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RainFocus Introduces RainFocus Nexus, a Secure, Cloud-Agnostic System of Specialized AI Agents to Act As Teammates to Event Marketers

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MTS Staff Writer
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RainFocus Introduces RainFocus Nexus, a Secure, Cloud-Agnostic System of Specialized AI Agents to Act As Teammates to Event Marketers

AI agents support decision-making, handle complex configurations and adaptations, and seek to be interoperable with organizations’ existing enterprise stacks

RainFocus™, provider of the next-generation event marketing platform, announced RainFocus Nexus, an intelligent collaboration system for event marketing workflows. Unveiled during the keynote address at RainFocus’ annual flagship event, INSIGHT, the framework introduces a proprietary orchestration and context layer to the RainFocus platform that empowers specialized AI agents to act as teammates to event marketers, planners, and sales reps.

RainFocus Nexus represents a paradigm shift from a modular feature set of tools with which users click buttons to configure rules to a modular augmented workforce with which users set goals and the platform configures itself. This process incorporates a Human-in-the-Loop (HITL) approach for continued governance and control.

The framework champions an open, interconnected future, rejecting the “walled garden” approach in favor of an ecosystem-first design. RainFocus Nexus allows for interoperability, built on open standards like the Model Context Protocol (MCP) and A2A (Agent-to-Agent) communication. It enables organizations to “bring their own infrastructure” via its cloud-agnostic approach and plug RainFocus Nexus agents into their existing enterprise stacks.

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RainFocus Nexus is defined by a three-tiered architecture that bridges strategy and execution, transforming event management from a passive system of record into an augmented, autonomous workforce.

  1. The Orchestration Layer: Specialized agents in this modular set are each designed for specific jobs to be done within the event lifecycle.
    • Agents available today for select clients:
      • Configuration Agent: Automates complex setup workflows such as registration and branding, reducing time-to-launch by up to 50%.
      • Concierge Agent: Serves as a personal guide for attendees, handling scheduling, wayfinding, and recommendations in real time.
    • Agents available in the near future:
      • Growth Agent: Accelerates pipeline by identifying high-value targets, personalizing outreach, and instantly delivering buying signals to sales and demand gen teams.
      • On-Site Agent: Provides event teams with a real-time pulse on critical event metrics and assistance with event operations through agentic decision-making support.
      • Integration Agent: Orchestrates data flow and connectivity across the wider martech and revops stacks, ensuring event marketing data is acted on immediately.
  2. The Context Layer: This underlying intelligence layer translates raw data into “operational intuition” by moving beyond simple datasets. It understands between the lines and supports decision-making with a real-time pulse on attendee sentiment and event program requirements.
  3. The System of Record: The data substrate that powers RainFocus Nexus is made possible through RainFocus Modules (Attendee, Content, Exhibitor, On-Site, Insight, Sales) and the Global Attendee Profile. It acts as the single source of truth for event marketing, feeding existing martech and revops stacks.

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What RainFocus Executives Are Saying:

  • Marius Milcher, VP of Platform Strategy and AI: “We’re charting the evolution from a static ‘system of record’ to a dynamic ‘system of context.’ Central to this vision is the architecture of a dedicated Context Layer designed to understand and support the ‘messy middle’ involved in events marketing orchestration. By laying this foundation, we enable agents to become intuitive teammates for your planners, marketers, and sales reps — proactively anticipating the next best action to turn your event into a responsive growth engine.”
  • JR Sherman, CEO: “From the beginning, we’ve highlighted the importance of real-time unified data, especially given the vast amounts of first-party behavioral insights gleaned through a multitude of formats across the event marketing channel. RainFocus Nexus is built on top of the RainFocus platform, enabling customers to leverage our integrated and consolidated architecture as a single source of truth to power our AI agents as well as theirs. Together, we’re placing customer journey optimization well within reach.”
  • Ashleigh Cook, CMO: “We have the benefit of understanding the entire customer journey across multiple systems. Our agents are equipped with the right context for real-time situational awareness, enabling them to act proactively to automate complex workflows, offer scalable attendee personalization, signal sales and marketing teams to accelerate pipeline opportunities, and more. We’re shifting from ‘AI as a feature’ with isolated tools like chatbots to ‘AI as a workforce’ with integrated agents.”
  • Brian Gates, SVP of Industry Strategy: “The key differentiator is that RainFocus Nexus was designed for the agentic web, ensuring interoperability, governed autonomy, and vendor neutrality. Our users gain a near limitless superpower to architect experiences at unprecedented scale. Their ability to accelerate lifetime value, exponentially grow loyalty, and be hyper-focused on the quality of engagement will usher in a new era of experiential marketing.”

Additional RainFocus Announcements at INSIGHT:

  • Sales Module: The Sales Module connects sales, events, and marketing around the same audience, data, and outcomes to close any visibility and communication gaps between teams. It enables sales leaders to track sales activities relative to sales goals. Events move from being isolated moments to becoming true revenue engines.
  • RainFocus Webinars: Most organizations still manage webinars separately from their event strategy. RainFocus Webinars introduces two new, connected capabilities: webinars built into Base Module for recurring standalone programs, and embedded virtual and hybrid session technology for large, multi-track events. Both are run on the RainFocus platform; use the same data model, governance, and branding; and flow into the Global Attendee Profile.
  • Meetings: Designed for sales teams, event teams, and executives to create measurable moments that drive business outcomes without logistical chaos. Hosts can manage availability, rooms, locations, and approvals in one place. Sales can request, reschedule, and prepare without spreadsheets or side emails. Event teams can keep control while removing friction for everyone involved.

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Comscore 2026 State of Programmatic Report: CTV and Audio Expected to Drive Growth With Cross-Channel Performance Measurement Critical to Smarter Allocation Across Platforms

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MTS Staff Writer
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Comscore 2026 State of Programmatic Report: CTV and Audio Expected to Drive Growth With Cross-Channel Performance Measurement Critical to Smarter Allocation Across Platforms

Third annual Proximic by Comscore report underscores performance accountability, with AI-powered optimization now viewed as essential

Proximic by Comscore released its 2026 State of Programmatic Report, based on over 200 media buyer respondents, with 58% expecting their programmatic investment to increase in 2026 and 87% saying cross-channel performance metrics inside programmatic platforms are critical or valuable for decision-making. The findings signal a maturing programmatic market focused less on scale at all costs and more on intentional spend, stronger control layers, and accountable performance across channels.

“Programmatic is entering its mature growth phase, where buyers are moving budget with purpose and demanding transparency, quality, and outcomes across every screen,” said Rachel Gantz, Managing Director of Proximic by Comscore. “This year’s report shows the overwhelming majority of marketers recognize that AI-powered optimization is essential and that the next wave of growth will come from smarter allocation across CTV, audio, and privacy-forward activation.”

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Key findings from the 2026 State of Programmatic Report

Programmatic growth continues, led by CTV

  • More than half, or 58% of respondents expect their programmatic investment to increase in 2026.
  • CTV and Audio are the only two media channels expected to see year-over-year programmatic budget growth, with CTV expected to capture 26% of media budgets on average and audio expected to capture 10% on average.
  • The largest funding source for programmatic CTV and audio budgets in 2026 is expected to be from linear TV. 45% of marketers are moving budgets from linear TV to CTV, and 21% are reallocating spend from linear to programmatic audio.

AI is now table stakes, with a hybrid operating model

  • 82% of marketers say AI-powered optimization is essential.
  • 69% of respondents plan to use some AI-generated creative, but only 11% expect AI to make up more than 40% of their creatives.
  • Top AI applications marketers expect to rely on in 2026:
    1. Audience targeting and modeling (88%)
    2. Campaign pacing and bid automation (77%)
    3. Measurement and attribution (71%)
    4. Fraud detection and brand safety (70% )

Privacy-forward activation pushes contextual and first-party approaches

  • 43% of respondents plan to increase their use of contextual targeting in 2026.
  • In privacy-regulated verticals, 50% of respondents say that contextual is their main targeting tactic.

