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Elastic Eliminates the SOAR Automation Tax with Native Workflows

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CloudWave rebrands to NeonNow as it launches partner-led AI CX platform across 170 markets

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Elastic Workflows brings native automation directly into Elastic Security with no separate SOAR tool required

Elastic , the Search AI Company, announced that Elastic Workflows, a native automation capability with direct access to alerts, cases, and investigation data, is now built directly into Elastic Security. By bringing native automation to the agentic security operations platform that already includes unified SIEM and XDR, Elastic is eliminating the “SOAR automation tax” by removing the need for a separate SOAR to turn insights into action.

Traditionally, security teams have relied on a standalone SOAR to automate investigation and response. This adds complexity, requiring extra vendors, integrations, and ongoing maintenance. In a security landscape where adversaries are using AI to execute attacks in minutes, organizations can no longer rely on a response workflow stitched together across several vendors. Elastic Workflows embeds automation directly within Elastic Security, giving teams the ability to act on alerts and security data quickly, all without the need for additional tools or extra add-ons.

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“Using Workflows enabled our SOC to spend so much more time on the things that matter. On a daily basis, we ran through 500 alerts, spending 3 hours creating cases and enriching them manually. Using Workflows, this is all done automatically, saving up to 2.5 hours a day.” – SOC leader, European government agency.

“If you’re not using AI to fight AI, you’re already behind, and if you’re still relying on separate SOAR tools, you’re even further,” said Mike Nichols, general manager, Security at Elastic. “Elastic Workflows brings AI-driven automation directly to where data lives with no extra tools or integration overhead.”

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Elastic Workflows allows analysts to execute scripted playbooks for consistent, repeatable responses alongside AI agents that reason through complex investigations. A single Workflow combines scripted automation with AI reasoning, helping teams respond effectively when an investigation doesn’t match a known pattern.

Built on the proven Elasticsearch Platform

Workflows gets its agentic capabilities through integration with Agent Builder, a native feature of Elasticsearch designed for building custom AI agents. Because Elastic Security is built on the Elasticsearch data and AI platform, agents reason with superior context, delivering more accurate results.

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Zeta Marketing Platform Named a Leader in Analyst Report on Email Marketing Service Providers, Q1 2026

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Zeta Marketing Platform Named a Leader in Analyst Report on Email Marketing Service Providers, Q1 2026

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Received the highest Strategy score among all evaluated vendors and the highest possible scores in 11 criteria, including AI Approach, Vision, and Innovation

Zeta Global , the AI Marketing Cloud, announced that the Zeta Marketing Platform has been recognized as a leader in The Forrester Wave™: Email Marketing Service Providers, Q1 2026. The platform, which unifies identity, intelligence, and activation to deliver better experiences for consumers and better results for brands, received the highest score of any evaluated vendor in the Strategy category and the highest possible score (5.0) in 11 criteria.

As enterprises replace legacy martech stacks with AI-driven platforms, marketers are demanding solutions that simplify execution and improve business performance. Zeta sees this recognition as a reflection of its long-term investment in a platform purpose-built to reduce complexity, sharpen personalization, and accelerate business growth.

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With AI embedded at its core, the Zeta Marketing Platform integrates identity resolution, customer data management, predictive intelligence, and omnichannel activation into a single connected system. Forrester’s evaluation noted that “Zeta’s approach to AI, data management, and data governance stand out.”

“The era of fragmented martech is over,” said David A. Steinberg, Co-Founder, Chairman, and CEO of Zeta Global. “In the AI era, marketers need a single system that knows their customers, predicts what’s next, and proves its impact without requiring an army of specialists to operate it. That’s what we’ve built. We’re proud that Forrester has recognized us among top vendors in the market.”

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The Zeta Marketing Platform achieved the highest possible scores in 11 criteria, including Identity Resolution, Data Management, Data Governance, Skills Improvement, AI Approach and Perspective, Regulatory Compliance, Agency Services, Vision, Innovation, Roadmap, and Partner Ecosystem.

Forrester’s report also noted that Zeta “will work well for marketers of all industries and capability levels, particularly those who want to maximize their customer insights by experimenting with AI” and that customers specifically praise Zeta’s accessibility.

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DFI Retail Partners with SymphonyAI to Drive AI-Driven Merchandising Capabilities

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DFI Retail Partners with SymphonyAI to Drive AI-Driven Merchandising Capabilities

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Leading Asian retailer aims to strengthen its merchandise planning foundation with unified, data-driven retail intelligence

DFI Retail, a leading Asian retailer has launched a pilot with SymphonyAI, a global leader in Vertical AI platforms, to evaluate advanced retail intelligence capabilities designed to enhance enterprise merchandise planning. The initiative reflects DFI’s disciplined, customer-first approach to assessing how next-generation retail insights can support better decisions across promotions, assortment, clustering, and space planning.

“DFI is committed to strengthening our data foundation to enable faster, more consistent merchandising decisions that improve quality and value for customers across Asia.” — Crystal Chan, Group Chief Technology and Information Officer, DFI Retail Group

As competition intensifies and customer expectations evolve, DFI is investing in a proven and scaled AI solution that aims to strengthen retail fundamentals, improve process efficiency, and support more agile merchandising decisions.

Crystal Chan, Group Chief Technology and Information Officer, DFI Retail Group said,“This strategic initiative with SymphonyAI reflects DFI’s commitment to improve our core data foundation and technology solutions for our team members. We aim to make better and faster merchandising decisions to continuously improve quality and value for our customers across Asia, all enabled by AI.”

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Exploring Next-Generation Retail Intelligence

Retailers around the world are embracing technologies that help turn disparate data into unified insight, enhancing planning, responsiveness, and operational clarity. DFI’s initiative embodies this broader industry evolution toward connected retail intelligence — where data, planning, and execution insights coalesce to inform decision pathways and support retailer priorities.

Why DFI Selected SymphonyAI’s Retail Platform for Evaluation

DFI’s decision to work with SymphonyAI reflects the alignment between DFI’s future performance aspirations and the platform’s retail specialization, unified data and architecture, and proven presence in enterprise retail environments.

“Leading retailers are investing in connected, data-centric platforms that help align planning and execution while strengthening decision confidence,” said Manish Choudhary, President, SymphonyAI Retail. “Our retail platform is designed to support customers as they evaluate advanced intelligence capabilities in real operating conditions and build foundations for longer-term transformation.”

