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Pipeline360 Launches Ads360, Redefining B2B Advertising as a Measurable Demand Engine

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JWX and StackAdapt Partner To Give Advertisers Access to Consumer and Content Signals for Ad Targeting

Pipeline360

Pipeline360 announced the launch of Ads360, a next-generation B2B advertising solution designed to connect media investment to measurable demand and pipeline outcomes. Powered by Pipeline360’s AI-driven intelligence layer, Ads360 unifies audience targeting, cross-channel activation, and full-funnel measurement into a fully managed service, helping B2B marketers understand how advertising contributes to engagement, opportunity creation, and pipeline progression.

Pipeline360, a leading B2B marketing services partner, announced the launch of Ads360, its next-generation advertising solution to turn B2B media investment into measurable demand and pipeline impact.

Powered by Pipeline360’s intelligence layer, Ads360 unites audience intelligence, cross-channel activation, and full-funnel measurement into a single, fully managed service. Ads360 enables B2B marketers to move beyond siloed awareness tactics and better understand how advertising contributes to sustained demand momentum across the buyer journey.

As B2B buying cycles lengthen, buying groups expand, and AI-driven discovery reshapes how buyers research and evaluate solutions, CMOs and demand leaders are under pressure to prove that advertising drives business outcomes, not just impressions. Ads360 was built to meet that moment.

“For too long, B2B advertising has been measured by reach and clicks rather than real impact,” said Pipeline360 CEO Tony Uphoff. “Ads360 represents a shift toward accountability, showing how advertising supports demand, from early awareness and engagement through opportunity creation and pipeline progression.”

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Advertising that Finally Acts Like Demand

Unlike legacy B2B display programs that operate in isolation or within closed ecosystems, Ads360 activates verified B2B audiences across premium digital media channels. Through Navi360, Pipeline360’s intelligence engine, Ads360 applies AI-assisted optimization, audience building, and sequencing to ensure advertising efforts remain aligned with demand outcomes across the buying journey.

Navi360 brings together compliant first-party data, identity signals, engagement insights, performance indicators to support ongoing optimization and transparent reporting. Operating within Pipeline360’s Demand-as-a-Service (DaaS) model, Ads360 delivers enterprise-grade sophistication without requiring marketers to adopt new platforms or manage complex advertising infrastructure.

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“Our customers don’t want more tools – they want clarity and confidence,” said Matt Hummel, CMO at Pipeline360. “Ads360 builds on what’s already working, including our Branded Demand programs, and extends that impact across the broader digital media landscape so marketers can sustain engagement and accelerate pipeline.”

A Step Change from Legacy B2B Advertising

Ads360 represents a meaningful advancement in how B2B advertising is planned, executed, and measured. Key capabilities include:

  • Cross-channel activation across display, connected TV, and audio
  • Verified B2B audience reach and identity-driven targeting
  • Job-level, persona-based, and account-based audience strategies
  • AI-assisted pacing, sequencing, and optimization
  • Log-level reporting and transparent performance visibility
  • Full-funnel measurement that connects advertising exposure to engagement signals and pipeline activity

Together, these capabilities enable advertising to function as a connected demand engine rather than a standalone awareness tactic.

Part of Pipeline360’s Demand-as-a-Service Model

Ads360 is a core component of Pipeline360’s broader Demand-as-a-Service model, which brings together lead generation, advertising, content creation, lead nurture and qualification into one outcome-based managed system.

By integrating Ads360 with its existing demand solutions, Pipeline360 helps marketers reduce vendor sprawl and invest in a unified approach where brand visibility, demand capture, and pipeline acceleration work together.

“Our customers are asking for fewer vendors, clearer outcomes, and more confidence in their investments,” added Uphoff. “With Ads360, we’re giving marketers a more connected, measurable way to understand how advertising contributes to growth.”

With Ads360, Pipeline360 is setting a new standard for B2B advertising. One where brand visibility, engagement, and pipeline advancement work together as a measurable demand engine.

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Salesforce Announces the General Availability of Slackbot – Your Personal Agent for Work

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Salesforce Announces the General Availability of Slackbot – Your Personal Agent for Work

Salesforce Home IN

AI has changed our personal lives, answering any question, unleashing our creativity, and delivering tailored insights with a simple prompt. But in the workplace, AI hasn’t yet been so transformative — bogged down by unintuitive interfaces, fragmented across multiple teams and tools, beset by hallucinations and inconsistency, and lacking the context that the workplace demands.

At Dreamforce, we unveiled our vision for closing this gap: Agentforce 360 with Slack as the conversational interface where people and agents work together, connecting knowledge, actions, and data in real time. The idea is simple: Use Slack’s intuitive, familiar UI to connect every employee with reliable intelligence grounded in conversational data, customer data and metadata, and deterministic workflows.

By bringing the full power of the Agentic Enterprise where billions of workplace conversations already happen every week, working with enterprise-grade AI becomes as natural as talking to a coworker.

At the center of that vision is Slackbot, reimagined for the Agentic Enterprise.

Slackbot is now a deeply personal agent for work, built directly into Slack to help you get work done. It starts with the context you already have and works with the tools and information you already trust in Slack, always respecting your permissions and access controls. It can help you find answers, organize work, create content, schedule meetings, and take action — all without leaving Slack. There is nothing to install, nothing to learn, and nothing new to manage.

With Slackbot, businesses get access to an out-of-the-box employee agent that deeply understands every employee, their team, and how they work. And soon, Slackbot will be the best way to collaborate with Agentforce and third-party agents — a simple, conversational UI that can trigger actions and orchestrate workflows, all grounded in business intelligence and trusted data.

“Slackbot isn’t just another copilot or AI assistant. It’s the front door to the Agentic Enterprise, powered by Salesforce. This brings AI that is grounded in your company’s data, workflows, and Slack conversations, right into the flow of work. It is the crucial step to realizing the future we’ve been building toward — bringing Agentforce 360 to life with an intuitive, conversational interface, and elevating every human with enterprise-grade AI.”
– Parker Harris, Co-Founder, Salesforce & Chief Technology Officer, Slack

Starting , the new Slackbot is generally available for Business+ and Enterprise+ customers.

Slackbot does not ask you to adapt to it. It adapts to you.

One simple concern has held back enterprise AI adoption: Can AI actually be trusted to complete the sensitive tasks and interactions that are fundamental to business success? To trust an AI agent with your work, it needs to understand your context. It needs to know what you are working on, who you work with, what matters, and what doesn’t. It needs to see the conversations where decisions are made, the files that carry context, and the systems of record that hold the truth of your business. It needs to respect permissions, protect your data, and show up in a way that feels natural, not disruptive.

Most agents fall short here. They live in separate apps, fragmenting attention as people constantly switch between tools. They start from zero context. They make you explain yourself over and over again. The capabilities may be impressive, but they do not earn your trust.

Slackbot is different — built directly into Slack for every employee, with no setup or training required. Most importantly: Slackbot already knows you. Slackbot understands your conversations, files, channels, and the people you work with. It sees what you can see, always respecting your permissions and access controls. That built-in context makes Slackbot more accurate, more relevant, and more useful in helping you get real work done because it instantly understands you and your work. To get started, you simply talk to it.

Over time, Slackbot will become even more capable.

As Agentforce and other agents are introduced across your organization, Slackbot will become your ideal way to work with all of them. No need to hunt for the right agent or tool – Slackbot will figure out what systems to involve based on what you ask it. It will coordinate the work across systems and agents behind the scenes, while you stay focused on what matters.

Slackbot helps you get work done faster. Looking ahead, it becomes the trusted front door to a new way of working, where people and AI agents operate together in Slack, simply, naturally, and with confidence.

“Slackbot is saving me, at bare minimum, 90 minutes a day. I ask it to create a canvas for a meeting tomorrow, and in 17 seconds it’s better than I could ever do. It tells me next steps, saving time and money.”
– Sinan, Head of Beast Games Marketing, Beast Industries

This is what it looks like when AI understands you and your work

Most AI tools sound the same no matter who is using them. They lack context, miss nuance, and force you to jump between tools to get anything done. The result is work that feels impersonal and disconnected from how you actually operate.

When AI truly understands you and your work, it stops feeling generic and starts feeling useful. It gives you personalized answers, not search results.

Slackbot helps you throughout your day, whether it’s helping you answer “Where is that important file someone sent me?” or “What did we decide about the Q4 budget?” or asking it to “Catch me up on Project Phoenix.”