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Outcomes matter more than engagement

  • Marketers rank the following metrics as most important when measuring the effectiveness of their programmatic campaigns:
  • Conversion rate (62% of respondents)
  • ROAS (47% of respondents)
  • Reach and frequency (46% of respondents)
  • Click through rate (CTR) (39% of respondents)
  • Social engagements (7% of respondents)

As programmatic expands further into CTV and audio and privacy expectations continue to rise, buyers are prioritizing strategies that improve quality, reduce risk, and connect spend to business outcomes. The 2026 report introduces an evolved view of the programmatic stack, focusing on “Growth, Control, and Performance,” reflecting how buying teams are actually planning and operating today.

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FADEL Unveils FADEL AIVA™, Its AI Technology for Brand Compliance and Licensing Operations

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PRNewswire
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FADEL Unveils FADEL AIVA™, Its AI Technology for Brand Compliance and Licensing Operations

FADEL, a global leader in AI-driven brand compliance and licensing software, announced FADEL AIVA™, its AI technology designed to transform how organizations manage end-to-end licensing and marketing compliance operations.

AIVA unifies FADEL’s generative, analytical, and predictive AI capabilities along with purpose-built AI agents embedded in FADEL’s Brand Vision and IPM Suite solutions, enabling intelligent automation across complex licensing and marketing workflows.

“AIVA represents a fundamental shift in how licensing and marketing teams operate,” said Tarek Fadel, Founder and CEO of FADEL. “We’re moving beyond AI that simply generates insights to AI that also acts on them, helping organizations protect their brands, reduce compliance risk, and operate faster and more confidently and securely across complex global workflows.”

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AIVA delivers insight with vision – detecting expired content across social platforms, combating unauthorized grey market sellers, reducing copyright infringement from licensed IP, predicting royalty billings, suggesting strategies to mitigate tariff impact, and accelerating brand compliance across products and content.

Built on the AWS Bedrock Agentic AI platform, AIVA introduces specialized AI agents that reason and act within real licensing and marketing processes, streamlining approvals, reducing risk, and accelerating decision-making without disrupting existing workflows.

Initial AIVA agents include:

  • AIVA Reviewer Agent – Embedded in Product Approval workflows, this agent reviews product submissions against brand guidelines and licensing terms, validates property and product accuracy, moderates content for issues such as harmful material, and routes items back to licensees for revision or acknowledgement before licensor approval.

  • AIVA Contract Ingestion Agent – Operating alongside FADEL’s Brand Vision and IPM Suite, this agent interprets licensing contracts, extracts rights and obligations, and automatically creates parties, deals, and royalty payment terms to support downstream automation for brand compliance and royalty billing.

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Since 2021, FADEL has delivered continuous AI innovation to improve operational efficiency and customer experience. With AIVA, FADEL builds on this foundation, introducing agents that execute within workflows, not just inform them.

FADEL’s 2026 roadmap will expand AIVA with additional agents across licensing, royalty management, and marketing compliance.

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SutiCLM Redefines Contract Management With AI-Powered Automation and Intelligence

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PRNewswire
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SutiCLM Redefines Contract Management With AI-Powered Automation and Intelligence

Artificial Intelligence (AI) is transforming how businesses manage contracts by automating workflows that reduce errors, speed up negotiations, and improve compliance. From drafting to execution, SutiCLM by SutiSoft enables teams to operate more efficiently and make better decisions with AI-powered automation throughout the contract process.

“AI is not just improving contract management; it is empowering teams to work smarter while dramatically reducing operational friction,” said ND Reddy, CEO and Chairman of SutiSoft. “SutiCLM streamlines the entire contract lifecycle, enabling businesses to create, negotiate, approve, and securely store contracts from a unified solution.”

This press release emphasizes how SutiCLM leverages AI to reduce contract cycle time, minimize risk, and ensure consistent contract management, making contract management a strategic driver of business success.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Strategic Advantages of AI-Powered Contract Automation

AI Summarization & Insights

AI summarization and insights transform complex contracts into clear, actionable intelligence by highlighting key terms, obligations, and risks, empowering teams to quickly mitigate risk, ensure compliance, and make informed decisions with confidence.

Clause Suggestions

The comprehensive clause library enables teams to draft agreements quickly with pre-approved contract templates, minimizing risk and ensuring consistency across all contracts.

Risk Detection

SutiCLM’s AI engine proactively identifies nonstandard clauses, missing terms, and potential risks early in the contract process, giving teams the insight they need to negotiate favourable terms and prevent costly mistakes after signing.

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Instant Answers to Queries

With SutiCLM’s conversational AI, users can ask questions about payment terms, confidentiality clauses, and other contract details, enabling teams to make informed decisions quickly without waiting for legal review.

“Organizations that embrace AI-powered contract management can consistently shorten contract cycle times, enhance risk controls, and significantly reduce revenue leakage across the business,” added Reddy.

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What Happens to Attribution When the First Click Is AI?

By
Vlad Zhovtenko
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What Happens to Attribution When the First Click Is AI?

Digital marketers have long relied on attribution frameworks to understand how users discover brands and successfully convert. The traditional model of tracking clicks and multi-touch paths was integral to how brands allocated their budgets and justified the marketing spend of a given campaign.

Those days are fading fast, if not already gone. AI-generated search experiences now dominate the search experience and landscape. People skip search engines altogether, plugging their search queries into an LLM like ChatGPT. Even people whose first instinct is still to go straight to Google are served an AI overview prior to the list of links generated in response to their query. If they find the answer provided by the AI overview sufficient, they’re unlikely to trawl through the links below and click on one.

For marketers whose work has lived and died by the whether or not the link gets clicked, this is either apocalyptic or transformational. The answer may be murky, but the prevailing question is clear: if no one clicks an ad or even a link, how do we assign value or optimize marketing investments?

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AI acts as a discovery gateway, much as search engines did. Still, the dynamics of the user journey have been undeniably remade in ways that challenge existing attribution models.  Instead of clicking through multiple search results or scrolling ads, AI provides concise summaries that synthesize vast amounts of data into digestible overviews. No longer can marketers perfectly track the touchpoints of a user journey where someone searches for a product, clicks on a paid or organic link, lands on a brand site, and makes a purchase.

In other words, marketers have no way of tracking a journey that starts inside an LLM with a summarized response rather than a list of links. Even if the purchase still happens, how the user got there and why they made that purchase is opaque. A black box has come down around conversion. If you’re a marketer, that’s a problem.

Attribution is Dead, Long Live Attribution

Is this the death of attribution? Yes and no.

It’s certainly a major sea change. The era of path-based tracking is actively giving way to outcome-driven frameworks that focus less on how users got there and more on what happens after they arrive.

Even when traffic originates in AI-driven, non-click environments, platforms like Meta and Google still require conversion signals to fuel their own AI-driven optimization engines. These platforms rely heavily on post-conversion feedback loops to train machine learning models and improve ad delivery. Inaccurate conversion data diminishes their ability to optimize, resulting in poorer campaign performance.

Conversion APIs thus become critical in a post-click Internet. They allow brands to send clean purchase and event data directly to advertising platforms, bypassing browser limitations and privacy blockers. As AI-driven discovery obscures the early user journey, these APIs provide the essential post-conversion visibility that powers platform optimization.

Defining Outcome-Centric Attribution

Traditional attribution frameworks try to piece together user journeys across channels, from first to last touch. When those journeys begin in a summarized AI response or voice assistant interaction, reconstructing each step becomes guesswork at best, and basically impossible at worst.

Brands should now focus on structured outcome data that closes the loop regardless of the journey’s opacity. Absent cookies, data hygiene and consent-driven data collection will be key to the proper function of a robust data infrastructure.