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Retail Impact Context

The importance of investments like DFI’s is underscored by findings from SymphonyAI’s Economic Impact of Vertical AI research, which highlights the scale of opportunity when retail planning and execution are informed by domain-specific intelligence. That study estimates up to $54 billion in annual economic impact in the retail and grocery sector alone, driven by optimized promotion planning, assortment & personalization, and inventory management.

In documented customer examples, Vertical AI platforms have helped global grocery and enterprise retail organizations achieve measurable results such as multi-million-dollar profit improvements, significant sales lift, and more efficient cross-functional coordination — showing what’s possible as retailers bring connected insight to core operational decisions.

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March Networks and VIVOTEK Merge Branded Video Security Businesses to Deliver Greater Scale and Expanded Portfolio

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March Networks and VIVOTEK Merge Branded Video Security Businesses to Deliver Greater Scale and Expanded Portfolio

Vision and Intelligence. Aligned.

March Networks, a global leader in intelligent video surveillance and business intelligence, and VIVOTEK, a leading global provider of IP cameras and cloud video solutions, jointly announced the merger of VIVOTEK’s branded business (OBM) with March Networks to deliver greater scale and a stronger, end-to-end video security portfolio spanning cloud, hybrid, and on-premise video surveillance environments.

Together, the two companies combine complementary strengths in enterprise video management, AI-powered analytics, advanced cameras, and cloud services to accelerate innovation and expand their global security ecosystem.

Following the closing, which is expected in mid-April, the combined organization will be led by Peter Strom, President and CEO of March Networks.

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“This integration is about driving greater scale and accelerating long-term growth,” said Strom. “By bringing together two market leaders with highly complementary strengths, we are expanding our capabilities and creating new opportunities to deliver more value to our customers and partners. March Networks’ leadership in enterprise video management, analytics, and business intelligence combines with VIVOTEK’s camera innovation, AI capabilities, and direct-to-cloud video technologies to deliver a more powerful, end-to-end portfolio. Together, we are better positioned to help our partners grow and enable their customers to operate more securely and efficiently.”

For customers and partners, the merger expands the available solution portfolio while maintaining the same trusted brands, support teams, and technology platforms they rely on today.

VIVOTEK’s manufacturing (ODM) business will continue to operate independently, while its branded business (OBM) combines with March Networks.

Stronger Together

March Networks is known for the most scalable, reliable, and secure enterprise video solutions used by the world’s largest banks, retailers, transit agencies, and other commercial customers. VIVOTEK is recognized for its broad portfolio of NDAA-compliant IP cameras, leading AI analytics, and VORTEX, its direct-to-cloud video solution, designed for simplified deployment and cloud video management.

Together, the combined organization significantly expands its global scale and innovation capacity, including:

  • Operations across six continents and more than 70 countries, with expected annual revenue of over $200 million USD
  • More than 300 engineers in R&D across four Centers of Excellence in Ottawa, Taipei, Poland, and Italy
  • An expansive network of more than 1,100 certified channel partners worldwide

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“This is a seamless transition for our customers and partners. They will continue working with the same teams they know and trust, while benefiting from greater scale, more choice, and broader global coverage,” said Net Payne, Chief Sales and Marketing Officer. “Whether you’re an existing technology partner, part of our channel ecosystem, or an end customer using our products, we remain committed to delivering the value you have come to expect from each company.”

The combination will take effect following Delta Electronics’ purchase of the remaining VIVOTEK shares it does not already own, which is expected to be completed in mid-April.

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BeyondID and Nexera Announce Strategic Partnership to Deliver Secure, Production-Ready AI for the Enterprise

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BeyondID and Nexera Announce Strategic Partnership to Deliver Secure, Production-Ready AI for the Enterprise

Joint offerings combine AI intelligence and identity governance to help organizations deploy AI that is intelligent, secure, compliant, and operationally resilient from day one

BeyondID, a leading AI-powered Managed Identity Solutions Provider (MISP) and KeyData Cyber Family Company, and Nexera, a leading provider of production-grade AI systems and managed operations, announced a strategic partnership to help organizations accelerate AI adoption without sacrificing security, compliance, or control.

As enterprises rapidly deploy AI platforms, such as Anthropic, Microsoft Copilot, Google Gemini, and OpenAI, they often lack the foundational identity governance required to operate AI safely at scale. Non-human identities (NHIs) such as AI agents, automated workflows, and service accounts represent a growing and largely unmanaged attack surface. Without proper governance, organizations face significant compliance, operational, and security risk.

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The BeyondID and Nexera partnership directly addresses this gap. Nexera brings the Intelligence Layer, designing, building, and operating production AI systems from strategy through managed operations. BeyondID secures the Identity and Trust Layer, governing every AI agent, model, and workflow with identity-first architecture, least-privileged access, and continuous monitoring.

“Enterprises are under enormous pressure to deploy AI quickly, but speed without governance is a liability,” said Arun Shrestha, Founder of BeyondID. “Nexera builds intelligent AI systems while BeyondID ensures every AI agent, model, and workflow is securely identified, governed, and monitored. Now, organizations no longer have to choose between moving fast and staying secure.”

The partnership introduces four integrated go-to-market offerings designed to take enterprises from AI strategy to secure, scalable production deployment:

AI Identity Readiness Sprint (30–45 Days): A rapid assessment that covers AI use cases, platform evaluation, identity and access risk, governance blueprint, and a 90-day execution roadmap.

90-Day Secure Agent Launch: Production-grade AI agent deployment with identity architecture embedded at the build stage, including access controls, secrets management, monitoring, and compliance validation with measurable ROI.

Enterprise AI Platform Hardening: Secure rollout for Anthropic, Microsoft Copilot, Google Gemini, and OpenAI deployments, including shadow AI detection, AI privilege tiering, data segmentation, and regulatory alignment.

AI Operations + Identity Monitoring (Managed): Ongoing managed services covering drift and model monitoring, identity anomaly detection, agent access recertification, and continuous governance optimization.

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Unlike large systems integrators that offer AI strategy without deep identity specialization, BeyondID and Nexera deliver an integrated, execution-focused model. Engagements move from strategy to production in 90 days. Identity governance is embedded at the architecture stage, not bolted on afterward. And both companies offer ongoing managed services — meaning clients receive continuous AI and identity operations support, not one-time project delivery.

“AI is only as powerful as the trust placed in it,” said Tom Wisnowski, CEO at Nexera. “With BeyondID, we can now offer our clients the full stack, from intelligent systems to the identity infrastructure that makes those systems safe to operate at enterprise scale.”