From conversation to action

Slackbot does not just help you find information. It helps you move forward. You can draft meeting notes, project updates, or briefs in seconds, then refine them through conversation. You can turn a rough idea into a shared canvas ready for collaboration without breaking your flow.

When it comes to managing your day, Slackbot knows you and your schedule. It helps you find time on calendars and schedule meetings, surface priorities, and set reminders so important work does not fall through the cracks. Instead of switching tools, you stay focused and keep momentum.

When conversation meets customer context

This is where AI becomes genuinely strategic.

Standalone models can help you write faster, but they cannot help you decide better. They lack access to the systems that hold your customer history, account details, and business reality.

Slackbot bridges that gap by connecting conversation with customer context. By working with your Salesforce data alongside Slack conversations and files, Slackbot can help you prepare for meetings, understand account health, and identify next steps with a level of insight that neither system can deliver on its own.

Before a critical customer conversation, Slackbot can pull together recent discussions, relevant documents, and customer history into a single, clear briefing. It turns scattered information into shared understanding.

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Enterprise trust, delivered personally

Enterprise AI only works when trust comes first.

Slackbot is built on the same foundation of trust as Slack itself. It respects roles, permissions, and access controls, and only surfaces information you are authorized to see. Your interactions remain private to you. Your data is protected and handled in accordance with Slack’s security and compliance standards.

This is enterprise-grade trust delivered through a personal, conversational experience.

A new way of working, already in motion

This launch marks the next step in how work gets done in the agentic era. Whether you are collaborating with a team or focused on deep individual work, Slackbot removes the friction between what you are doing now and what you need to do next.

Instead of adapting to tools, the tools adapt to you.

“Slackbot is like a brilliant colleague who is always available and already understands our business. Instead of switching between apps and losing my train of thought, I can stay in Slack and keep moving. It has completely changed how efficiently I work.”
– Christine McHone, Global Enterprise TMT Leader, Slalom

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What customers are saying:

Over the past few months, we’ve had customers including Beast Industries, reMarkable, Xero, Mercari, Engine, Slalom and Salesforce internally use Slackbot, and the feedback has been exceptional. Here’s what they have to say:

“Salesforce is customer zero for Slackbot, and I see how AI can fundamentally change the way we work. Our teams are saving several hours per week that were previously spent hunting down information, finding context, and getting answers. Not only is this a better experience, it makes real time for what matters: serving customers, strategic thinking, and driving innovation. AI should eliminate the busywork so people can focus on the work that matters.” – Andy White, SVP Business Technology, Salesforce

“I’ll put my phone down for 10 minutes and come back to 30 or 40 messages, so I just ask Slackbot and it tells me what we decided, why, and what I need to do. It’s like an assistant who’s paying attention when I’m not.” – Spencer, Creative Supervisor, Beast Industries

“Slackbot has been an absolute ‘chaos tamer’ for our team. It’s not just about simple tasks; it’s about having a virtual teammate with far more context based on our business than any external tool. I estimate it saves me about 30 minutes a day just by eliminating context switching, making it incredibly convenient and a huge driver of efficiency.” – Mollie Bodensteiner, SVP of Ops, Engine

“Slackbot is my second brain, it is the memory I wish I had myself. Whenever I have a question about the work we do, I always ask Slackbot. Whether it’s translation help or finding information, both about people and operating the company, Slackbot provides the information and the context to explain it.” – Peter Stoltz, VP, Head of CIO Office, reMarkable

“Because so much of our work happens in Slack, Slackbot already understands our world. I don’t have to write a long brief to get it up to speed on what we’ve been working on or how the team operates; it just gets the context from day one.” – Megan Harrigan, Director of Global CX Projects & Readiness, Xero

“Using Slackbot, we ran a full operational analysis on two high-volume scheduling channels. It instantly surfaced a clear pattern showing us which locations were highly reliable and which were the source of high cancellation rates. This deep-dive data analysis, which would have historically taken an employee weeks to compile manually, was delivered in minutes.” – Director of Product and Operations at a Large Media Company

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VdoCipher Addresses Scalability & Interactivity Challenges in Live Streaming

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VdoCipher Addresses Scalability & Interactivity Challenges in Live Streaming

As live streaming becomes essential for educators, enterprises, and digital platforms, many organizations struggle with high costs, scaling issues, and content delivery. VdoCipher’s live streaming platform is built to solve these problems with a broadcast-grade experience that is scalable and cost-effective.

Popular tools like Zoom and Google Meet are great for meetings, but they are not built for large-scale live broadcasts inside websites or apps. On the other hand, many traditional live streaming platforms come with high bandwidth costs, limited concurrent streams, and weak control over viewers and content, especially for long-form, paid, or regulated use cases.

“Most live streaming platforms were not built for businesses that need scale, and cost predictability,” said Siddhant Jain, Founder & CEO of VdoCipher. “At VdoCipher, we focused on solving real operational gaps such as DVR controls, concurrent streams, and content delivery while keeping bandwidth costs practical for high-volume use cases.”

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Built for Real-World Live Streaming Use Cases

VdoCipher Live offers true DVR functionality, allowing viewers to pause, rewind, and replay up to six hours of an ongoing live stream. Every session is automatically recorded and immediately available as adaptive video-on-demand (VOD), removing the need for separate recording or hosting workflows.

The platform is optimized for cost efficiency at scale, delivering 30–60% lower bandwidth costs compared to traditional providers. A one-hour HD stream for 100 viewers costs approximately $4.50, compared to $6.30–$12.60 on competing platforms. VdoCipher Live supports up to 50 concurrent live streams, making it suitable for enterprises, training providers, and multi-classroom environments.

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Platform Automation, Interactive Tools

Built for platform-led businesses, VdoCipher provides APIs for stream automation, scheduling, concurrency management, and authenticated chat. Domain-level access restrictions prevent unauthorized embedding and misuse, reducing piracy and compliance risks.

Engagement features include authenticated and anonymous QnA’s, chat, live polls, quizzes, emoji reactions, and moderation tools, supporting interactive learning and participation across education, training, and event-based use cases.

Roadmap Focused on Advanced Live Capabilities

Upcoming enhancements include semi-audio conferencing, DRM and dynamic watermarking for live streams, browser-based streaming without third-party software, real-time analytics, and customizable player controls.

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Datadobi Strengthens Global Partner Strategy Designed for Enterprises Tackling Data Governance Challenges in the AI Era

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Matrix Unveils Sidevine: AI Data Fabric & Intelligence Layer Designed to Eliminate Manual Entry Tax & Unlock Raw Data

Datadobi

Newly Created Role Promotes Daniel Esposito to Vice President of Global Alliances to Focus on Expanding Partner Ecosystem

Datadobi, the global leader in unstructured data management, announced the promotion of Daniel Esposito to Vice President of Global Alliances. The appointment aligns with Datadobi’s mission of giving enterprises clarity and control over their unstructured data. In this role, Esposito will build a global network of service partners capable of delivering comprehensive unstructured data management solutions—addressing a rapidly emerging landscape that bridges traditional storage vendors and cloud providers.

As organizations deal with explosive data growth, AI adoption, and compliance pressures, they need partners who can architect, deploy, and manage data mobility and governance solutions. Datadobi is focused on finding and enabling service partners who can help customers tackle these challenges with StorageMAP, the company’s unstructured data management platform.

“The opportunity is clear: enterprises need data management capabilities that neither storage vendors nor hyperscalers fully address,” said Michael Jack, CRO, Datadobi. “But this market won’t build itself. It requires service partners with deep expertise who can design solutions, not just move boxes. Daniel’s promotion reflects our commitment to finding and empowering those strategic partners—building an ecosystem where none existed before.”

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Esposito brings more than 20 years of IT industry experience to the role. He joined Datadobi over nine years ago as Director of Strategic Partnerships and Business Development, where he helped build the foundation of the company’s partner strategy. He’s expanded Datadobi’s network beyond traditional OEM relationships to include systems integrators, managed service providers, and specialist consultancies that deliver complex data transformation projects.

“This isn’t about transactional partnerships—it’s about building a category,” said Daniel Esposito, Vice President of Global Alliances at Datadobi. “We’re looking for partners who see the same opportunity we do: a massive gap between what enterprises need for unstructured data management and what’s available today. My focus is on recruiting, enabling, and growing partners who can help customers solve problems that storage arrays and cloud buckets alone can’t address. That requires investing in the right people, training, and go-to-market resources—and we’re committed to making that happen.”