To work, the new AI-minded marketing infrastructure must be able to collect and clean purchase data, enrich it with contextual signals, and feed it back into ad platforms via conversion APIs or similar mechanisms. This will move measurement upstream towards business outcomes like sales and lead generation.

Data, sales, and marketing teams need to work together to successfully manage this transition. Purchase and conversion data must be unified across channels and cleansed of duplicates or inaccuracies. Investing in data warehouses and customer data platforms that centralize this information will pay dividends later. Budget conversations need to shift focus from channel-level metrics to business outcomes. Incrementality testing and lift analysis will better validate where marketing is truly driving growth, not just clicks or impressions. Only continuous testing of new attribution approaches and conversion tracking methods will show marketers what truly works best for their specific brands and audiences.

The future of attribution will not resemble the past, even if the end goal of making a sale stays the same. It will be less about tracking every click and more about feeding clean and structured purchase data back into AI-powered platforms to unlock smarter optimization.

Brands that invest in conversion APIs to focus on outcome-driven measurement (fed by squeaky clean data) will gain the strategic advantage here. Closing the loop on conversions is the new currency of marketing success. Invest wisely.

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New Relic Launches Observability Solution for Complete Visibility into ChatGPT Apps

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Business Wire
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TopQuadrant Launches Enterprise Context Platform to Build Trusted AI

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Innovative engineering teams building ChatGPT apps can now eliminate the ‘black box’ of embedded AI to optimize this new sales channel and drive additional revenue streams

Monitoring for ChatGPT apps empowers businesses to confidently integrate their offerings into AI prompt answers

New Relic, the Intelligent Observability company, announced monitoring for ChatGPT apps, becoming the industry’s leading solution that provides businesses with complete visibility of their apps that live within ChatGPT. The solution gives businesses the ability to monitor the performance, reliability, and user experience of custom ChatGPT apps, extending critical insights to developers so they can proactively resolve costly application issues and confidently capitalize on opportunities with generative AI.

With New Relic’s observability solution for ChatGPT apps, engineering teams can now eliminate the ‘black box’ of embedded AI to optimize this new sales channel and drive additional revenue streams

“Bringing business services into the natural flow of a ChatGPT conversation is a powerful, intuitive, and revenue-generating strategy,” said New Relic Chief Product Officer Brian Emerson. “But once your carefully crafted application instantiates inside ChatGPT, it traditionally enters a black box where standard browser monitoring tools can fail. At New Relic, we’ve worked quickly to stay steps ahead of customers who want to maximize this opportunity, ensuring that businesses monetizing gen AI aren’t flying blind when it comes to user experience and system health.”

The I-frame Blind Spot: Seeing Through the GenAI Sandbox

Billions of people visit ChatGPT each month. Seizing on this opportunity to engage with this audience, businesses are building ChatGPT apps that bring their goods and services directly into the conversational interface. However, standard browser monitoring tools often falter in these restricted environments. For example, when an app is rendered in an i-frame in a conversation, one cannot see layout shifts, broken buttons, or the reason why users are leaving. Similarly, complex security headers, content security policies (CSPs), i-frame sandbox rules and limitations on client-side storage can obscure vital performance and user experience data.

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These visibility challenges are particularly perilous with AI-rendered results, where applications may face “hallucinated” user interface (UI) elements that look correct but function incorrectly, AI-generated text that breaks a carefully planned CSS layout, or even “ghost citations” where the AI references data that the app’s backend never actually provided. Without deep observability, these programmatic inconsistencies can remain invisible to the developer.

Unlocking Full-Stack Clarity for ChatGPT Custom Apps

ChatGPT app monitoring offers deep telemetry to ensure AI-generated UIs are functional, high-performing, and conversion-ready. Before developers can begin to fix a hallucination, they have to know about it. Traditional telemetry remains the backbone of this visibility, and New Relic’s browser agent is uniquely equipped to collect and analyze the data. The agent delivers instant insight into the latency and connectivity of an application within the GPT i-frame, alerts developers if a dynamic AI response triggers script or syntax failures in the user’s browser, and catches log items triggered to the console — providing real time granular monitoring.

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New Relic automatically tracks exactly how a user interacts with the content in the business’s custom app, from successfully clicking “buy now” to not engaging at all. Businesses are in control of specific benchmarks and event-driven analytics. For example, users can send a custom event every time an LLM successfully populates a chart according to specification, allowing developers to build dashboards that track “AI Render Success” versus “User Bounce Rate.” With New Relic, developers can stop guessing how their app performs when it’s hosted by someone else, while also maintaining the highest security and privacy standards.

The ChatGPT app monitoring solution delivers:

  • User Frustration Detection: Rage clicks, error clicks, and dead clicks can help identify when an application is causing friction for end users.
  • Layout Instability Monitoring: Track Cumulative Layout Shift (CLS) within the i-frame as the AI streams content in. Excessive CLS can cause a frustrating user experience.
  • Cross-Origin Insights: Gain a deep understanding of how an application performs when it doesn’t own the top-level window, helping developers optimize for different host environments.
  • End-to-End Traceability: Connect the user’s interaction in the ChatGPT i-frame all the way through to backend services, providing a complete picture of every transaction.

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Fivetran Selected by Vistaprint to Power Data Activation and Personalized Customer Experiences

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Business Wire
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Fivetran Selected by Vistaprint to Power Data Activation and Personalized Customer Experiences

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Vistaprint uses Fivetran to activate governed first-party data across advertising and owned channels, improving targeting efficiency, experimentation, and AI initiatives

Fivetran, the global leader in automated data movement, announced that Vistaprint, the design and marketing partner to millions of small businesses, has selected Fivetran to support its shift toward modern data activation and AI-ready customer experiences. With Fivetran powering secure, automated data pipelines and reverse ETL, Vistaprint is connecting governed first-party data directly into the tools its teams use every day across its marketing and customer engagement ecosystem.

Fivetran automates data movement from Vistaprint’s core systems into Snowflake and activates that governed data back into operational tools using reverse ETL.

Vistaprint relies on data to enhance personalization, optimize marketing performance, and streamline operations. The company uses AWS, Snowflake, and analytics tools like Statsig to understand how small businesses engage with its platform. As part of a multi-year modernization effort, Vistaprint has moved from on-premises systems to a cloud-first architecture and adopted a data mesh strategy that treats data as a trusted, shared resource across teams.

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“Vistaprint’s business is built on helping small businesses look professional and connect with customers, and data is central to that mission,” said George Fraser, CEO of Fivetran. “By using Fivetran to activate trusted first-party data across both paid and owned channels, Vistaprint can move faster, personalize experiences more effectively, and support AI-driven initiatives with confidence. We’re proud to support their evolution into a modern, data-driven organization.”

Fivetran automates data movement from Vistaprint’s core systems into Snowflake and activates that governed data back into operational tools using reverse ETL. In paid channels, Vistaprint uses reverse ETL to enrich platforms such as Google and Meta with first-party data, enabling more precise targeting and improved return on ad spend in programmatic advertising. This approach allows marketing teams to rely less on third-party signals and more on accurate, internally governed customer data.

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Reverse ETL also plays a critical role in Vistaprint’s owned-channel experimentation and optimization strategy. As part of an audience testing stack that includes Statsig, Iterable, and Contentful, reverse ETL is used to define and sync control and test groups across platforms. This ensures a single source of truth for audience eligibility, enabling consistent measurement of uplift across omnichannel campaigns and improving the reliability of experimentation results.

“Our marketing teams need fast access to trusted data in the platforms where campaigns are planned, launched, and optimized,” said Drew Forster, Director of Marketing Optimization at Vistaprint. “Fivetran makes that possible by activating data directly into our marketing and customer engagement tools. It has changed how quickly we can personalize campaigns, test new ideas, and support the AI initiatives we’re investing in. We’re moving faster and making decisions with more confidence because the data is always there when we need it.”