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Banzai Reaches Deal to Acquire Assets of ConnectAndSell, a Profitable Company, More Than Doubling Annual Revenue and Expanding AI Platform Capabilities

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Banzai Reaches Deal to Acquire Assets of ConnectAndSell, a Profitable Company, More Than Doubling Annual Revenue and Expanding AI Platform Capabilities

ConnectAndSell is a Leading AI Sales Acceleration Platform Serving B2B Organizations Across Healthcare, Financial Services & Technology Industries

Proposed Acquisition Strengthens Banzai’s Marketing and Sales Software Platform with Established Revenue-Generating Business

Banzai International, a leading AI marketing technology company, announced that it has reached an agreement on terms to acquire assets of ConnectAndSell, Inc. (“ConnectandSell”), an AI-powered sales enablement platform serving B2B organizations across financial services, healthcare, technology, and other industries. The acquisition is expected to increase Banzai’s annual revenue by approximately $15 million. The two companies have executed a non-binding letter of intent, and the final transaction is expected to close in early Q2 2026, subject to execution of a definitive agreement and closing conditions.

ConnectAndSell’s AI-powered platform is designed to improve seller productivity by helping sales teams spend more time in live conversations with qualified decision-makers. The proposed acquisition would add sales acceleration capabilities to Banzai’s platform and expand the Company’s ability to support customers across a broader portion of the revenue generation process.

Banzai believes the addition of ConnectAndSell would strengthen its position as a provider of integrated marketing and sales technology solutions while creating meaningful cross-sell opportunities across both companies’ customer bases. The transaction would also further Banzai’s strategy of building a broader platform of practical, revenue-generating software solutions.

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“ConnectAndSell has a highly complementary sales acceleration capability,” said Joe Davy, Founder and CEO of Banzai. “We believe the proposed acquisition aligns well with our strategy of acquiring proven AI-powered business solutions. This transaction would expand Banzai’s platform across more of the go-to-market process and create additional opportunities for customer expansion across our platform.”

Financial and Strategic Benefits

  • Expands Platform Capabilities: The proposed acquisition would add sales acceleration functionality to Banzai’s platform, broadening its reach across the go-to-market workflow.
  • Enhances Revenue Generation Offering: ConnectAndSell would extend Banzai’s ability to support customers from audience engagement and demand generation through sales execution and conversion.
  • Creates Cross-Sell Opportunities: Banzai sees the potential to introduce ConnectAndSell’s capabilities to its existing customer base while also expanding Banzai’s broader offerings to ConnectAndSell customers.
  • Supports Platform Expansion Strategy: The proposed acquisition would continue Banzai’s strategy of building a more comprehensive software platform through the addition of complementary, business-critical solutions.

Jonti McLaren, President of ConnectAndSell, added, “We believe Banzai is the right platform to build on what ConnectAndSell has developed over the years. This proposed transaction would position our technology within Banzai’s AI-powered family of products and create new opportunities to deliver value to customers at greater scale.”

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Idomoo Introduces Strata: The First AI Foundation Model for Layered Video

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Idomoo Introduces Strata: The First AI Foundation Model for Layered Video

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Strata goes beyond standard diffusion models, generating fully editable, layered video compositions that are always on brand.

Arc XP Partners with TollBit to Help Publishers Monitor, Control, and Monetize AI Bot Traffic

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Arc XP Partners with TollBit to Help Publishers Monitor, Control, and Monetize AI Bot Traffic

New edge integration enables real-time AI bot detection and creates a structured monetization pathway for AI-driven access to publisher content.

Arc XP, the content platform and operating system built for ambitious media companies, announced a new integration with TollBit, the leading platform that helps publishers and creators monitor, manage, and monetize AI usage of their content. The integration gives Arc XP publishers a turnkey path to understand and generate revenue from AI bots and agents that access their content, powered by TollBit.

As generative AI bots increasingly scrape publisher content to access up-to-date information and generate answers, media organizations face growing infrastructure strain, content commoditization, and limited visibility into how their intellectual property is being accessed. While some publishers have entered into licensing agreements with major AI companies, many lack the infrastructure to systematically detect and manage automated AI traffic.

The Arc XP–TollBit integration addresses that gap.

“AI companies are extracting value from publisher content at scale,” said Sharad Vivek, Global Head of Partnerships and Alliances at Arc XP. “Publishers need control and transparency, not guesswork. This partnership gives media organizations the ability to manage AI access on their terms and participate in emerging AI licensing models.”

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From Detection to Commercial Participation.

Most bot-management tools focus solely on blocking traffic. The Arc XP–TollBit integration connects real-time detection with a structured commercial pathway.

Through native integration within Arc XP’s delivery infrastructure and TollBit’s marketplace, publishers can enable TollBit directly from the Arc XP dashboard. Once activated, publishers can then:

  • Monitor AI bot traffic with TollBit Analytics to better understand AI scraping patterns
  • Identify and classify AI bots in real time
  • Block access entirely, if desired
  • Set up an agent-optimized website
  • Redirect AI bots to the TollBit Bot Paywall on your agent site to enforce access rules and pricing

This will allow media organizations powered by Arc XP to automatically monitor AI bot traffic, set licensing terms, and collect payments from AI agents and LLM developers seeking to use their content for real-time retrieval. Participation in monetization programs is optional and configurable. Publishers gain more control over how automated agents interact with their content.

“The current friction between AI development and content creation isn’t just a technical hurdle; it is a fundamental challenge to how the internet operates,” said Toshit Panigrahi, CEO and co-founder of TollBit. “At TollBit, our goal has always been to create a structured, fair exchange for this new AI era. By joining forces with Arc XP, we’re making it effortless for publishers to set their own terms and monetize their content with ease.”

Arc XP provides the native edge-integration and policy-control layer, while TollBit manages the agent authentication, programmatic licensing, and monetization.

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Infrastructure for the AI Era.

AI licensing revenue models are still evolving. However, publishers cannot afford to remain passive participants in an ecosystem where automated agents access content at scale. This integration provides the technical foundation required to enforce access rules, gain visibility into AI activity, and monetize real-time AI retrieval of publisher content.

As AI reshapes how information is discovered and consumed, publishers need infrastructure that supports both protection and participation. The Arc XP–TollBit integration strengthens Arc XP’s broader AI-readiness strategy, reinforcing its differentiation across content protection, monetization, and audience ownership.