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Esposito will oversee the expansion of Datadobi’s global alliances team and develop enablement programs to equip service partners with the technical and sales capabilities needed to deliver StorageMAP-based solutions at scale.

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HawkEye 360 Appoints Michael Turner as Chief Legal Officer

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HawkEye 360 Appoints Michael Turner as Chief Legal Officer

HawkEye 360, the global leader in signals intelligence data and analytics, announced that Michael Turner has joined the company as Chief Legal Officer, effective December 2025. Turner brings more than 25 years of legal, executive, and public company leadership experience across defense technology and other venture-backed growth companies.

In conjunction with the appointment, Dennis Burnett will continue in his role as General Counsel, with a focus on regulatory, export, privacy, and national security matters. He will also support special projects across the company.

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“Michael’s leadership comes at a pivotal time for HawkEye 360,” said John Serafini, Chief Executive Officer of HawkEye 360. “As we integrate Innovative Signal Analysis, build on our recent Series E funding, and continue to scale our platform, Michael’s depth in public-company governance and complex transactions directly supports our long-term vision and growth strategy.”

Turner most recently served as Chief Legal and Administrative Officer at 908 Devices, Inc., a publicly traded company that delivers purpose-built chemical analysis tools for health, safety, and defense applications. Previously, he served as Co-Chief Executive Officer, General Counsel, and Executive Director of Allied Minds plc, a publicly traded venture firm focused on early-stage technology and life sciences company development.

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“I am excited to join HawkEye 360 at such an important moment for the company and the defense technology industry,” Turner said. “I look forward to working closely with the leadership team as the company continues to grow and expand its capabilities.” He added, “HawkEye 360’s mission-driven approach and focus on delivering trusted, actionable signals intelligence to U.S. Government and allied customers strongly align with my own experience and values.”

Earlier in his career, Turner was a Partner at DLA Piper LLP and Goodwin Procter LLP, advising public and private companies, investment banks, and private equity and venture capital firms on capital markets, mergers and acquisitions, and corporate governance. He holds a B.A. from Colgate University and a J.D. from Cornell Law School.

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Foxit and Ingram Micro Expand Partnership into Canada, Giving Resellers Access to the Industry’s Most Advanced Document Management Solutions

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Foxit and Ingram Micro Expand Partnership into Canada, Giving Resellers Access to the Industry's Most Advanced Document Management Solutions

Canada’s Channel Just Got Smarter – Ingram Micro Canada Adds Foxit’s Powerful, AI-Enhanced PDF and eSignature Tools to Empower Resellers and Their End Clients Across Every Industry

Foxit, a leading provider of innovative PDF and eSignature products and services, helping knowledge workers to increase their productivity and do more with documents, and Ingram Micro, a business-to-business (B2B) platform company for the global technology ecosystem, announced the expansion of its already successful U.S. partnership to include the Canadian market. The move gives Canadian resellers and their end clients access to the most modern, secure, and productivity-boosting document management solutions available today.

With Foxit now on the Ingram Micro Canada line card, resellers can offer end customers a complete suite of enterprise-grade solutions — including Foxit PDF Editor and eSign — packed with features that today’s organizations demand: intuitive design, lightning-fast performance, airtight compliance and security controls, and AI-driven intelligence and automation that turbo-powers everything from editing to redaction.

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“This is a win for Foxit and Ingram. It’s a win for resellers. It’s a win for end customers,” said Dave Allison, Senior Vice President, Worldwide Channel Sales, Foxit. “We’re offering the Canadian channel a major upgrade, not just an alternative, but a smarter way to work with documents. With Ingram’s unmatched reach and channel attentiveness, and Foxit’s relentless product innovation, partners can now deliver more value, more functionality, and more impact to their end clients across every sector, and in the process, significantly boost their bottom-line.”

From legal and financial services to healthcare, government, and education, Canadian resellers can now meet the rising demand for modern document workflows with a solution that’s fast, secure, and constantly raising the bar. With Foxit, organizations gain tools that not only match the capabilities of legacy products — they exceed them, without the complexity or heavy cost burden.

“For us at Ingram Micro Canada, this partnership is more than just a products offering expansion, it’s a strategic move to bring next-gen document management solutions to our reseller community,” said Alistair Edmondson, Director of Advanced Solutions, Ingram Micro. “Our partners want choices. They want innovation. They want reliability. And they most certainly want to bring their end clients the optimum return on investment. Foxit delivers on all fronts, and we’re excited to put that power into the hands of thousands of partners across the country.”

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Key benefits for Ingram Micro’s Canadian reseller network include:

  • New revenue opportunities from a high-demand, high-growth product category
  • AI-enhanced productivity tools that make life easier for content creators, legal teams, HR departments, and more
  • Enterprise-grade security and compliance features tailored for industries where data privacy, protection, and auditability are non-negotiable
  • An R&D-driven roadmap that constantly evolves to meet changing customer needs
  • A partner-focused approach that includes onboarding support, sales enablement, and co-marketing initiatives

“What makes this truly exciting is the enthusiasm we’ve felt from Ingram Micro Canada’s team,” added Allison. “From the very first training sessions, it was clear they understood the market-shifting potential of Foxit. They’re not just checking a box, they’re championing a better experience for their resellers and end clients.”

Foxit’s expansion into Canada with Ingram Micro reflects a shared vision to drive digital transformation at scale. As remote work, data protection, and operational efficiency continue to shape buying decisions, the timing couldn’t be better for resellers to add Foxit to their portfolios.

“The message to Canadian resellers is simple,” said Edmondson. “If your customers need smarter, faster, more secure document tools, you’ve just found the solution.”

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Commvault Launches Unified Data Vault – Giving Cloud Developers an Easy and Unified Way to Bring Resilience to S3 Data

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Commvault Launches Unified Data Vault - Giving Cloud Developers an Easy and Unified Way to Bring Resilience to S3 Data

As companies rely on S3 to store application and AI data, Commvault gives developers the immutability, encryption, and policy governance needed to protect these data sets

Commvault, a leader in unified resilience at enterprise scale, announced Commvault Cloud Unified Data Vault, a cloud-native service that extends Commvault’s trusted, air-gapped protection and resilience capabilities to data written using the S3 protocol, bringing S3-based application and AI data under a unified, policy-driven protection framework for enterprise-grade resilience. By providing a secure, Commvault-managed S3-compatible endpoint, Unified Data Vault allows organizations to apply policy-driven, immutable protection to modern and custom workloads, including emerging AI workloads, without installing agents or building new data management silos.

Many developers use S3 as the default for exporting backups – from databases like CockroachDB and Greenplum to services such as Docusign and monday.com. But these backups often reside in fragmented buckets without consistent retention or lifecycle control, creating hidden compliance risks and recovery delays. Unified Data Vault closes that gap by giving teams a simple path to move S3-compatible backups directly into Commvault-managed, air-gapped storage where data automatically inherits encryption, deduplication, immutability, and policy-based governance.

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“S3 fundamentally changed how data is stored. Unified Data Vault changes how that data is protected,” said Pranay Ahlawat, Chief Technology and AI Officer, Commvault. “For the first time, developers and data teams can write directly to a Commvault-managed S3 endpoint and instantly gain encryption, immutability, and policy control – all without agents or added complexity. It’s enterprise-grade cloud protection built for the builder.”

Key customer benefits include:

  • Agentless simplicity: Enables applications, databases, and workflows to write directly to a Commvault-managed S3 endpoint—no agents or custom scripts required.
  • Automated enterprise protection: Provides immutability, encryption, deduplication, and retention controls the moment backups are written.
  • Developer-ready programmability: Integrates with native S3 workflows and APIs for frictionless DevOps automation.
  • Centralized policy governance: Applies consistent protection and user-set compliance policies across clouds, regions, and workloads.

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“For many developers, S3 is the de facto data store for popular AI databases and applications. The need to bring a strong resilience posture to these large data sets is paramount,” said Archana Venkatraman, Senior Research Director, IDC. “Unified Data Vault extends centralized automation, immutability, and air-gap protection to S3 data in a way that is easy for developers to use yet gives SecOps and IT teams peace of mind that end-to-end resilience is factored into the equation.”