As Vistaprint expands its use of AI to improve recommendations, enhance design workflows, and deliver more tailored customer interactions, these initiatives depend on reliable, high-quality data flowing into operational systems. Fivetran ensures governed data is continuously moved and activated through reverse ETL, so teams can work with consistent information directly inside their decision-making tools.

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New Global Report Finds Enterprises Hitting Agentic AI Inflection Point

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Rankpage Introduces Expanded AI-Driven SEO Offerings to Support Businesses of All Sizes Across Malaysia

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Research shows enterprises increasing investment while scaling cautiously until reliability can be proven in production

Dynatrace , the leading AI-powered observability platform, released The Pulse of Agentic AI 2026, an inaugural global study focused on how observability and reliability determine the successful operationalization of agentic AI. The survey of 919 senior global leaders responsible for agentic AI implementation reveals that enterprises are not stalling because they doubt AI, but because they cannot yet govern, validate, or safely scale autonomous systems.

A structural shift: reliability as the gating factor

The research found that approximately ~50% of projects are in Proof-of-Concept (POC) or pilot stage. Adoption is still early but growing rapidly with 26% of organizations having 11 or more projects. As organizations move beyond experimentation and into scaled deployment, they are increasingly seeking platforms that are reliable, trustworthy, and proven.

This shift is reflected in both ambition and execution, with 74% expecting budgets to rise again next year. These findings point to a structural inflection point where reliability, resilience, governance, and real-time insight define enterprise readiness for agentic AI.

Key findings from the report:

  • Almost half (48%) of the senior global leaders surveyed anticipate budget increases of at least $2M, suggesting investments are still prudent.
  • AI agents are most commonly deployed within IT operations and DevOps (72%), followed by software engineering (56%) and customer support (51%).
  • Of those surveyed, business leaders say improving decision-making with real-time insights is top priority (51%) when deploying agentic AI, followed closely by improving system performance and reliability (50%) and improving internal efficiency to reduce operational costs (50%).
  • The greatest ROI expected for agentic AI projects is in ITOps/system monitoring (44%), cybersecurity (27%) and data processing & reporting (25%).
  • The top two main barriers to agentic AI production at this time are security, privacy or compliance concerns (52%) and technical challenges to managing and monitoring agents at scale (51%), followed by shortage of skilled staff or training (44%).

Trust and human oversight

Organizations signal that human guidance remains a purposeful part of agentic AI strategy, even as they build toward greater autonomy. The report shows leaders expect a 50/50 human–AI collaboration for IT and routine customer-support applications and a 60/40 human–AI collaboration for business applications, signaling that human judgment guides the system by setting goals, defining boundaries, and ensuring accountability.

Additional findings include:

  • While over half (64%) of organizations deploy a mix of autonomous and human-supervised agents, 69% of agentic AI–powered decisions are still verified by humans, and 87% of organizations are actively building or deploying agents that require human supervision.
  • Only 13% of organizations use fully autonomous agents, and just 23% rely exclusively on human‑supervised agents.
  • The top validation methods include data quality checks (50%), human review of agent outputs (47%), and monitoring for drift or anomalies (41%).
  • 44% still use manual methods to review communication flows among AI agents, highlighting the need for more automated, governed oversight mechanisms. Autonomy.

“Organizations are not slowing adoption because they question the value of AI, but because scaling autonomous systems safely requires confidence that those systems will behave reliably and as intended in real-world conditions,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace. “With most enterprises now spending millions of dollars annually and planning further budget increases, agentic AI is becoming a core part of digital operations. At the same time, the data shows a clear shift underway. While human oversight remains essential , organizations are increasingly preparing for more autonomous, AI-driven decision-making. The focus is now on building the trust and operational reliability needed to scale agentic AI responsibly.”

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Observability enables trust and scale for Agentic AI

As organizations scale agentic AI beyond pilot projects, observability is the crucial intelligence layer that helps to build trust by providing visibility across every stage of the agentic AI lifecycle, from development and implementation through to operationalization. The report found that observability is already used across the entire lifecycle, with the highest adoption during implementation (69%), followed by operationalization (57%) and development (54%), underscoring its role as a foundational capability as agentic AI moves into production.

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Additionally, the report found:

  • Nearly 70% of organizations surveyed already use observability during agentic AI implementation to gain real-time visibility into agent behavior, system performance, and decision-making in production environments.
  • 50% use agentic AI for both internal and external use cases, 33% for internal purposes only, and 18% for external purposes only.
  • 50% have agentic AI projects in production for limited use cases, 44% have projects in broad adoption across select departments, and 23% have projects in mature, enterprise-wide integration.

“Observability is a vital component of a successful agentic AI strategy,” continued Reitbauer. “The Dynatrace AI Center of Excellence (AI CoE) works with many of our largest customers, and as organizations push toward greater autonomy, they need real-time visibility into how AI agents behave, interact, and make decisions. Observability not only helps teams understand performance and outcomes, but it provides the transparency and confidence required to scale agentic AI responsibly and with appropriate oversight.”

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CrafterCMS Announces New Cursor AI Skill That Accelerates Digital Experience Development

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MTS Staff Writer
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CrafterCMS Announces New Cursor AI Skill That Accelerates Digital Experience Development

New open-source AI skill converts HTML design templates quickly into a fully-managed website within minutes.

CrafterCMS, the enterprise-grade, Java-based headless CMS, announced the release of a new Cursor AI skill designed to dramatically accelerate CMS-managed digital experience development.

The new skill, available now via the CrafterCMS Marketplace and as an open source project on Github, enables developers to convert existing HTML website design templates into fully managed CrafterCMS projects in minutes using AI-assisted workflows inside Cursor.

Instead of spending days or weeks converting static templates into CMS-managed experiences, teams can now do it in minutes…”

— Mike Vertal, CEO of CrafterCMS

From Static HTML to Fully Managed Experiences Automatically

Modern digital teams often start with static HTML templates provided by design agencies, UI kits, or third-party marketplaces. Traditionally, transforming those templates into CMS-managed experiences requires significant manual effort that includes rewriting markup, wiring templates to content models, and integrating CMS APIs.

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The new CrafterCMS Cursor AI skill automates this process.

By leveraging AI directly inside the CrafterCMS environment, the skill analyzes raw HTML templates and “crafterizes” them: generating the structure, configuration, and integration needed to run as a fully managed CrafterCMS site backed by Git-based workflows.

“This release demonstrates how AI can dramatically improve developer productivity in real-world CMS projects,” said Mike Vertal, CEO of CrafterCMS. “Instead of spending days or weeks converting static templates into CMS-managed experiences, teams can now do it in minutes, directly within the user-friendly CrafterCMS authoring environment.”

Key Capabilities and Benefits

The CrafterCMS Cursor AI skill enables development teams to:

– Instantly Convert HTML Templates into CrafterCMS Projects: Transform static markup into CMS-managed site projects with content models, templates, and structure generated automatically.

– Accelerate Digital Experience Development: Reduce repetitive setup work and focus development effort on business logic, integrations, and experience design.

– Leverage AI Inside the Developer Workflow: Leverage Cursor with AI-assisted transformations instead of relying on external scripts or manual refactoring.

– Align with Modern DevContentOps Practices: Built on CrafterCMS’s Git-based content repository, enabling version control, CI/CD, and collaborative workflows from day one.

– Remain Fully Open and Extensible: The skill is available under the MIT open source license, allowing teams to inspect, extend, and customize the workflow to match their architecture and standards.

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Built for Real-World CMS and DXP Teams

Content authors and editors benefit as well, allowing them to independently and rapidly create, edit, and publish content for their website and all other digital experiences, without waiting on developers.

This release is especially valuable for content teams that are building, managing and optimizing:

– Marketing and enterprise websites

– Customer portals and employee intranets

– Customer-facing applications and digital experiences

– Multi-site and multi-channel CMS deployments

By bridging AI-powered development tools with a production-grade, Java headless CMS, the Cursor AI skill helps teams move faster without sacrificing governance, scalability, or maintainability.