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Dataminr Redefines Cyber Defense with AI-Powered Client-Tailored Intelligence and Autonomous Threat and Exposure Management

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Dataminr Redefines Cyber Defense with AI-Powered Client-Tailored Intelligence and Autonomous Threat and Exposure Management

Dataminr for Cyber Defense, the first unified solution from the acquisition of ThreatConnect, fuses real-time intelligence with detailed internal posture to contextualize, prioritize, and automate the entire threat management lifecycle

Dataminr, the leader in AI-powered real-time event, threat & risk intelligence, launched Dataminr for Cyber Defense, a suite of preemptive threat and exposure solutions that assembles and operationalizes real-time, client-tailored intelligence from first signal to risk-prioritized action. Built with agentic and predictive AI at its core, these new solutions securely fuse Dataminr’s external foresight with an organization’s internal telemetry to contextualize threats with precise relevance and business impact. Realizing the strategic vision of the company’s acquisition of ThreatConnect, these unified, adaptive defense solutions drive decisive, automated responses prioritized by continuously quantified business and financial risk.

“No business—and no critical infrastructure—is immune from cyber threats. Real resilience means moving past reactive alerting to proactive, secure-by-design defense: understand the threat, prepare for it, and respond fast. But with defenders increasingly unable to match machine-speed attacks, we need agentic AI to close the gap. Using Dataminr to fuse external foresight with internal telemetry, organizations can finally cut through the noise and neutralize threats before they cause material impact,” said Jen Easterly, Chair of Dataminr’s Corporate Advisory Board.

Purpose-Built Solutions for Every Level of Security Maturity
Dataminr for Cyber Defense is delivered through three core solutions that seamlessly integrate into existing security tools—so customers can start where they are and expand as maturity increases.

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Available immediately:

  • Dataminr Client-Tailored Threat Intelligence: An AI-powered threat intelligence solution that automatically and in real-time filters noise and highlights the threats that truly matter to the organization by fusing external threat signals with internal telemetry. Dataminr bridges the gap between instant detection and actionable foresight, equipping users not only with real-time visibility but with the predictive intelligence necessary to navigate what may come next. It empowers security teams to accelerate operations without requiring manual research cycles, additional tools, or complex workflows.
  • Dataminr Agentic TI Ops: A unified system that redefines the threat intelligence platform by combining Dataminr Client-Tailored Threat Intelligence together with other  sources of commercial and internally generated intelligence. Dataminr ensures customers retain full choice and control over the intelligence fueling their defenses. The agentic platform rapidly orchestrates investigation, enrichment, prioritization, and distribution workflows without added analyst burden or process complexity.
  • Dataminr Predictive Threat Exposure Management: A Continuous Threat Exposure Management (CTEM) solution that combines cyber risk quantification with security control assessment and vulnerability prioritization, enabling security leaders to prioritize and report actions based on measurable business impact rather than alert volume or CVSS scores alone. It provides immediate, clear context on what to do next based on priorities and real-time security posture. When combined with Dataminr Client-Tailored Threat Intelligence or Agentic TI Ops solutions, Dataminr Predictive Threat Exposure Management empowers analysts to leverage the same insights in real-time to support investigations and drive operational decisions.

Learn more about Dataminr for Cyber Defense and these solutions on Dataminr.com.

“We acquired ThreatConnect with a clear vision: to unite our unrivaled breadth and depth of external threat signals with internal telemetry and provide organizations with clarity on what threats are impacting their business so they can act with speed and precision,” said Ted Bailey, CEO and Founder of Dataminr. “The old model of static feeds is obsolete. If you aren’t linking the real-time threat directly to your specific posture and real-time financial impact, you are operating blindly. Dataminr for Cyber Defense empowers teams to stop reacting to noise and take the immediate defensive action necessary to drive superior security outcomes.”

Dataminr for Cyber Defense is built to operationalize the modern cyber defense requirements identified in Gartner® research across two critical categories: Unified Cyber Risk Intelligence (UCRI) by fusing real-time external threats, internal exposure, and business risk into a shared decision model; and Continuous Threat Exposure Management (CTEM), by continuously identifying, validating, and prioritizing exposure based on live telemetry and evolving threats. Dataminr for Cyber Defense is the first suite of solutions to operationalize UCRI and CTEM, modernizing legacy SOC models from alerts and incidents to continuous, preemptive, and prioritized risk control.

“Looking ahead, the future of threat intelligence is Unified Cyber Risk Intelligence (UCRI) and will be defined by the convergence of multisignal collection and advanced analytical capabilities. This multisignal approach, combined with the evolution of AI techniques such as machine learning and natural language processing, will enable faster, more accurate detection of emerging threats and subtle attack patterns.” (Gartner, The Evolution of Threat Intelligence is Unified Cyber Risk Intelligence, 15 September 2025.)

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Agentic and Predictive AI at the Core of Dataminr for Cyber Defense
Unlike security products that have bolted-on AI and merely summarize alert data after the fact, Dataminr stands apart as an AI pioneer. With 55+ proprietary LLMs and a 12+ year event archive, Dataminr’s end-to-end AI architecture leverages Multi-Modal Fusion AI for discovery, ReGenAI for Live Event Briefs and real-time updates, and agentic AI-powered Intel Agents for ongoing context. By continuously ingesting from more than one million public data sources, this system delivers the speed and scale to detect and respond to events, threats, and risks as they unfold. Predictive intelligence and client-tailored guidance combine historical progression of similar threats with internal and external exposure to provide likely developments, enabling users to move rapidly from signal to action with the highest level of confidence.

In customer deployments, the impact of Dataminr’s agentic AI is immediate and measurable. Dataminr’s automation maximizes the value of the entire security stack, with 97% of customers reporting improved effectiveness in operational tools like SIEMs, SOARs, and EDRs. Furthermore, by reducing investigation cycles from hours to minutes, 67% of users report cutting their Mean Time to Respond (MTTR) by more than half, enabling teams to neutralize threats before they cause financial or operational impact. With the total expected financial loss increasing by $2,209,1001 for every 10 days a data breach goes undetected, this speed is critical for enabling teams to neutralize threats before they cause severe operational or business impact.

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Algolia Unlocks Smarter Search and Faster Growth for Shopify Merchants

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Algolia Unlocks Smarter Search and Faster Growth for Shopify Merchants

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Algolia, the AI Search and Retrieval platform orchestrating more than 1.75 trillion queries each year, trusted by over 18,000 businesses and used by millions of developers worldwide, announced significant enhancements to its Shopify integration. The updates further strengthen Algolia’s position within the Shopify ecosystem and deliver faster performance, deeper merchandising control, and stronger scalability for growing brands.