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Veratad Technologies Expands IDMax(SM) Reusable Identity Network Through Partnership with Trinsic

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Veratad Technologies Expands IDMax(SM) Reusable Identity Network Through Partnership with Trinsic

Veratad Technologies, a global leader in secure age and identity verification solutions, announced a significant expansion of its IDMaxSM reusable digital identity credentials network through a new partnership with Trinsic. This strategic integration enhances Veratad’s industry-leading identity orchestration platform, Veratad VX, by enabling access to over 1 billion more digital IDs through Trinsic’s ecosystem of trusted, third-party ID providers.

Veratad first introduced IDMax on February 1, 2024, as a pioneering capability within the Veratad VX platform that allows organizations to accept and trust reusable digital identity credentials issued by third parties, alongside traditional and advanced verification methods. Since its launch, IDMax has continued to evolve through strategic partnerships with leading identity credential issuers and providers, including integrations with CLEAR, PLAID, Signzy and other trusted networks.

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By integrating Trinsic, Veratad expands its coverage to an additional 50+ networks, including bank-based IDs in the Nordics, mobile driver’s licenses in native wallets, and eIDs across Europe, reinforcing Veratad’s commitment to interoperability, flexibility, and future-ready identity acceptance.

As digital ID adoption accelerates, this integration ensures Veratad will continuously maintain industry-leading coverage by leveraging Trinsic’s role as a credential ecosystem aggregator. This means that Veratad customers will always be able to accept a broad range of third-party reusable identity credentials orchestrated in Veratad VX with other verification methods such as identity data verification, document authentication, mobile verification, Smart2FA, knowledge-based authentication, and biometrics.

“From the beginning, IDMax was designed to be an open acceptance network, not a credential itself, but a way to trust many,” said John E. Ahrens, CEO of Veratad Technologies. “By partnering with Trinsic, we are expanding the reach of reusable identity globally while preserving Veratad’s role as an independent orchestration layer for regulated, real-world use cases.”

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“Trinsic exists to make the fragmented digital ID ecosystem accessible,” said Riley Hughes, CEO of Trinsic. “By integrating Trinsic’s infrastructure for digital ID acceptance, Veratad has unlocked low-friction, high-assurance verification options for its customers in another 30 countries around the world, while maintaining trust and regulatory alignment.”

The expanded IDMax network, delivered through Veratad VX, enables organizations across industries, including financial services, e-commerce, gaming, social networks, healthcare, and age-restricted commerce, to reduce fraud, meet regulatory requirements, and improve the customer experience through secure, reusable identity acceptance.

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Keeper Security Strengthens Atlassian Williams F1 Team’s Cyber Defenses With KeeperPAM

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Keeper Security Strengthens Atlassian Williams F1 Team's Cyber Defenses With KeeperPAM

Keeper’s unified, cloud-native PAM platform enables Atlassian Williams F1 Team to enforce zero-trust security, control privileged access and streamline operations globally

Keeper Security, the leading provider of zero-trust and zero-knowledge Privileged Access Management (PAM) software protecting passwords, passkeys, privileged accounts, secrets and remote connections, announces the release of a new case study with Atlassian Williams F1 Team, highlighting how the Formula 1 team has strengthened its cybersecurity posture with KeeperPAM®.

In Formula 1, success depends not only on a driver’s performance on the track, but also on the vast amounts of data behind each team’s car design, testing and strategy. Every race weekend, Atlassian Williams F1 Team generates terabytes of sensitive telemetry data and performance insights that inform critical team decisions. Any intrusion into a team’s network infrastructure – from the factory to the paddock – could prove disastrous.

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Atlassian Williams F1 Team operates with a fast-moving, globally distributed workforce that requires secure access to critical systems, data and infrastructure from anywhere. The team needed a solution that would support secure operations during race weekends without adding complexity. KeeperPAM delivered this through a zero-knowledge architecture built on a zero-trust foundation, providing role-based access controls, privileged session monitoring and automated provisioning – enabling Atlassian Williams F1 Team to strengthen their security while maintaining the speed and agility needed to remain competitive in Formula 1.

“We travel to more than 20 countries each season, and every week we’re in a new location,” said James Vowles, Team Principal, Atlassian Williams F1 Team. “Our infrastructure isn’t sitting safely in a single building – it’s traveling with us. That means we have to be secure wherever we are, from airports to garages to our HQ at Grove. With Keeper, we can build that fortress around our operations.”

“We now have a single platform where all of our connections go through,” said Harry Wilson, former Head of Information Security, Atlassian Williams F1 Team. “We can apply policies, monitor usage and generate alerts when something unexpected happens. Doing that on our server estate was critical to us.”

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KeeperPAM is the industry’s first unified, cloud-native PAM platform built on a foundation of zero-trust and zero-knowledge security. It consolidates enterprise password management, secrets management, privileged session management, endpoint privilege management, secure remote access and dark web monitoring into a single, easy-to-deploy solution. KeeperPAM eliminates the complexity of legacy tools while providing organizations with real-time visibility, automated least-privilege enforcement and AI-driven threat detection to stop breaches in real time.

“There are times when employees need local admin rights on a case-by-case basis,” added Wilson. “With Keeper, we can grant that access in real time and remove it automatically, which gives us confidence that privileged access is always controlled and temporary.”

“Modern PAM has to do more than secure credentials. It has to automate provisioning, rotate secrets and eliminate standing privileges – all without burdening IT teams,” said Craig Lurey, CTO and Co-founder, Keeper Security. “That’s why we designed KeeperPAM to replace complexity with automation, freeing organizations like Atlassian Williams F1 Team to focus on what they do best.”

With KeeperPAM, Atlassian Williams F1 Team has centralized and secured all credentials within a zero-knowledge platform, eliminating plaintext exposure while automating the provisioning and deprovisioning of privileged access. This approach reduces operational overhead for IT teams, enforces least-access by default and ensures that sensitive systems remain protected without slowing down the engineers and staff who rely on them every weekend.

By implementing KeeperPAM, Atlassian Williams F1 Team is able to operate securely worldwide on any network and with any device, while enabling its engineers to focus on performance innovation. For the team, security has become a competitive advantage.

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Sisense Advances AI-first Analytics with Agentic and Actionable Capabilities for Faster, Smarter Decisions

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3PR Revolutionizes Digital PR for Ecommerce Stores With New AI-Led Visibility Deliverables

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Sisense Intelligence assistant, MCP server support, and competitive LLM options give developers and business users AI flexibility for building and scaling

Sisense, the leading provider of AI-driven analytics that transforms enterprise data into a competitive edge, ushered in a new generation of analytics that not only interprets data but acts on it. Powered by the new Sisense Managed LLM—a foundational layer that simplifies AI deployment – platform innovations like the Model Context Protocol (MCP) server and Sisense Intelligence assistant allow product leaders, developers and data teams to build, scale, and explore data faster while seamlessly integrating Sisense into the applications and workflows they already use.

Over the last several years, Sisense has been working toward an AI-first analytics approach that gives customers comprehensive access to their data and maximizes the value of their tools. Earlier this year, Sisense introduced Sisense Intelligence, a unified suite of agentic AI capabilities designed to use natural language to accelerate analytics creation, insight generation, and decision-making. With release, Sisense streamlines the workstream to allow users and creators to ask a question and build, scale, and differentiate faster, from within the applications they already have available to them.

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“We’ve reached a point in AI adoption where organizations expect high-quality tools, efficient results, and the flexibility to choose how they power their analytics,” said Ariel Katz, CEO of Sisense. “These advancements allow our customers to expand the capabilities of their current tools and embrace agentic analytics. Our customers can now explore data models, create dashboards, and deploy assistants with greater semantic intelligence, faster performance, and more control, whether via embedded products or MCP.”

MCP: Secure AI Integration with Governance and Context

Sisense’s MCP server offering allows organizations to connect external AI tools securely and is designed to help ensure results from queries come from available governed semantic models:

  • Let users ask questions directly within the AI agents they already use, such as ChatGPT or Claude
  • Maintain governance, lineage, and context across environments and interfaces, and enforce granular data access rights, ensuring users can only access and view data they are authorized to see based on existing security permissions
  • Extend analytics into new experiences like chat or copilots without rebuilding the underlying analytics stack

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Sisense Intelligence assistant Now Available for All Users

Building on that foundation, Sisense Intelligence assistant is now broadly available, empowering every builder and creator to interact with data more intuitively and create analytics assets at unprecedented speed. With assistant, users can:

  • Generate data models and sample data for rapid prototyping
  • Build and iterate on charts in conversational workflows
  • Assemble and refine full dashboards with redefined and improved user inference
  • Explore, edit, and manage analytics while ensuring alignment with governed organizational models
  • Empower end-users to perform self-service data exploration directly within embedded applications through intuitive, AI-guided experiences

“At Bioforum, we are focused on making clinical trial data easier to explore and understand,” said Francois Van Vuuren, Director, Clinical Data Systems & DM Programming at Bioforum, a biometric research organization. “By integrating the Sisense Intelligence assistant into our BioGRID analytics platform, we use Sisense’s AI capabilities to reduce complexity, enable faster insights, and improve how teams interact with their data, while maintaining high standards and meeting regulatory compliance.”