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CloudOffix Partners with Bluefox SAS to Drive Smart Transformation for Businesses in Mauritius

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CloudOffix Partners with Bluefox SAS to Drive Smart Transformation for Businesses in Mauritius

CloudOffix and Bluefox SAS team up to reduce complexity, unify data, and make AI and digital transformation practical for real business environments.

CloudOffix, the AI-native unified front-office platform designed to simplify execution across modern business operations, announced a strategic partnership with Bluefox SAS to help organizations across Mauritius accelerate smart, sustainable transformation that strengthens business performance and enables reliable, practical use of AI.

CloudOffix is the platform of the future — a native AI platform designed to think, scale, and evolve with the client’s business.”
— Farha Jhumka, CEO of Bluefox SAS

As technology choices multiply and operational complexity grows, many organizations struggle to turn transformation plans into real outcomes. This partnership brings together CloudOffix’s unified platform approach with Bluefox SAS’s transformation practice to help companies move from fragmented tools and scattered data to a coherent operating model that teams can actually adopt, use, and scale. Together, CloudOffix and Bluefox SAS will support organizations in clarifying priorities, accelerating change with confidence, and building capability so transformation becomes a durable advantage rather than a constant project.

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Bluefox SAS was founded on a bold belief: transformation succeeds when organizations start from within. With the philosophy, “Every transformation begins within,” Bluefox SAS helps leaders and teams navigate complexity, build clarity, and co-create change that lasts. Bluefox SAS is guided by the values of Excellence, Integrity, and Respect, and works with organizations to craft tailored strategies that put real needs, values, and potential at the centre of every solution. The company’s vision is to be the trusted partner in driving transformative change, enabling organizations to unlock their full potential through solutions that are practical, measurable, and sustainable.

With CloudOffix, Bluefox SAS can now offer its customers in Mauritius a full transformation package on a single unified platform, covering the core front-office and operational domains organizations struggle to connect. This means Bluefox SAS can deliver end-to-end solutions across HR digitalisation, project and task management, CRM and sales execution, marketing operations, customer portals, and helpdesk and service management—without forcing clients to assemble separate tools or manage complex integration projects.

CloudOffix complements Bluefox SAS’ approach by providing the execution layer needed to make transformation real in day-to-day operations. While many organizations have made strong progress in the back office through ERP systems, the front office often remains split across disconnected apps for sales, service, marketing, projects, HR, and portals. This leads to duplicated work, inconsistent experiences, unclear ownership, and reporting that never quite matches reality. Most importantly, it weakens AI initiatives, because AI cannot produce reliable outcomes when operational data is scattered across separate tools and inconsistent workflows.

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Gokhan Erdoğdu, CEO of CloudOffix, said:
“ERP systems have done an excellent job standardizing the back office. But today, organizations are struggling around the ERP, in the front office, where work actually happens across sales, customer service, projects, HR, and marketing. These functions are often spread across different tools, which means data is scattered and workflows are disconnected. And when data is fragmented, AI cannot perform in a reliable way. CloudOffix is a great complement to ERP because we unify everything around it with one data model, one workflow engine, and one AI layer. That turns front-office execution into a connected system, so people can work faster, decisions become clearer, and AI becomes usable across real processes.”

Farha Jhumka, CEO of Bluefox SAS, said:
“CloudOffix is the platform of the future — a native AI platform designed to think, scale, and evolve with the client’s business. By bringing everything into one intelligent ecosystem, transformation takes on a new dimension, enabling organizations to move forward with real ROI.”

This partnership will focus on helping Mauritius-based organizations reduce complexity and increase speed-to-value by aligning transformation strategy with an operating platform that supports consistent execution. Bluefox SAS will guide organizations in treating transformation as a mindset, building internal capability, and positioning change as a catalyst for growth rather than disruption. CloudOffix will provide a unified environment where teams can run their front-office processes end-to-end, with consistent data and governance, enabling automation and AI to work across the organization in a practical way.

The outcome is a smarter, more sustainable approach to transformation: fewer disconnected systems, fewer manual handoffs, and fewer gaps between leadership intent and operational reality. Teams gain a clearer experience, leaders gain better visibility, and organizations gain a foundation where AI can deliver value without guesswork, because it is built on unified, trusted operational data. By partnering closely with clients, CloudOffix and Bluefox SAS will co-create solutions that fit real organizational needs and support adoption from day one, ensuring expectations are not only met, but exceeded.

Bluefox SAS’ mission is to empower organizations to embrace transformation as a mindset, position change as a true catalyst for growth, and turn transformation initiatives into success stories. That mission aligns closely with CloudOffix’s platform philosophy: unification is not an end goal that requires endless projects; it is the baseline that organizations should start with, so they can focus on outcomes, not assembly. Together, the companies aim to help organizations in Mauritius move forward with greater clarity, confidence, and capability, creating meaningful and lasting change that improves both business results and the day-to-day experience of people.

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Fivetran Selected by Vistaprint to Power Data Activation and Personalized Customer Experiences

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Fivetran Selected by Vistaprint to Power Data Activation and Personalized Customer Experiences

Vistaprint uses Fivetran to activate governed first-party data across advertising and owned channels, improving targeting efficiency, experimentation, and AI initiatives

Fivetran, the global leader in automated data movement, announced that Vistaprint, the design and marketing partner to millions of small businesses, has selected Fivetran to support its shift toward modern data activation and AI-ready customer experiences. With Fivetran powering secure, automated data pipelines and reverse ETL, Vistaprint is connecting governed first-party data directly into the tools its teams use every day across its marketing and customer engagement ecosystem.

Fivetran automates data movement from Vistaprint’s core systems into Snowflake and activates that governed data back into operational tools using reverse ETL.

Vistaprint relies on data to enhance personalization, optimize marketing performance, and streamline operations. The company uses AWS, Snowflake, and analytics tools like Statsig to understand how small businesses engage with its platform. As part of a multi-year modernization effort, Vistaprint has moved from on-premises systems to a cloud-first architecture and adopted a data mesh strategy that treats data as a trusted, shared resource across teams.

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“Vistaprint’s business is built on helping small businesses look professional and connect with customers, and data is central to that mission,” said George Fraser, CEO of Fivetran. “By using Fivetran to activate trusted first-party data across both paid and owned channels, Vistaprint can move faster, personalize experiences more effectively, and support AI-driven initiatives with confidence. We’re proud to support their evolution into a modern, data-driven organization.”

Fivetran automates data movement from Vistaprint’s core systems into Snowflake and activates that governed data back into operational tools using reverse ETL. In paid channels, Vistaprint uses reverse ETL to enrich platforms such as Google and Meta with first-party data, enabling more precise targeting and improved return on ad spend in programmatic advertising. This approach allows marketing teams to rely less on third-party signals and more on accurate, internally governed customer data.

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Reverse ETL also plays a critical role in Vistaprint’s owned-channel experimentation and optimization strategy. As part of an audience testing stack that includes Statsig, Iterable, and Contentful, reverse ETL is used to define and sync control and test groups across platforms. This ensures a single source of truth for audience eligibility, enabling consistent measurement of uplift across omnichannel campaigns and improving the reliability of experimentation results.

“Our marketing teams need fast access to trusted data in the platforms where campaigns are planned, launched, and optimized,” said Drew Forster, Director of Marketing Optimization at Vistaprint. “Fivetran makes that possible by activating data directly into our marketing and customer engagement tools. It has changed how quickly we can personalize campaigns, test new ideas, and support the AI initiatives we’re investing in. We’re moving faster and making decisions with more confidence because the data is always there when we need it.”

As Vistaprint expands its use of AI to improve recommendations, enhance design workflows, and deliver more tailored customer interactions, these initiatives depend on reliable, high-quality data flowing into operational systems. Fivetran ensures governed data is continuously moved and activated through reverse ETL, so teams can work with consistent information directly inside their decision-making tools.