The release introduces Commerce Pipeline, a new indexing foundation that dramatically improves speed and reliability, as well as enhanced analytics, campaign-driven merchandising, structured category support, and richer content discovery. Native Horizon theme and Native Virtual Replica Support will follow this summer.

Nate Barad, Vice President of Product and Technical Marketing, Algolia, said: “Together, these innovations give Shopify merchants a faster, smarter search experience that directly supports revenue growth. We are aligning tightly with Shopify’s evolution while giving merchandisers more control, better data, and enterprise-grade performance.”

Commerce Pipeline: Built for Scale
At the core of the expansion is Commerce Pipeline, a next-generation indexing architecture replacing Algolia’s previous system, and a foundational upgrade for Shopify and its merchants. Search now keeps pace with merchandising, international expansion, and peak demand without costly workarounds.

For large catalogs, full reindex times have dropped by upwards of 80 percent, from over 45 minutes to under 10 minutes. Throughput has increased by more than 50 percent, and for Shopify Markets merchants, product updates now reflect in an average of two minutes. Metafield-heavy stores can now complete full reindexes reliably, and the previous 10-market limit has been removed.

One-Click Pixel Activation: Smarter Data, Better Relevancy
Algolia’s new Click-to-Activate Pixel Analytics captures shopper behavior, including clicks, add-to-carts, and purchases, in a single step.

For merchandisers, this means clearer insight into product performance and stronger data to guide ranking, promotions, and campaign decisions. Behavioral signals automatically improve relevancy, making advanced features available immediately without additional tracking projects.

Barad added, “When shopper data flows seamlessly into search, results improve from day one, Merchandisers can optimize faster and drive stronger performance.”

Enhanced Autocomplete, InstantSearch, & Analytics for Shopify App Blocks
Algolia expanded customization within Shopify App Blocks, giving merchants greater control over how search behaves without requiring a storefront rebuild. Merchants can now pass advanced parameters, including analytics tags, directly into search configurations, enabling more precise tracking and smarter optimization.

This gives merchandisers clearer direction over what search prioritizes and measures. They can align search with campaign goals, track what matters most, and launch faster without complex technical projects. It’s less operational overhead and more measurable impact on what shoppers see and buy.

Dynamic Contexts for Collection Page Merchandising
Algolia enables merchants to apply dynamic rule contexts directly to collection pages, unlocking true page-level merchandising control. Rule contexts act as smart triggers that activate specific merchandising rules, such as pinning products, boosting categories, hiding items, applying filters, or displaying banners, based on the situation.

Barad added: “This means the same collection page can deliver different experiences depending on how a shopper arrives or what campaign is running. For example, a Women’s Shoes collection can prioritize clearance items for email traffic, boost new arrivals for homepage visitors, or highlight a featured brand during a seasonal promotion, all without changing the underlying collection. Merchants gain campaign-specific control over product ordering and presentation, supporting paid media, organic traffic, and promotional pushes with precision.”

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This enhancement gives merchants a stable, supported way to tailor collection pages dynamically while keeping their merchandising strategy agile and aligned to business goals.

Metaobject Support for Richer Content in Search
Algolia now indexes Shopify Metaobjects, allowing buying guides, fit details, ingredients, brand stories, and promotional content to appear directly within search and category experiences.

Barad noted: “Content no longer sits on the sidelines, instead it becomes part of the merchandising engine, helping shoppers discover not just products, but the context that drives confidence and conversion.”

Hierarchical Category Support for Merchandising Studio and Query Categorization
Algolia’s Shopify connector now indexes Shopify’s Standard Product Taxonomy, bringing full parent-child category hierarchies directly into search and merchandising workflows. Instead of relying on flat collection data, merchants can now leverage structured category paths such as Apparel & Accessories > Clothing > Activewear > Tops, enabling deeper and more precise merchandising control.

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This enhancement allows Merchandising Studio and Query Categorization to operate with full category depth, unlocking multilevel facets and AI-driven optimizations that depend on hierarchical structure. Because it uses the category data merchants already maintain within Shopify, no additional data entry or complex mappings are required. The result is more intuitive category-based merchandising, cleaner navigation, and smarter query understanding without added operational overhead.

As Shopify evolves, Algolia continues to align closely with its platform roadmap. Native support for Horizon themes, which power new storefronts, will roll out this summer, ensuring seamless compatibility with Shopify’s newest storefront framework.

Also coming this summer, Algolia will support Virtual Replicas natively within Shopify admin, eliminating index duplication and removing a major scaling blocker for enterprise brands. Merchants will be able to configure sorting without engineering workarounds or storage concerns.

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CreatorIQ Appoints Senthil Kumaran as Chief Technology Officer to Accelerate AI-Driven Innovation in Creator Marketing

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CreatorIQ Appoints Senthil Kumaran as Chief Technology Officer to Accelerate AI-Driven Innovation in Creator Marketing

Veteran technology leader to scale CreatorIQ’s global engineering organization and expand the AI and data infrastructure behind the enterprise creator marketing operating system

CreatorIQ, the operating system for creator-led growth, announced the appointment of Senthil Kumaran as Chief Technology Officer. Kumaran brings more than two decades experience scaling global engineering organizations, integrating complex platforms, and building predictive machine learning systems on first-party data. He will lead CreatorIQ’s global technology organization as the company accelerates its AI-driven roadmap and deepens its data advantage for brands and agencies worldwide.

Kumaran joins CreatorIQ from his role as CTO of Digital Turbine (NASDAQ: APPS), where he led large-scale engineering teams and advanced cloud-native, data-driven platforms. He previously held engineering leadership roles at Meta Reality Labs, Verifone, Yahoo!, and Xperi Inc. Over the course of his career, he has overseen global teams of more than 1,000 engineers, built predictive machine learning systems leveraging first-party data, led development of major AWS environments at scale, and integrated technology stacks, enterprise systems and products across multiple companies post-acquisition.

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His appointment comes at a pivotal moment for the creator economy. As AI-native applications reshape business and marketing, brands are demanding greater speed, deeper insights, and measurable impact from creator investments. CreatorIQ is positioned to meet this shift by further operationalizing its proprietary Creator Graph™ intelligence infrastructure and expanding AI-assisted capabilities across the platform.

“AI is transforming marketing from campaign management into intelligent systems that orchestrate entire ecosystems in real time,” said Chris Harrington, CEO of CreatorIQ. “Nowhere is that shift more visible than in the creator economy, where brands are managing thousands of creator relationships across global markets. CreatorIQ is building the AI-native platform to power that future—turning creator partnerships into always-on growth engines for the world’s leading brands. Senthil brings the technical vision and leadership to accelerate this transformation and help define the next generation of creator marketing.”