Expanded LLM Capabilities for Users and Developers

Sisense offers a Managed LLM, an end-to-end solution that gives organizations instant access to LLM-powered analytics without the complexity typically required to deploy and manage AI infrastructure. This fully managed solution removes operational barriers, accelerates time-to-value, and allows teams to safely experiment with AI across the business. Paired with the BYO LLM offering, this approach reinforces the company’s focus on providing users and customers of all sizes with flexible AI solutions that fit their needs.

New Feature Availability

Sisense’s actionable intelligence offerings, including assistant, MCP, and BYO LLM, are now available. The Sisense Managed LLM service is now available to select customers in private preview and is scheduled to be available to all customers in Spring 2026, utilizing Sisense Intelligence capabilities.

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BlueMatrix and Perplexity Partner to Bring AI-Powered Discovery to Institutional Research

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BlueMatrix and Perplexity Partner to Bring AI-Powered Discovery to Institutional Research

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Partnership enables AI-assisted research while preserving BlueMatrix’s governance-first approach to integrating AI into regulated research environments.

BlueMatrix, the global leader in capital markets content publishing technology, backed by Thoma Bravo, announced a partnership with Perplexity to bring AI-enabled research and discovery to institutional investors using BlueMatrix’s governed, entitlement-aware framework.

This partnership brings the power of AI to institutional research in a way that fully respects the industry’s need for entitlements, compliance, and control — enabling buy‑side professionals without compromising governance.

The partnership brings entitled broker research to Perplexity Enterprise users, enabling buy-side professionals to query their subscribed research content, alongside Perplexity’s broader capabilities, including real-time financial data, earnings transcripts, and deep research tools. Investment professionals and researchers can use natural language to surface relevant insights without changing existing data ownership, entitlements, or compliance structures.

As buy-side teams increasingly turn to AI tools for research synthesis, a formal integration through BlueMatrix replaces unstructured, ungoverned usage with compliant distribution that preserves attribution and entitlements. For research firms, the partnership provides a new channel to increase visibility with buy-side clients, gaining presence within an AI-powered discovery experience while maintaining full control over their content. Research providers also gain new insight into how investors interact with their analysis, the types of questions they’re asking most, and how they’re integrating those results into their AI-assisted workflows.

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BlueMatrix provisions access on behalf of research providers, ensuring that only clients with existing agreements can surface a firm’s content. Proprietary research remains fully protected and is never used to train AI models or leave institutional boundaries.

“At BlueMatrix, our priority is to help clients benefit from AI while preserving attributions, control, and flexibility,” said Patricia Horotan, CEO of BlueMatrix. “This new partnership with Perplexity delivers AI-assisted discovery to investors and researchers, alongside Perplexity’s suite of accuracy-driven research tools. For research providers, it offers a new way to ensure that their insights reach clients at the moment of decision, without compromising the governance and data-first, model-neutral strategy they expect from BlueMatrix.”

“BlueMatrix is a clear leader in capital markets technology, and we’re excited to align AI innovation with the strict governance standards financial institutions and researchers require,” said Dmitry Shevelenko, Chief Business Officer at Perplexity. “This partnership demonstrates how AI-powered search can enhance access to entitled research content, and help investment professionals move from question to insight and insight to decisions faster.”

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During the initial pilot phase of the partnership, a limited group of early-adopter firms will explore AI-assisted workflows that allow buy-side professionals to ask natural-language questions, such as “What are my brokers saying about this issuer following earnings?”, and receive cited responses grounded in the entitled research they already receive via BlueMatrix and Perplexity’s broader suite of Enterprise data sources.

Use cases will include issuer monitoring, post-earnings and event follow-up, and thematic research. BlueMatrix serves as the secure system of record for research authoring, compliance, and entitlements, while Perplexity Enterprise provides the AI-powered interface for deep research. A private beta will follow integration and security reviews, with feedback from participating firms shaping future features, including expanded entitlement scenarios, deeper use of metadata such as RIXML, and enhanced engagement reporting.

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Diginius is Now a Badged TikTok Channel Sales Partner

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Diginius is Now a Badged TikTok Channel Sales Partner

London-based SaaS company Diginius is pleased to announce that they now have a Marketing Technology badge in the TikTok Marketing Partners Program.

The TikTok Marketing Partners Program’s Marketing Technology category recognizes best-in-class companies with proven expertise in building solutions for TikTok campaigns, execution, and optimization.

As a badged Marketing Technology Partner, Diginius helps brands maximize performance through advanced campaign management tools, strategic expertise, and seamless integration with TikTok tools. Diginius is trusted by advertisers to scale campaigns efficiently, drive measurable business outcomes, and unlock the full value of TikTok media investments.

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“I see this badge as a true testament to Diginius’s global reach, technical capabilities, and partner relationships,” Nate Burke, CEO of Diginius said. “We’re very excited to help our agency partners grow through TikTok.”

“TikTok is continuously strengthening measurement capabilities, providing more actionable insights for your TikTok campaigns.” said Lorry Destainville, Global Head of Product Partnerships at TikTok. “Clients increasingly look to understand TikTok’s broader role in their effective marketing mix. The user journey isn’t linear, and media mix models provide a more holistic view of revenue-driving insights. By working with one of our vetted marketing partners, advertisers can better understand TikTok’s media effectiveness in relation to their media mix, and leverage those insights toward stronger business results.”

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IFS only vendor to be named a Customers’ Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer Field Service Management Report

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IFS only vendor to be named a Customers' Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer Field Service Management Report

IFS, the leading provider of Industrial AI software, has been recognized as a Customers’ Choice in the 2025 Gartner® Peer Insights™ Voice of the Customer: Field Service Management report – the only vendor to receive this distinction.

Cathie Hall, Chief Product and Customer Officer at IFS, said, “As IFS continues to drive forward the Industrial AI revolution, we feel this recognition represents an important independent validation of our leadership position in this market, and our focus on innovation. Being the only vendor with a Customers’ Choice Distinction for field service management is something the team at IFS is proud of.”

IFS continues to trailblaze the application of AI in the industrial setting with very specific industry use cases, and Field Service Management is a key area where Industrial AI has been applied to deliver service excellence, optimize workforce efficiency, and grow service revenues.

Customer feedback is essential for IFS in shaping its product roadmap and drives the continual innovation striven for at IFS to enable service-centric organizations to accelerate growth and deliver for their customers.

This is the latest in a string of recent Gartner recognitions for IFS, having been recognized as a Leader in the Gartner, “Magic Quadrant™ for Cloud ERP for Product-Centric Enterprises”, and a Customers’ Choice for Cloud ERP for Product-centric Enterprises in the Manufacturing industry earlier last year.

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Vendors placed in the upper-right “Customers’ Choice” quadrant of the “Voice of the Customer” have received strong ratings for overall experience, product capabilities, and service & support relative to the market. This is a good indicator for satisfaction with the vendor’s products in this market. Reviews from IFS’ peers include:

  • “Functionality: IFS offers a wide range of features that cover the entire service cycle” – Applications Manager, Services
  • “Working in partnership with IFS over several years has produced significant gains in utilization, efficiency and end user experience.” – IT Director, Energy and Utilities
  • “IFS has been and continues to be incredibly collaborative with us throughout the entire process. They are quick to step in as needed when clarification or support is needed.” Director of Customer Services and Support, Manufacturing
  • “IFS have worked with us in lock step, truly listening to our business needs and reflecting the conversation in their roadmaps.” Global Director Service Solutions, IT Services.

Gartner, Voice of the Customers Field Service Management, Peer Contributors, 16 December 2025

GARTNER is a registered trademark and service mark of Gartner and Magic Quadrant and Peer Insights are a registered trademark, of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.

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Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences with the vendors listed on the platform, should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

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GeoGen.io Debuts Enterprise API Suite to Scale Generative Engine Optimization

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Propelled by Unprecedented Demand from Global Martech Enterprises, GeoGen.io Bridges the Gap Between Strategic Content and AI-Driven Search Visibility.