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New Independent Study: 80% of Enterprises Plan to Increase DAM Investment as AI and Content Orchestration Reshape Digital Operations

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Reach Selects DeeperDive From Taboola, Gen AI Answer Engine Built for the Open Web, to Connect Readers with Timely, Contextual Answers for Topics They Care About

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Research commissioned by Orange Logic reveals DAM evolving from static storage to a strategic orchestration layer powering enterprise content ecosystems.

A new Opportunity Snapshot commissioned by Orange Logic, and conducted by Forrester Consulting, reveals that Digital Asset Management (DAM) is undergoing a fundamental transformation from being thought of as a passive content repository, to the orchestration layer of the modern content supply chain.

The study found that 80% of organizations surveyed plan to increase their DAM investment over the next two years, driven by escalating content demands, expanding distribution channels, and the imperative to integrate AI into content workflows at scale.

This increased investment reflects the demand for teams to produce more content, publish in more places, and manage more formats than ever. Leaders reported they expect DAM to help them improve customer experience, accelerate go-to-market efforts, and support the growth of AI workloads.

Enterprise leaders no longer view DAM as merely a place to store files. Instead, they’re leveraging it as the connective tissue that unifies people, assets, and systems across the entire content lifecycle. Thirty-one percent of respondents plan to use DAM to orchestrate workflows across disparate enterprise systems, including PIM, DXP, e-commerce platforms, and creative production tools, signaling a decisive move toward integrated, composable content operations.

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“This groundbreaking study confirms what we’re seeing across industries,” said Brian McLaughlin, CEO of Orange Logic. “Organizations need a platform that delivers enterprise-wide consistency while empowering teams with the flexibility to execute with velocity, one that supports real AI adoption, and helps them produce better work with less friction.”

While 67% of respondents expect their use of AI within DAM to grow over the next two years, driving improvements in intelligent search, automated asset creation, and informed storage optimization. Many organizations are still navigating how to operationalize AI across workflows in a responsible and effective way.

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The research shows that enterprises seeing real returns from AI treat it as infrastructure, not a collection of isolated features. Agentic, governed AI only works when it is anchored to a foundational DAM that defines what content is approved, how it can be used, and who it is for.

Without that foundation, AI struggles to move beyond experimentation. Outputs become inconsistent. Accuracy erodes. Brand and rights risk increase.

Teams that start with a centralized DAM give AI something reliable to act on, allowing automation, enrichment, and decision-making to scale and compound over time instead of breaking under growth.

Leaders with optimized DAM programs reported measurable improvements in digital operations, team efficiency, and time-to-market, validating the strategic role of content orchestration in enterprise performance.

To learn more about why leaders increasingly view DAM as foundational to the AI-powered content supply chain, read the full Forrester Consulting study, available from Orange Logic.

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Dialpad and TD SYNNEX Partner to Bring Agentic AI Communications to Global Markets

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Dialpad and TD SYNNEX Partner to Bring Agentic AI Communications to Global Markets

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Partnership expands Dialpad’s AI-first communications platform to TD SYNNEX’s global network of technology partners, unlocking new opportunities for AI-powered customer and team engagement.

Dialpad, the leading AI-powered business communications and agentic platform, announced a new global distribution partnership with TD SYNNEX, a leading global technology solutions aggregator and distributor. The partnership expands Dialpad’s reach to TD SYNNEX’s international portfolio of trusted technology partners, enabling them to offer Dialpad’s unified communications (UCaaS), contact center (CCaaS), and Agentic AI solutions to businesses around the world.

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“Dialpad’s AI-first innovation and proven leadership in agentic communications perfectly align with our mission to empower partners with best-in-class technology solutions.” Cheryl Neal, Vice President of New Vendor Acquisition at TD SYNNEX

Through this collaboration, TD SYNNEX partners will gain access to Dialpad’s AI-first communications platform, purpose-built to simplify how organizations connect, collaborate, and serve customers. With Dialpad’s Agentic AI, partners can help their clients automate repetitive tasks, enhance live interactions with real-time intelligence, and improve performance through AI-driven insights.

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“Partnering with TD SYNNEX allows us to rapidly extend the power of Agentic AI to partners and businesses in new markets,” said Dana Dempsey, RVP, Partner Sales at Dialpad. “TD SYNNEX has long been at the center of the technology ecosystem, helping partners deliver transformational solutions to their customers. Together, we’re making it easier for organizations everywhere to modernize their communications stack and elevate every customer interaction through AI.”

The partnership will strengthen Dialpad’s ability to scale globally by leveraging TD SYNNEX’s extensive partner ecosystem and enablement capabilities. TD SYNNEX will integrate Dialpad’s AI-powered solutions into its edge-to-cloud offerings, allowing partners to deliver unified, secure, and intelligent communication experiences to their customers.

“We’re excited to welcome Dialpad to the TD SYNNEX portfolio,” said Cheryl Neal, Vice President of New Vendor Acquisition at TD SYNNEX. “Dialpad’s AI-first innovation and proven leadership in agentic communications perfectly align with our mission to empower partners with best-in-class technology solutions. This partnership creates new opportunities for our partners to deliver business value through AI-enhanced communications.”

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CallFinder Unveils Targeted Microlearning Video Training for Contact Center Teams through Collaboration with BenchmarkPortal

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CallFinder Unveils Targeted Microlearning Video Training for Contact Center Teams through Collaboration with BenchmarkPortal

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CallFinder, a purpose-built automated quality assurance (QA) and coaching platform for contact centers, announced a collaboration with BenchmarkPortal that will make BenchmarkPortal’s Call Center Learning Channel+ short-form training video content available to CallFinder clients. CallFinder helps contact center leaders automate manual QA and turn customer conversations into actionable insights, so teams can spend more time coaching and improving performance.

“contact centers need training that’s agile, relevant, and designed for how people learn.”

BenchmarkPortal’s Learning Channel+ is a subscription-based microlearning library built for contact center agent training and coaching, featuring 50+ workplace-friendly videos in approximately five-minute lengths, to help teams maximize adoption and impact.

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“CallFinder’s mission is to help contact center leaders eliminate costly blind spots, and improve performance with complete visibility, and timely insights. The value of all that robust data is only fully realized when coaching follows quickly,” said Laura Noonan, Chief Revenue Officer at CallFinder. “By making BenchmarkPortal’s high quality and high impact microlearning videos available to our clients, we’re helping contact center leaders seamlessly align the agent performance metrics with practical, digestible coaching content that relates directly to those behaviors and habits. We are excited for this collaboration and bringing BenchmarkPortal’s expert content to our clients.”

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“Contact center training sticks when it’s timely, specific, and easy to reinforce,” said Sam Petersen, Senior Client Services Manager at CallFinder. “This is a perfect collaboration because it gives our clients relevant and high-quality coaching material to enact on the insights and metrics that we provide on each contact center team member. Our platform already allows for feedback to the agents but, now we have short form content that can go along with that and help them improve quickly and effectively.”

“contact centers need training that’s agile, relevant, and designed for how people learn,” said Bruce Belfiore, CEO and Senior Research Executive of BenchmarkPortal. “Learning Channel+ was created to help organizations build stronger agent soft skills through short, focused lessons, and we’re pleased to collaborate with CallFinder to broaden access for teams looking to improve quality and customer experience.”

Availability details, including how CallFinder clients can access Learning Channel+ resources, will be shared directly with eligible customers.

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Bombora Partners with Proximic By Comscore to Create New B2B Predictive Audiences

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DeepAI is partnering with TruthScan to provide AI image detection to DeepAI users

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Bombora-Powered Segments Enable Precise, AI-driven Contextual Targeting Across Primary Digital Channels.