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Under Kumaran’s leadership, CreatorIQ will focus on advancing AI-powered execution layers, accelerating product velocity, strengthening data infrastructure, and expanding integrations that reduce time to value for customers. By reducing operational complexity through intelligent systems, CreatorIQ aims to give marketers time back to invest in the inherently human aspects of creator marketing that give it the edge over traditional media.

“CreatorIQ has built an extraordinary foundation — industry-leading data, the powerful Creator Graph, and a global ecosystem of customers and partners,” said Senthil Kumaran, Chief Technology Officer of CreatorIQ. “As marketing shifts toward data- and AI-driven execution, the opportunity is to transform that foundation into intelligent systems that help brands and creators operate faster and more effectively. I’m excited to build on CreatorIQ’s data advantage to unlock new capabilities, deepen integrations across the marketing ecosystem, and accelerate how brands launch, optimize, and monetize creator programs.”

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Zenity Sets the Foundation for Guardian Agents With Continuous, Contextual Security

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Zenity Sets the Foundation for Guardian Agents With Continuous, Contextual Security

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New capabilities transform AI security from disconnected signals into continuous, contextual risk assessment, enabling security teams to understand and act on AI risk as it evolves

Zenity, the leading security and governance platform for AI agents in the enterprise, announced continuous, contextual security for AI agents – a new approach that transforms how enterprise AI systems are secured and sets the foundation for Guardian Agents.

Zenity’s continuous, contextual security closes these gaps and lays the groundwork for Guardian Agents, enabling security teams to accurately identify, prioritize and respond to AI risk as it evolves across the enterprise.

According to Gartner, “Guardian Agents represent the next evolution in AI governance, shifting from passive monitoring to active, real-time protection of AI systems.” Zenity’s continuous, contextual security delivers the foundational capabilities required to enable this shift.

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AI agent risk doesn’t emerge in a single moment. It develops over time across configuration changes, runtime behavior, long-horizon tasks and interactions between agents, users and enterprise systems. Their behavior and exposure can shift in real time as agents rewrite instructions, update memory, and dynamically alter execution. Yet most security approaches, across legacy and startup solutions, still rely on snapshot posture scans and stateless prompt analysis, missing attacks that unfold across multiple interactions and leave teams with a view of risk that is outdated the moment it’s captured.

“Enterprise AI security is breaking under the current model. Agents don’t just execute, they reason, take action and evolve. As they do, risk evolves with them, continuously across every interaction and trigger,” said Ben Kliger, CEO of Zenity. “This release sets a new standard for securing agent-driven systems. Zenity is the first platform to unify posture, runtime behavior, and threat signals into a real-time view of risk. This is the architecture required to secure AI agents at scale, and we’ve built it.”

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Zenity’s continuous, contextual security closes these gaps and lays the groundwork for Guardian Agents, enabling security teams to accurately identify, prioritize and respond to AI risk as it evolves across the enterprise. With Zenity, teams are empowered to:

  • Detect evolving threats with agent context in mind with the stateful threat engine that analyzes full interaction chains in real time, across users, agents and sessions. This includes multi-step prompt injection, gradual data exfiltration and tool misuse that would otherwise appear benign.
  • Maintain real-time exposure visibility by replacing periodic posture scans with real-time, event-driven ingestion that reflects configuration, permission, MCP, and connector changes as they occur, ensuring security teams operate on current risk.
  • Prioritize what matters most with Issues Correlation Agent, connecting posture, runtime activity, and environmental signals into unified risk objects and allowing teams to identify where exposure and active behavior intersect.

By bringing together real-time exposure visibility, stateful runtime detection and contextual risk correlation into a unified model, Zenity moves beyond fragmented monitoring toward intelligent, adaptive security that understands how risk develops and evolves.

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SentinelOne Brings AI Security to On-Premise, Regulated, Sovereign, Self-Hosted and Airgapped Environments

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In the Age of AI, the Human Becomes the Strategy — Vera Advances a Human-Centric Approach to Enterprise Performance

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New and expanded on-premises offerings deliver industry-leading, AI-powered security, giving customers complete control over their data while ensuring it never leaves their environment.

SentinelOne® , the AI Security leader, is bringing the power of autonomous AI security to on-premise and self-hosted environments. The new and expanded portfolio builds on SentinelOne’s existing advantage as the only next generation cybersecurity company to deliver modern, cutting edge endpoint protection with zero cloud dependency. By ensuring all data is processed strictly within the customer’s own environment, the offerings provide complete data privacy and sovereignty. Already deployed across millions of on-premises endpoints, the expanded portfolio will now secure servers, private clouds, and data pipelines at an unprecedented autonomous scale. As a result, highly regulated public and private sector organizations can now defend their most critical, air-gapped environments with the power and speed of AI, without ever sacrificing control of their data.

“Empowering global organizations with the certainty that their data stays in their control is more urgent than ever given the need to adopt AI without compromising privacy. For too long, organizations in highly regulated sectors have faced a trade off between the speed of AI security and total data sovereignty, privacy and control – especially for airgapped networks,” said Ana Pinczuk, President of Product and Technology at SentinelOne. “At SentinelOne, we are committed to breaking that trade-off. By delivering our most advanced autonomous engines and AI protections directly into the customer’s own hardware environment, we are giving them the freedom to innovate securely.”

The security market is shifting as governments and regulated industries increasingly demand total control over where their data lives and how it is processed. This is especially pronounced with the rapid rise of AI – causing these organizations to ensure that AI applications and data stay secure and fully aligned to their principles, without any third party dependency. At the same time, rising geopolitical risks are forcing critical infrastructure to move toward air-gapped systems that can stay secure even when disconnected from the internet.

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Building on its successful FedRAMP and GovRAMP authorized on-premise endpoint security capabilities, the expanded offerings introduce AI-powered protection and the same level of security trusted in the public cloud to the world’s most sensitive organizations. By using a single, lightweight agent, national security agencies, financial institutions, and healthcare providers can standardize their security across any infrastructure. These deployments allow customers to keep all their data in-house, streaming telemetry directly into their own systems for threat hunting and investigations without ever sending information to a cloud service. This established global footprint already protects tens of millions of endpoints for critical infrastructure operators who require total data control.