GeoGen.io, the pioneering platform in the Generative Engine Optimization (GEO) space, today announced the public launch of its much-anticipated API suite. This move marks a significant milestone in the evolution of digital marketing, providing Martech enterprises with the industry’s most robust programmatic toolkit to monitor, analyze, and influence brand visibility across the world’s leading Large Language Models (LLMs) and AI search engines.

As generative AI platforms like ChatGPT, Perplexity, Google’s Gemini, and Microsoft Copilot increasingly replace traditional “blue-link” search results with direct, synthesized answers, the demand for sophisticated tracking has reached a fever pitch. GeoGen.io’s API launch is a direct response to a surge in interest from enterprise-level marketing technology firms requiring deeper, scalable integration of GEO data into their proprietary stacks.

We have delivered the most complete API in the GEO space to ensure that the next generation of marketing is built on verifiable AI intelligence, not guesswork.”

— Patrick Dewald

Engineering the Future of Visibility: The GeoGen API

The newly released API is designed for scale and depth, surpassing current market offerings by providing granular access to the entire “visibility lifecycle.” Unlike surface-level scrapers, the GeoGen.io API offers a multi-dimensional view of how a brand is perceived by AI models.

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Key capabilities of the Geogen API include:

• Comprehensive Analytics Integration: Programmatic access to visibility trends, sentiment analysis, and the unique “Share of Voice” metrics within AI responses.
• Deep Citation Mapping: Detailed endpoints for tracking exactly which sources AI models are citing, allowing enterprises to identify the high-authority domains influencing their brand narrative.
• Competitive Intelligence at Scale: Real-time data on competitor mentions and positioning within generative answers, enabling brands to pivot strategies instantly.
• High Volume Entity & Prompt Management: Tools for managing thousands of brand entities and custom “buyer-style” prompts to simulate real-world user queries across multiple AI models.

“Traditional SEO was a game of rankings; GEO is a game of perception,” said Patrick Dewald, CEO at GeoGen.io. “Our API was built because the world’s largest Martech enterprises told us they didn’t just want a dashboard, they wanted a data foundation. We have delivered the most complete API in the GEO space to ensure that the next generation of marketing is built on verifiable AI intelligence, not guesswork.”

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The Shift from Clicks to Citations

The launch comes at a time when digital marketing is experiencing its most volatile shift in two decades. Recent industry data suggests that “AI Overviews” and “Answer Engines” are drastically reducing click-through rates for traditional search results. However, being cited or mentioned by an AI model as a trusted source has emerged as a high-intent conversion signal.

GeoGen.io’s platform enables companies to move beyond “search volume” and focus on “Answer Engine Optimization” (AEO). By optimizing for the semantic recognition patterns used by AI crawlers, brands can ensure they are the “go-to” source for LLMs. The GeoGen API empowers agencies and in-house teams to automate this optimization at a scale previously impossible.

Navigating “Perception Drift” and AI Trust

As AI models are updated and fine-tuned, brands often suffer from “Perception Drift, a phenomenon where an AI’s description of a product or service changes over time due to new training data or model updates. GeoGen.io’s real-time monitoring through its API allows enterprises to catch these shifts before they impact the bottom line, ensuring brand consistency across the entire AI ecosystem.

With support for a wide array of models, including Gemini, Grok, Perplexity, ChatGPT, Google AIO, Google AI Mode and Microsoft Copilot (With more models coming soon), GeoGen.io provides a unified lens through which to view the fragmented AI landscape.

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Temporall Launches ‘Tempo’ to Solve the AI Value Paradox: AI Intelligence for the Enterprise

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SMAART Company Launches Technology Solutions for Modern Businesses

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Temporall, the leader in AI Behavioural Analytics, announces Tempo, a unified AI Intelligence platform, quantifiably linking AI to tangible business outcomes.

Temporall, the leader in AI Behavioural Analytics, announced the launch of Tempo, a unified AI Intelligence platform designed to link workforce AI adoption directly to business outcomes. As organizations struggle with the “AI Value Paradox”, where investment in AI tools fails to show a clear impact on the bottom line, Tempo provides the objective data leaders need to make informed strategic decisions.

While enterprises continue to deploy tools like Microsoft 365 Copilot, Google Workspace Gemini, and ChatGPT Enterprise, the AI Value Paradox persists because there is no single way to verify if AI use is actually improving performance across different organizational groups. Tempo solves this by syncing telemetry from co-existing AI assistants, productivity suites, and HR systems into one independent data model. This transforms fragmented data into the clear AI Intelligence required to validate ROI and scale AI transformation with confidence.

By linking how people use AI directly to business performance data, we give leaders the certainty they need to move from experimentation to a measurable AI advantage.”

— Thomas Davies, CEO, Temporall

Thomas Davies, CEO of Temporall, commented:

“The AI Value Paradox is a reality for most enterprises today: they are spending significantly on AI tools but cannot prove the return on that investment. Tempo solves this by providing a single, independent source of AI Intelligence. By linking how people use AI directly to business performance data, we give leaders the certainty they need to move from experimentation to a measurable AI advantage. We built Tempo so our customers can stop building complex data pipelines and focus on AI-enabling their organisations with clarity and confidence.”

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Four Pillars of AI Intelligence: Tempo empowers the C-Suite to manage AI transformation across four dimensions:

– AI Usage & Adoption: Rapidly diagnosing adoption levels, and identifying where and how to ramp change initiatives to drive sustained fluency.
– AI Impact: Correlating AI proficiency levels, from “Power Users” to “Non-users”, with actual work outcomes and organizational performance.
– AI Cost Management: Pinpointing license waste by linking usage to spend, enabling data-led procurement and reduced Total Cost of Ownership (TCO).
– AI Governance: Providing auditable evidence for executive oversight and compliance with emerging frameworks like the EU AI Act.

Tempo: How it Works

The platform transforms fragmented data into a unified intelligence layer through:

– Natural Language Query (NLQ): Leaders can reveal the “where, what, and why” of their AI and work data using simple conversational prompts.
– Report Generator: Rapidly deliver insights that can be trusted and acted on immediately to support strategic decisions.
– AI-Ready Proprietary Data Model: An independent model that unifies and normalizes disparate AI and work data sources into an auditable dataset.
– Advanced Segmentation: Filter activity by role, level, tenure, and location to understand exactly how different groups are using AI.
– Organizational Network Analysis (ONA): Understand how AI usage affects connectivity and collaboration across your organizational groups.

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The platform transforms fragmented data into a unified intelligence layer through:

– Natural Language Query (NLQ): Leaders can reveal the “where, what, and why” of their AI and work data using simple conversational prompts.
– Report Generator: Rapidly deliver insights that can be trusted and acted on immediately to support strategic decisions.
– AI-Ready Proprietary Data Model: An independent model that unifies and normalizes disparate AI and work data sources into an auditable dataset.
– Advanced Segmentation: Filter activity by role, level, tenure, and location to understand exactly how different groups are using AI.
– Organizational Network Analysis (ONA): Understand how AI usage affects connectivity and collaboration across your organizational groups.

The “Expert-Led” Path to Value

Temporall Services delivers Managed AI Intelligence, a comprehensive service model that provides “AI Intelligence as-a-Service” directly through the Tempo platform. We act as an extension of your team so your leaders can focus on strategic outcomes rather than data plumbing. To eliminate the technical burden and risk of building internal analytics, our engagement begins with the Tempo Jumpstart, a high-velocity, 30-day technical and strategic onboarding phase.

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Five9 Launches Joint Enterprise Customer Experience AI Solution With Google Cloud

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AI Darwinism: New BrightEdge Data Reveals AI Pioneers Stalling

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The Power of Intelligent CX and AI Come Together to Transform How Enterprises Deliver Exceptional Customer Experiences

Five9 announced an expanded partnership with Google Cloud and a new joint Enterprise CX AI solution that helps large enterprises connect with their customers so they can deliver seamless, intelligent, and AI-driven customer experiences.

The integrated solution combines the Five9 AI-Infused Intelligent CX Platform with Google Cloud’s Gemini Enterprise for Customer Experience (GECX) and advanced AI services, including Google’s Gemini models and Google Cloud’s Vertex AI platform. Together, these technologies create an integrated experience to deliver intelligent, personalized, and seamless interactions across every channel.