Bombora, the pioneer in B2B data, announced that Proximic by Comscore’s Predictive Audiences now includes 300 new contextual audiences built based on Bombora’s proprietary B2B data. This partnership reflects the unique and central role Bombora plays in unlocking the value of the B2B ecosystem for all stakeholders.

Advertisers now have access to 300 new Proximic by Comscore Predictive Audiences: B2B contextual segments powered by the integration of Bombora’s proprietary B2B data and Proximic by Comscore’s predictive AI technology. This partnership enables sophisticated contextual targeting mapped to essential B2B attributes, such as industry, job function, professional group, and install data. By leveraging these segments, brands can strategically place messaging in media environments tailored to the editorial interests of B2B decision-makers — extending reach, driving relevance, and elevating campaign performance.

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Advertisers can seamlessly activate these segments through The Trade Desk’s Contextual Marketplace or via portable Deal IDs through Microsoft Monetize (formerly known as Xandr SSP), enabling access to major programmatic platforms including DV360, Yahoo DSP, and Adobe.

“Our partnership with Proximic by Comscore is another demonstration of our commitment to giving advertisers seamless access to Bombora’s proprietary B2B data to enable sophisticated advertising strategies,” said Mike Burton, Co-Founder and EVP of Strategic Partnerships at Bombora. “Uniting our unique data assets with Proximic’s predictive technology, empowers brands to reach their ideal professional audiences using a diversity of strategies, including contextual editorial placements, at scale.”

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“We are proud to launch these 300 new Predictive Audiences in partnership with Bombora,” said Jessica Trainor, Head of Partnerships at Proximic by Comscore. “Combining our AI-powered predictive signals with Bombora’s market-leading data and robust multi-identifier infrastructure, creates highly specialized segments that help maximize addressability and drive results in a complex digital landscape.”

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Vertafore Expands AI Capabilities in Surefyre to Save Hours During Program Submissions

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Vertafore Expands AI Capabilities in Surefyre to Save Hours During Program Submissions

PDF-to-web form automation eliminates manual work and accelerates speed-to-market for MGAs and wholesalers

Vertafore, the leader in insurance technology, has introduced new artificial intelligence capabilities in Surefyre™  that allow program administrators to automatically convert PDF submission forms into web applications.

The latest AI-backed feature in Vertafore’s low-code agent portal and underwriting workbench for MGAs streamlines a time-consuming step in new program setups, transforming a manual process with the click of a button.

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Surefyre uses AI to identify submission fields in a PDF and create a digital form in minutes. Previously, administrators could spend up to four hours manually creating web applications for new programs. That time savings makes it faster for MGAs and wholesalers to bring new programs to market, while reducing the potential for errors from manual data entry and giving teams more time to focus on higher-value work.

“We’re innovating with AI in Surefyre with a clear purpose: to remove friction from the work MGAs do every day,” said Emily McGinn, general manager of MGA and wholesale at Vertafore. “By using AI to automate one of the most manual steps in program setup, Surefyre helps MGAs move faster, create a great experience for their agency partners, and focus on the growth activities that truly accelerate their business.”

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This latest innovation reflects Vertafore’s practical approach to AI by embedding automation directly into real workflows to eliminate low-value manual work and simplify complex processes. Later this year in Surefyre, Vertafore plans to introduce a natural-language summary to highlight changes to an application for endorsements or renewals, as well as AI-powered ingestion of unstructured submissions data.

With 80,000+ users and 60 integrations, MGAs and wholesalers trust Surefyre to drive their business. That trust is reinforced by two recent recognitions for Surefyre: Product of the Year from the BIG Awards for Business and Finalist for Best B2B Customer Strategy in the 2025–2026 Cloud Awards.

“As a global benchmark for excellence in cloud computing, the program recognizes organizations like Vertafore that are driving the industry forward through innovation and excellence,” said James Williams, CEO of The Cloud Awards.

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Salt Security Expands “Universal Visibility” with Specialized API Security for Databricks and Rapid Edge Support for Netlify

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Salt Security Expands "Universal Visibility" with Specialized API Security for Databricks and Rapid Edge Support for Netlify

New capabilities extend Salt’s discovery engine into the Agentic AI Action Layer and modern composable web architectures, providing the only dedicated API security visibility for Databricks agentic workloads.

Salt Security, the leader in API security and AI governance, announced a major expansion of its platform’s connectivity fabric with two new strategic integrations: the Salt Databricks Connector and the Salt Netlify Collector. These additions reinforce Salt’s “Universal Visibility” strategy, ensuring that security teams can capture deep API context from every corner of the enterprise, whether it’s a legacy on-premise server, a modern edge deployment, or the rapidly evolving Agentic AI Action Layer.

Securing the Agentic AI Action Layer at the Source. As enterprises rush to build Agentic AI, platforms like Databricks have become the operating system for AI workloads. While generalist security tools (CNAPPs) can scan Databricks infrastructure for misconfigurations, they remain blind to the actual behavior of the AI agents running inside.

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The new Salt Databricks Connector bridges this gap, providing a dedicated API security discovery engine for Databricks environments. It specifically targets the “Agentic Action Layer,” identifying the Model Context Protocol (MCP) servers and AI agents that connect proprietary data models to the outside world.

  • Ease of Use: Connects in minutes without complex instrumentation or manual configuration.
  • Action-Layer Visibility: Instantly maps which APIs and data sources internal AI agents are accessing—visibility that infrastructure scanners miss.
  • Unified Governance: Allows teams to apply the same rigorous security policies to their AI workloads as they do to their traditional APIs.

“Databricks is where the enterprise brain lives, but until now, we have not been able to see what the hands, the AI agents, are actually touching,” said Eric Schwake, Cybersecurity Director at Salt Security. “Generalist tools can tell you if your S3 bucket is open, but only Salt can tell you if an AI agent inside Databricks is actively leaking PII through an unmonitored API. We are turning the lights on in the agentic action layer.”

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Rapid Support for the Modern Edge. Alongside AI visibility, Salt is addressing the fragmentation of modern web architectures. The new Salt Netlify Collector brings feature-parity traffic collection to decoupled frontend applications and Jamstack architectures.

Built to support major enterprise deployments, this collector demonstrates Salt’s agility and ability to rapidly build and deploy collectors as the market evolves. As organizations decouple their frontends and push logic to the edge, standard gateways are often bypassed. Salt ensures security travels with the code.

  • Universal Reach: Extends Salt’s best-in-class traffic analysis to Netlify’s edge network.
  • Rapid Adaptation: Showcases Salt’s flexible architecture, allowing the platform to support modern Content Delivery Networks (CDNs) and edge runtimes as fast as developers adopt them.

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Partnerize Brings VantagePoint™ to Publishers to Quantify and Monetize Influence Beyond the Click

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Partnerize Brings VantagePoint™ to Publishers to Quantify and Monetize Influence Beyond the Click

New charter program quantifies publisher authority across AI-mediated discovery and zero-click conversions to establish a new standard for visibility and value

Partnerize, the leader in partnership automation and measurement, announced VantagePoint™ for Publishers, extending its already category-defining Generative AI conversion attribution solution to address one of the most urgent challenges facing media companies: proving and monetizing influence in AI-driven, zero-click consumer journeys.

As AI becomes the forcing function collapsing traditional click paths, Partnerize is establishing the new economic infrastructure for the machine-mediated market.”
— Matt Gilbert, CEO of Partnerize

The announcement builds on Partnerize’s October launch of VantagePoint™, the first independent attribution solution designed for the machine-mediated market, where AI assistants, large language models, and algorithmic discovery increasingly shape purchasing decisions without a traditional click.

VantagePoint™ for Publishers was unveiled publicly during an on-stage announcement at Affiliate Summit West and is now available in limited release.

In the same week, Partnerize won two awards at the ASW-hosted 2026 Partnership Week Awards: Best Use of AI Implementation and Best New Partnership Technology.