To further secure private and sovereign clouds, SentinelOne provides real-time protection for servers, containers, and data storage that operates entirely within a customer’s own network. This technology is built to be stable and autonomous, using multiple detection engines that work on-device without needing a persistent internet connection. The solution also extends to local data stores, integrating with systems like NetApp and Dell to automatically scan and quarantine malware at the point of entry. By keeping all threat detection and remediation local, organizations ensure that sensitive data never leaves their secure boundary during the inspection process, and that no off-premise connectivity is ever possible.

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SentinelOne’s Prompt Security On-Premise adds these same protections to the world of AI, even in fully disconnected environments. This self-hosted AI security discovers “shadow AI” usage and redacts sensitive information in real time across thousands of applications. By acting as a specialized firewall for both internal and external AI tools, Prompt Security blocks threats like prompt injections and data leaks while ensuring organizations maintain complete sovereignty over every interaction – no external connection required.

Beyond core security, SentinelOne is introducing a new AI Data Pipeline designed specifically for on-premises environments to optimize how local data flows. By using intelligent filtering, this pipeline helps security teams reduce alert fatigue and cut down on infrastructure costs by only processing what matters most. It also enriches telemetry and monitors the health of the entire data stream, giving organizations better visibility and more reliable insights. AI Data Pipelines allow moving data easily while sanitizing it between different sources and end points like Generative AI models – without the data ever leaving the premises or cloud processing needed.

The expanded offerings can be deployed anywhere so customers can easily meet in-country data residency and regulatory requirements achieving true sovereignty without sacrificing platform capability.

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HuLoop Launches QuickApp Builder to Digitize Paper, Create Intelligent Micro Applications Across Its AI-Powered Work Optimization Platform

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HuLoop Launches QuickApp Builder to Digitize Paper, Create Intelligent Micro Applications Across Its AI-Powered Work Optimization Platform

HuLoop Automation

HuLoop Automation, a leader in AI-powered work optimization, announced the launch of QuickApp Builder, a no-code capability that transforms paper-based and static data collection into intelligent micro applications that automate work across the HuLoop platform.

“Teams can design purpose-built micro applications that activate workflows instantly, update systems in real time, and eliminate the BS work that slows operations down.”

Organizations continue to rely on PDFs, spreadsheets, and basic forms that require manual re-entry and fragmented approval chains, slowing execution and increasing risk. QuickApp Builder eliminates these bottlenecks by capturing validated information once and automatically initiating the appropriate workflows, system updates, and approvals.

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As the newest module in HuLoop’s rapidly expanding portfolio, QuickApp Builder works alongside Productivity Discovery, Work Orchestration, Process Automation, Content Processing, and Test Automation to digitize frontline processes and accelerate end-to-end efficiencies. Integrated natively within HuLoop’s Unified Work Optimization Platform, it guides users through dynamic, context-aware inputs, exposes only relevant fields, and routes information seamlessly across systems the moment it is submitted. This eliminates disconnected tools and enables a single source of truth across operational workflows.

“Traditional, static data collection methods continue to bog down teams with avoidable manual work and process delays,” said Todd P. Michaud, CEO of HuLoop. “QuickApp Builder digitizes data collection into intelligent micro applications that drive automated action. Teams can design purpose-built micro applications that activate workflows instantly, update systems in real time, and eliminate the BS work that slows operations down.”

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Teams can launch fully branded micro applications in as little as 30 minutes. QuickApp Builder also supports enterprise-grade integrations, including SQL databases and REST APIs, allowing organizations to connect data across systems while orchestrating workflows from a centralized platform.

By replacing manual data entry with intelligent collection and automated workflows, organizations can increase efficiency and accuracy by 50-70 percent and free employees from hours of redundant work daily. In banking environments, for example, a financial institution with 50 tellers could save up to 300 hours per month through digitized forms and automated approvals.

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Overfuel Unveils Automotive Industry’s First Search Engine Intelligence Platform to Quantify Factors in AI and Search Visibility

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Overfuel Unveils Automotive Industry's First Search Engine Intelligence Platform to Quantify Factors in AI and Search Visibility

Proprietary Platform Powers Landmark 2026 Mobile PageSpeed Study — and Is Built for Continuous, Real-Time Monitoring of Every Element on the Automotive SERP

Overfuel, the automotive industry’s leading dealer website platform, officially unveiled its proprietary Search Engine Intelligence platform the first tool specifically engineered to reveal the factors that drive AI Overview (AIO) inclusion and organic search visibility for automotive dealerships. While the platform powered the findings of Overfuel’s landmark 2026 Automotive Mobile PageSpeed Study, it is built for something far larger: continuous, real-time monitoring of every element on the automotive search engine results page.

“Dealerships can no longer rely on ‘feeling’ fast,” said Douglas Karr, Principal SEO at Overfuel. “Our platform reveals the data-driven factors that secure top positions. If you aren’t ranking for the most voluminous and highest-value keywords, you’re missing the most intentful buyers in your market. We provide the intelligence to make sure your digital front door stays open.”

Beyond Traditional SEO Tools

Where conventional SEO platforms stop at rankings and keyword tracking, Overfuel’s Search Engine Intelligence platform goes further — capturing the full picture of what local car buyers actually see on their mobile devices. The platform monitors organic listings, local map packs, paid advertisements, People Also Ask (PAA) boxes, and Knowledge Graph panels across the largest 250 U.S. markets simultaneously.

To ensure data integrity, the platform uses a Stateless Request Architecture that bypasses session history, cached cookies, and user behavior biases, delivering an untainted view of local search results as they appear to car shoppers in each market.

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Key platform capabilities include:

  • Economic Impact Modeling: Translates search rank directly into dollar value by integrating keyword cost-per-click (CPC), metro population data, and position-specific click-through rates — giving dealers a clear line of sight from technical performance to revenue impact.
  • AIO Impact Analysis: Quantifies how Google’s AI Overviews affect click-through rates at each rank position, and reveals how top organic spots dominate inclusion in generative AI results.
  • Granular Search Taxonomy: Classifies search phrases by vehicle segment, intent type, and keyword category to isolate performance patterns across new-vehicle, used-vehicle, make-specific, and commercial queries.

Proven at Scale: The 2026 Mobile PageSpeed Study

The platform’s debut at scale produced one of the most consequential findings in automotive digital marketing to date. Analyzing 89,257 organic search result rows across 9,020 dealership domains — drawn from 25,000 searches executed across 250 geographic markets — the 2026 study found a near-perfect statistical correlation between mobile PageSpeed scores and Google search rankings.