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“Enterprises , including the largest brands in the world, are looking for an end-to-end platform that connects data, AI, and humans to turn every interaction into a meaningful outcome,” said Mike Burkland, Chairman and CEO, Five9. “By combining Five9’s market-leading, AI-driven platform with Google Cloud’s leadership in AI and data innovation, we’re making it easier than ever for businesses to deliver smarter, more personalized customer experiences.”

The integrated solution will provide a seamless user experience for agents, supervisors, and administrators that unites contact center workflows, analytics, and AI assistance. Customers will enjoy faster, more personalized, and proactive interactions, while enterprises gain the agility to innovate quickly, scale effortlessly, and manage every capability with confidence.

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“Digital transformation requires technology that helps businesses solve complex challenges unique to their industry, especially in the realm of customer engagement,” said Kevin Ichhpurani, President, Global Ecosystem and Channels at Google Cloud. “By utilizing Gemini Enterprise for Customer Experience and Google’s Gemini models, with Five9’s unique intelligent CX platforms, Five9 is providing a unified, AI led CX platform that can improve customer experiences and move the intelligent contact center industry forward.”

The expanded partnership features an enhanced go-to-market strategy aimed at transforming the customer experience across key industries, including retail, financial services, healthcare, and more. Customers and partners can purchase Five9 directly through Google Cloud Marketplace, which allows them to benefit from the ease of procurement, consolidated billing, and draw down on their Google Cloud spend commitment.

In addition to this partnership, Five9 is also deepening its commitment to Google Cloud’s AI infrastructure by running key internal enterprise workloads on Google Cloud. As part of this expansion, Five9 is using Gemini Enterprise to drive greater efficiency across sales, legal operations, customer success, and business operations management.

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Ad Security Trends And Threats For 2026

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Stan Grinevich
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Ad Security Trends And Threats For 2026

It has been another big year for ad security breaches, malvertising, phishing, and crypto threats. Although we can never truly know what the future holds, looking at data and market influences, here are 4 ad security predictions for 2026.

Let’s start with AI

In 2025, we have seen AI become so realistic that people are having issues differentiating human-made content from AI, rage bait and disinformation continue to cloud peoples judgment and has increased, and deep fake technology has continued to advance. Our number one prediction for 2026 is that AI will be used to create more elaborate online scams.

Expected trend: Increase in the number of deep fake video scams

Older internet users and vulnerable people are at risk of being duped by deep fake videos. One of the ways this is happening is through fake product results. For example, fake before-and-after results from dieting to show the effectiveness of a workout plan or herbal remedy or product mock-ups that have never been produced. Another way visual deep fakes can trick people is through fake celebrity endorsements. Traditionally, celebrity endorsements increase product trust, so the non-tech-savvy could fall for scams that show fake celebrity product and service promotion. AI deep fake images and videos are getting more sophisticated, making it much more difficult for an end user to recognize if they are fake or real.

Expected trend: Increase in the number of deep fake voice scams

With as little as 2 minutes of an audio or video, the AI can create believable voice clones that could be used to imitate celebrities, and other important roles such as your boss! End users can be targeted through fake ads or voice messages to be convinced to make a purchase of a fake product or service giving personal and financial data that can then be exploited Malvertisers to exploit end users.

Studies have found that people are more critical of human voices when asked to differentiate them from AI, and often, participants find the AI voices sound more trustworthy than actual human voices. Therefore, Ad Networks, DSPs, and Programmatic agencies need to be vigilant with their compliance and need tools to identify AI creatives. Not all end users can spot the sound of an AI voice.

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Expected trend: Phishing attempts will continue to rise and become more convincing

Phishing attempts are one of the most consistently effective cyber threats, with 3.4 billion phishing emails sent daily, and 94% of malware infections originating from phishing emails. It continues to grow because Malvertisers are constantly finding new ways to bypass security and improve the quality of their emails and texts. Phishing is so effective because it creates a sense of urgency, fear, or opportunity. With the fast development of technology, ‘phishing kits’ are now being sold that provide entry points into an organization’s network, making it even easier to phish data.

Phishing violations have increased dramatically throughout 2025, with Q3 ending with a 188.1% increase in Phishing detections scanned by AdSecure compared to Q2.

Phishing attacks can be generated by AI, which allows Malvertisers to build to scale and use bots to create clones that increase the risk to people falling victim to the scam. The combination of easy access to AI tools that improve text and automate processes, along with the ability to purchase prepackaged malware, is likely to result in a spike in more successful Phishing attacks and breaches of sensitive information and data.

Emerging Trends: Drive-by Crypto Mining opportunities for bad actors

On Jan 23, 2025, US President Donal Trump signed EO 14178: “Strengthening American Leadership in Digital Financial Technology.” The aim was to direct federal agencies to review all existing Crypto-related regulations and guidance, with orders to look at which regulations could be modified or repealed. Additionally the SEC established a new Crypto task force to build “clear regulatory lines,” more sensible disclosure, and enforcement. The goal was to reduce “regulation by enforcement” and instead provide more predictable, rules-based oversight. As reported in The Verge, in April 2025, the Department of Justice also scaled back certain Crypto-related prosecutions. According to a memo, prosecutors have been instructed to stop targeting virtual currency exchanges, mixers (“tumbling services”), and offline wallets just for regulatory-violation–type issues.

The other big news headline in Crypto in October this year was that President Trump pardoned Changpeng Zhao, the Cryptocurrency multi-billionaire, who was serving prison time for pleading guilty to enabling money laundering in 2023. This pardon coupled with the deregulation of Crypto encourages cyber criminals to boost their Crypto Mining activities. Drive-by Crypto Mining, also known as Cryptojacking is a tactic used by Malvertisers. When an end user clicks on a malicious ad it quietly downloads Crypto mining software onto their device(s) and uses the devices power and bandwidth to secretly mine Crypto coins on behalf of the Malvertiser. Comparing Q2 to Q1 AdSecure saw an increase of 200% in the detection of ads with hidden Crypto Mining code. And comparing Q3 to Q2, it continued to rise by 92.3%. With this upward trend, we can expect to see Malvertisers continue to use ads to exploit end users with Drive-by Crypto Mining.

Emerging Trend: Age Verification laws may increase the number of VPN scams

Age verification for adult content websites is now law in several countries: the UK, France, Spain, Germany, Italy, and 25 US states. Adult websites are required by law to verify the age of their end users. Because these verification methods handle sensitive personal data such as official Government ID documents, many end users are reluctant to verify their age to view adult content. Because of this, the VPN industry has seen a big increase in end users downloading VPN software. There is even current talk in some countries and US States to ban the use of VPNs in the future. However, with the popularity rising in VPN interest from end users, cyber criminals are sure to take advantage with advertised offers of VPN products that once downloaded, could be full of malicious software that can be used to compromise end users. End users should only use VPNs that are well known and trusted, avoiding ads and going directly to a VPNs official website to obtain this utility.

A final word…

As technologies like AI continue to improve and global markets shift with changes and deregulation, tech savvy bad actors are constantly looking for ways to use advertising to show malicious ads via ad networks, ad exchanges, publishing websites to exploit unsuspecting end users. Therefore, ad security and delivering a high-quality user web browsing experience is of prime importance. Malvertisers are constantly on the lookout for new technologies and opportunities to increase the number of scams that they create, and all it takes for them to win are unsuspecting end user clicks.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

Rakuten Advertising Unveils Innovation Labs to Accelerate AI Innovation in Affiliate Marketing

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PRNewswire
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Rakuten Advertising Unveils Innovation Labs to Accelerate AI Innovation in Affiliate Marketing

New AI hub in Rakuten Advertising’s Insights & Analytics portal launches with AI Recommendations for advertisers and publishers

Rakuten Advertising, the leading global affiliate marketing network, announced the launch of Innovation Labs — a product collaboration hub dedicated to accelerating the development and application of AI to generate greater ad spend efficiency to target and engage customers across Rakuten Advertising’s world-leading affiliate publisher network. Now available in Rakuten Advertising’s Insights & Analytics portal, Innovation Labs provides advertisers and publishers with a space to explore and collaborate on future-forward AI capabilities for advancing their businesses.

“Innovation Labs is the culmination of years of work growing our Affiliate Intelligence suite of AI-powered tools, bringing together data, AI, premium partnerships, and expert strategies,” said Nick Stamos, CEO at Rakuten Advertising. “This initiative is a critical step in how Rakuten Advertising contributes to the broader Rakuten Group’s ‘Triple 20’ commitment to using AI to drive 20% greater efficiency for our employees, our internal teams, and most importantly, our clients. Innovation Labs will shorten the build–measure–learn cycle of AI transformation, helping us fast-track future investment in capabilities that improve outcomes for our advertisers and publisher partners.”