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As AI-driven discovery collapses the click path, publishers are facing a growing disconnect between the value their content creates and the revenue they can measure, defend, or recover. Trusted journalism, reviews, and editorial guidance continue to influence consumer decisions, but that influence is increasingly invisible to legacy attribution models built for a click-based internet.

VantagePoint™ for Publishers addresses this gap by giving media companies independent, auditable visibility into how their content influences AI-mediated discovery and downstream conversions, even when no referral traffic exists. The solution accounts for the shortcomings of legacy last-click attribution models with a standardized framework designed to surface uncredited influence, quantify zero-click revenue loss, and restore publishers’ negotiating power with advertisers.

“As AI becomes the forcing function collapsing traditional click paths, Partnerize is establishing the new economic infrastructure for the machine-mediated market,” said Matt Gilbert, CEO of Partnerize. “With VantagePoint™ for Publishers, we are making influence visible as attribution shifts from deterministic clicks to probabilistic, journey-driven signals, defining the standard for how value is quantified and monetized in an AI-first world. We are ensuring that the publishers powering discovery have the data-driven leverage to lead and thrive in the next era of affiliate marketing.”

Charter participants include Vox Media and BuzzFeed, with additional market leaders in the process of onboarding. This program is reserved for large, multi-brand media organizations whose editorial and commerce content meaningfully shape purchasing decisions, but whose authority has been decoupled from traditional attribution by AI-mediated journeys.

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“AI-mediated discovery has already greatly impacted how audiences encounter and act on content,” said Camilla Cho, SVP and Head of Commerce and Affiliate, Vox Media. “Even as referral traffic declines, influence hasn’t disappeared; it’s just become harder to see. Publishers need better ways to understand when and how their journalism shapes decisions across these new journeys. Solutions and systems that help surface that influence and enable equitable compensation are an important step toward protecting the value of high-quality content in an evolving ecosystem.”

“As AI increasingly shapes how people discover and evaluate products, it has become harder for publishers to measure and receive credit for the value their content creates along the way,” said Becca Maier, VP of Commerce, BuzzFeed. “We’re excited to pilot a cost-per-influence model with Partnerize and VantagePoint™, because it finally offers a way to quantify the real value our content has in a zero-click world. This is the kind of independent, transparent measurement publishers need to protect their value and evolve how we work with advertisers.”

“At HubSpot, our priority is making sure partners are compensated for the actual value they create, not just where attribution happens to land,” said Nancy Mai Harnett, Head of Global Growth Partnerships, HubSpot. “We’re actively exploring new ways to measure partner influence across increasingly indirect journeys, and the data we’re seeing is helping us rethink our entire approach to budgeting and partner commissioning. Understanding where influence really happens is critical as we evolve our programs for how decisions actually get made today.”

VantagePoint™ for Publishers is built with enterprise-grade governance, transparency, and auditability, enabling publishers to defend their value in commercial negotiations, resolve attribution disputes, and establish a new baseline for how influence is measured in an AI-driven ecosystem.

In conjunction with today’s launch, Partnerize is proud to announce that the VantagePoint Fractional Commission Standard™ (VPFCS) has officially completed its rigorous independent validation and received formal certification from the Alliance for Audited Media (AAM).

This certification validates the integrity of VantagePoint™’s multi-factor framework and its advanced attribution algorithm, which quantifies the contribution of publisher sources within AI overviews and links them directly to downstream conversions. Partnerize is the first platform to offer a certified, auditable link between commission-rate advertising dollars and contextual influence.

“AI summaries and zero-click search are significant attribution challenges for the media industry,” said Rich Murphy, CEO of AAM. “We congratulate Partnerize for developing a solution to identify, capture, and quantify publishers’ contributions to the conversion process and subjecting their solution to a rigorous, third-party AAM review.”

With the AAM certification now finalized, VantagePoint™ provides publishers and brands with the verified transparency required to defend and monetize content value in a zero-click, AI-driven ecosystem.

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Neusoft and Cerence AI Sign Strategic Cooperation Agreement to Deliver an AI-Powered Automotive Cockpit Platform

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Neusoft and Cerence AI Sign Strategic Cooperation Agreement to Deliver an AI-Powered Automotive Cockpit Platform

Neusoft Corporation, an industry-leading information technology, products and solutions company, and Cerence AI, a global leader pioneering conversational AI-powered user experiences, signed a Memorandum of Understanding to collaborate in the cutting–edge field of large language model-based voice AI. Through joint innovation and ecosystem integration, the two companies will work together to deliver pre–integrated, scenario–driven, intelligent interaction solutions for automotive partners worldwide.

As automotive technology continues to evolve toward greater intelligence and more natural engagement, user expectations for in–cabin interaction are rising. Drivers and passengers now seek more than basic voice responses—they want a companion that understands natural language, communicates smoothly, and resonates emotionally. The partnership between Neusoft and Cerence AI is designed to meet this rising demand, establishing humanlike intelligent interaction as the new standard for smart vehicles.

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Through this collaboration, Neusoft will leverage its advanced intelligent cockpit software platform (NAGIC) as the core foundation, deeply integrating Cerence AI’s expertise in conversational AI, generative AI, and large language models. Together, the companies will explore innovative applications of intelligent voice interaction.

By combining Neusoft’s extensive global product development and delivery network with Cerence AI’s technological strengths and leadership in automotive, the two companies will jointly expand into global target markets.

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Looking ahead, Neusoft will continue to uphold its philosophy of “open collaboration and shared ecosystem success”, working closely with more leading technology partners amid the accelerating trends of automotive intelligence and AI. Together, Neusoft and Cerence AI aim to help automakers break through market challenges and deliver safer, more natural and intelligent mobility experiences to users around the world.

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Epidemic Sound Updates Its AI-Powered Soundtracking Assistant and Creative Collaborator to Accelerate Human Creativity

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Epidemic Sound Updates Its AI-Powered Soundtracking Assistant and Creative Collaborator to Accelerate Human Creativity

  • Epidemic Sound’s creative collaborator, Assistant, makes the process of finding the perfect music and sound effects for content faster and more intuitive

  • Assistant has been updated to include prompt examples, a track mini player, Epidemic Sound’s `Find Similar’ technology, and a search history for creators

  • The new features build on the tool’s core functionality of intuitive conversational search for music and sound effects

Epidemic Sound, the world’s leading soundtracking platform powering over 3 billion video views daily across TikTok and YouTube, announced significant updates to its AI-powered Assistant, further cementing its position as a key tool for creators and brands looking to efficiently score their content. These new features are designed to enhance the soundtracking workflow, making the process of finding the perfect music and sound effects faster and more intuitive.

Assistant’s expanded functionality now makes it easier than ever for creators to get started and refine their searches. The tool now features prompt examples to guide users on how to best utilize Assistant for finding music, sound effects, and exploring different creative directions.

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To accelerate the decision-making process, a mini player is now integrated into the track results, allowing users to quickly listen to audio, assess the waveform, find relevant sections, and make fast soundtracking choices. Epidemic Sound’s `Find Similar’ technology has also been integrated – powering users with an instant way to discover alternative tracks with a similar vibe – as well as a history section – enabling creators to save time by revisiting and re-using previous searches and prompts.

“The new updates to Assistant are a direct response to creator feedback and focus entirely on making the soundtracking process even more effortless and effective,” said Epidemic Sound Chief Product Officer, Sam Hall. “We are constantly evolving our AI capabilities, but our core philosophy remains unchanged: AI should enhance human creativity, not replace it. Assistant acts as a creative collaborator, understanding nuanced intent and accelerating the journey from idea to final soundtrack. These latest features are all about giving creators more control and a more integrated workflow.”

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The news follows the launch of Epidemic Sound’s AI-powered, instant soundtracking workflow, Studio, as well as the music customization feature, Adapt, which expanded artist remuneration through an additional bonus pool while powering creators with the ability to easily edit, shape, and customize music for their content.

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

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