Marketing Technology News: MarTech Interview with Nicholas Kontopoulous, Vice President of Marketing, Asia Pacific & Japan @ Twilio

At launch, Innovation Labs brings advertisers and publishers new AI Recommendations.

  • For Advertisers: AI Recommendations will holistically analyze multidimensional advertiser attributes to determine new types of publishers. This involves analyzing profiles, products, and other characteristics to identify publishers with demonstrated success in similar campaigns, and also identifying new categories of publishers that will maximize growth.
  • For Publishers: AI-driven Product Recommendations reduces research time and enhances monetization for publishers by instantly identifying emerging trends from partnered and non-partnered advertisers, then curating them for a targeted audience and narrowing options with brand and category filters.

Marketing Technology News: The ‘Demand Gen’ Delusion (And What To Do About It)

Rakuten Advertising’s Data Science team will conduct rolling experiments within Innovation Labs, guided by client and partner feedback, leading to an always-on research and development space where new features will be added and updated on a regular basis.

“Innovation Labs delivers on our promise to continually innovate our products in a way that benefits every participant in the affiliate marketing universe, from brands, to publishers, and ultimately, consumers,” said Adam Rostan, Chief Product Officer. “This will be a space where advertisers and publishers can experiment, collaborate, and scale new use cases with AI to deliver greater efficiency for everyone and accelerate the industry’s growth.”

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Bloomreach Announces Loomi Connect, Bringing Your Brand’s Search Intelligence to the OpenAI Marketplace

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Business Wire
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Bloomreach Announces Loomi Connect, Bringing Your Brand’s Search Intelligence to the OpenAI Marketplace

Bloomreach

Bloomreach, the AI company for personalization, announced Loomi Connect, making the company’s product discovery technology available through the Model Context Protocol (MCP). Loomi Connect brings a brand’s ecommerce search intelligence directly into ChatGPT and other conversational AI platforms. As a result, the same algorithms and data points that drive conversions on a retailer’s site can now power how products appear in AI conversations — ensuring consistency, control, and relevance wherever customers shop.

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

ChatGPT isn’t the competitor to the brand experience — it’s the next channel within it. Brands need to take control of their presence on conversational channels, just as they did with email, SMS, and social media.

According to a Bloomreach survey* of more than 1,000 U.S. consumers, nearly 50% of consumers shop with ChatGPT several times a week or more, and if forced to choose, 41% would choose it over shopping directly on an ecommerce site. As businesses seek to meet customers where they are, Bloomreach is offering a new solution that will allow them to bring years of refined on-site search intelligence directly into conversational channels.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

Loomi Connect integrates Bloomreach’s product discovery technology directly into ChatGPT apps built on the OpenAI marketplace. This ensures that as product catalogs are surfaced in ChatGPT, they are powered by the same performance data and fine-tuned algorithms that drive a brand’s on-site search — making recommendations both relevant to customers and profitable to businesses. Loomi Connect also captures interaction data and feeds it back into customer profiles, enabling personalization to flow seamlessly between ecommerce sites and conversational channels.

“ChatGPT isn’t the competitor to the brand experience — it’s the next channel within it,” said Raj De Datta, co-founder and CEO, Bloomreach. “Brands need to take control of their presence on conversational channels, just as they did with email, SMS, and social media. Loomi Connect is here to help them achieve that, ensuring the same data and AI that our customers have been using to power their owned-channel experiences can now extend into conversational channels too.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

Cast AI Valued at Over $1 Billion With the Launch of Its GPU Marketplace

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Business Wire
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Cast AI Valued at Over $1 Billion With the Launch of Its GPU Marketplace

Cast AI

OMNI Compute is a unified compute marketplace that enables enterprises to access, provision, and operate GPUs across any cloud or region, with no code changes required

Cast AI, the leading Application Performance Automation platform, introduced OMNI Compute, a unified compute control plane that automatically discovers available resources across cloud providers and regions and transparently extends existing Kubernetes clusters to consume them. The company also announced a strategic investment from Pacific Alliance Ventures (PAV), the U.S.-based corporate venture arm of Shinsegae Group, an over $50 billion Korean conglomerate with leading businesses across retail, consumer, and digital platforms. With this round of funding, Cast AI’s valuation exceeds $1 billion.

“Shinsegae Group’s investment, and our over one billion dollar valuation, underscore the market’s confidence in our platform vision and our ability to execute it globally,” said Cast AI Co-Founder and CEO Yuri Frayman. “Enterprises don’t just need cheaper infrastructure – they need infrastructure that adapts automatically as workloads and constraints change. That is what our automation agents were built to do, and this investment helps us scale that globally.”

Cast AI expands its platform with the introduction of OMNI Compute

OMNI Compute connects external capacity, including GPUs, as native compute, allowing workloads to run on the most appropriate resources, locally or across clouds, without code changes, reconfiguration, or operational changes.

It enables organizations to run any workloads, starting with AI inference, without cloud lock-in, while maintaining control over where they execute, to meet compliance and regulatory requirements. Teams can scale services without pinning workloads to a single region or provider, while keeping infrastructure behavior automated, governed, and predictable as demand increases. It applies the same optimization used across the Cast AI platform to this external capacity, including GPU sharing, monitoring, and rightsizing, ensuring AI workloads remain efficient and consistent at scale.

“OMNI Compute makes GPUs fungible at the infrastructure layer so capacity isn’t trapped inside a single cloud or region,” said Cast AI President and Co-Founder Laurent Gil. “Teams can move, allocate, and run production workloads wherever compute is actually available, with control over cost and performance.”

Oracle is one of the cloud providers making GPU capacity available to Cast AI customers through OMNI Compute.

“Partnering with Cast AI opens entirely new markets for Oracle Cloud Infrastructure (OCI). Organizations running on any hyperscaler can now access best-in-class OCI AI infrastructure instantly, in every Oracle Cloud region worldwide,” said Karan Batta, Senior Vice President, Oracle Cloud Infrastructure. “OMNI Compute removes the barriers that traditionally kept enterprises locked into a single cloud, and it allows them to tap into OCI’s high-performance GPU fleet the moment they need it. This is a step-change in how global AI platforms will deploy and scale.”

Marketing Technology News: Martech Interview with Aquibur Rahman, CEO of Mailmodo

“Cast AI’s ability to provision GPUs across multiple clouds and regions without requiring a single change to our application code is a game changer for running AI inference at scale,” said Uniphore Vice President of Product Management Erik Johnson. “In production, access to reliable, affordable GPU capacity exactly where and when you need it is mission-critical. OMNI Compute makes that possible. It enables us to serve our customers in different regions around the world, gives us instant flexibility, eliminates regional GPU shortages, and lets us maintain consistent performance globally. That level of portability fundamentally changes how we build and operate real-time AI workloads.”

Cast AI rapidly growing across all geographies, industries, and segments

Shinsegae Group’s investment follows a year of record performance at Cast AI that included a Series C funding round led by G2 Venture Partners and SoftBank Vision Fund 2, with participation from Aglaé Ventures, joining alongside existing partners Hedosophia, Cota Capital, Vintage Investment Partners, Creandum, and Uncorrelated Ventures.  Cast is trusted by organizations including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Marketing Technology News: Beyond the Trend: How CMOs Are Using Cultural Intelligence to Lead Culture, Not Chase It

Global expansion has been a core pillar of Cast AI’s growth strategy following its Series C funding round. Since then, the company has significantly expanded its regional footprint by opening new offices in Bangalore, London, New York, and Tel Aviv, as well as subsidiaries in Canada, France, India, Korea, Lithuania, Singapore, and the UK.

“Cast AI has built a category-defining automation platform that aligns with the needs of modern, cloud-first enterprises,” said Hyuk Jin Chung, Managing Partner at PAV. “We see strong demand for the company’s platform globally, and we’re excited to support the company’s continued expansion in Asia and help it realize its long-term Application Performance Automation platform vision.”

“With Cast AI, we’ve automated continuous infrastructure optimization on Amazon EKS – reducing operational overhead while improving application efficiency and cost control in real time,” said Kyotack Tylor Kim, Head of Next Gen Cloud Group at Samsung Electronics. “OMNI Compute’s unified control plane has the potential to change how enterprises like Samsung run AI infrastructure globally.”

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

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