Only 8% of dealership domains earned a “Good” mobile PageSpeed score (90+) across all URLs. Nearly 70% scored in the “Poor” tier (0–49). The Pearson correlation between rank position and the share of Good scores was r = -0.932 — a relationship statisticians classify as “very strong.” Sites at position #1 were more than 1.4x more likely to hold a Good score than sites at position #10, and captured roughly 22x the clicks.

“The 2026 study validated what our platform was built to measure,” said Alex Griffis, CEO of Overfuel. “But the real value isn’t a single report — it’s continuous intelligence. The automotive SERP is constantly changing, and dealers need a platform that keeps pace. That’s exactly what we’ve built.”

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The Intelligence Layer Automotive Has Been Missing

As Google’s AI Overviews increasingly compress the traditional organic SERP, the stakes for dealerships have never been higher. Top organic positions now serve as the gateway to AI-generated results, meaning the dealers who rank at the top capture traffic from multiple search surfaces at once — while those ranked lower face an accelerating visibility crisis.

Overfuel’s Search Engine Intelligence platform is designed to close that gap, giving dealers and dealer groups the ongoing intelligence they need to understand exactly where they stand, what’s driving competitors’ results, and where the greatest opportunities for organic growth exist in their local markets.

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Multiply Raises $9.5M for Self-learning Ads, Reports 300%-500% Pipeline Increase for B2B companies

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Multiply raises $9.5m for self-learning ads, reports 300%-500% pipeline increase for B2B companies

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Multiply is the first hybrid AI + human media agency for B2B companies. Launches Self-Learning Advertising, where ads learn from company data and continuously improve.

Multiply is the first AI-native media agency for B2B companies. All marketers know that in traditional advertising, campaigns start losing effectiveness the moment they launch. Creative gets stale and audiences tune out. Multiply calls this phenomenon “decaying ads.”

Today, the company emerged from stealth with $9.5 million in funding to introduce what it calls the next paradigm: Self-Learning Advertising, where ads use internal data to continuously get better on their own. The round was led by Mayfield, with participation from Sorenson Capital, Instacart Co-Founder Max Mullen, Google Head of Gemini and Google Labs Josh Woodward, and executives from HubSpot, Braze, Issuu, Brex, Sierra, and Common Room, among others.

Early customers report outsized impact in sales pipeline generated from ads. Vanta, a leader in security automation, which has raised over $500 million from Sequoia Capital and other top VCs, shared: “We’ve seen 770% more sales meetings, we build and test faster with their AI, and their team is strategic, hands-on, and operates as trusted partners.” Listen Labs, the leading AI customer research platform that has raised $100M, said LinkedIn has become its most efficient paid channel for new leads, with campaigns performing 5X above LinkedIn benchmarks. Across customers, the common thread is velocity, and lead quality, and pipeline impact.

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Multiply Co-Founder & CEO Matt Jayson explains that “Modern companies already have all the data needed to create radically better ads. Sales conversations, CRM systems, and pipeline outcomes reveal exactly why customers buy – yet those insights rarely make their way into ad campaigns fast enough.” Today, Multiply focuses on Google Search ads and LinkedIn ads. The company connects directly to sales call recordings, CRMs, and ad platform performance data to generate new creative and messaging aligned to why buyers choose a company over competitors. Hundreds of structured experiments run continuously, refining audiences, copy, and creative, so campaigns improve every week–instead of declining.

Multiply was founded by Matt Jayson, formerly at Google and Brex, and Ashish Warty, formerly SVP Engineering at HackerOne and engineering leader at Dropbox and Airship. Jayson describes the company’s ambition: “We help companies get discovered by their dream customers. To do this, we’ve built the world’s most insatiable AI agent. Just like a great growth marketer, it’s never satisfied. There’s never enough pipeline. So it keeps learning, testing, and finding ways to get better.”

To tackle something this ambitious, Multiply couldn’t just build AI software. The company operates as a media agency staffed by expert strategists, who use Multiply’s proprietary AI to operate campaigns at speeds and with impact previously impossible.

Multiply’s Customer Insights AI Agent extracts real customer language from sales calls and uses it to personalize ads. The ICP Agent analyzes closed-won deals to refine targeting. The Quality Score Agent continuously tunes copy and keyword alignment. The Creative Design Agent refreshes images weekly. The A/B Testing Agent runs hundreds of experiments, quickly identifying winners and cutting losers. Ashish Warty, Co-founder and CTO of Multiply, describes, “Together, these systems allow Multiply to iterate faster than any traditional agency model.”

“Brand safety is paramount,” explains Warty. “Every campaign includes human oversight from experienced media buyers, and we work within each customer’s brand and compliance requirements. We move as fast as their teams and systems allow.”

While Multiply launched first with Google and LinkedIn ads, the company says its infrastructure was designed for emerging AI-driven ad platforms like ChatGPT ads. Multiply is already helping its customers prepare for ChatGPT ads. All campaign learnings and experimentation systems can extend directly into new formats, including conversational and AI-driven advertising experiences.

“There is a major shift happening in the $50B B2B advertising market,” said Patrick Salyer, Partner at Mayfield and Multiply board member. “Service-as-Software is redefining how companies grow, and Multiply has built the first AI model for B2B advertising. Instead of static campaigns managed manually, Multiply has become a compounding growth engine for every company it partners with.”

Looking ahead, Multiply will expand into a full omni-channel ad buyer for B2B companies, enabling businesses to launch and optimize advertising across all major platforms from a single system. The roadmap includes expansion to additional channels, daily creative refresh, unified cross-channel attribution, and AI-driven budget allocation across ad channels to maximize pipeline impact. As new AI-powered advertising channels emerge, Multiply aims to help customers adopt them early while continuing to outperform across existing platforms.

Multiply is the first AI media agency, designed specifically to help B2B companies get discovered by their ideal customers and turn ads into a reliable pipeline engine. Early customers report outsized gains. Companies using Multiply have seen 300 to 500% improvements in sales meetings booked and pipeline generated from ads.

It combines proprietary AI with experienced growth strategists who operate as an extension of a customer’s team. Multiply plugs directly into sales calls and CRM data to understand why customers actually buy. Its AI agents then translate those insights into highly personalized ads, launch hundreds of structured experiments, and continuously optimize performance across Google and LinkedIn.

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Aurora Mobile’s EngageLab Redefines Marketing Agility at MarketingPulse: Bridging AI Trends with Unified Execution

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Aurora Mobile's EngageLab Redefines Marketing Agility at MarketingPulse: Bridging AI Trends with Unified Execution

Aurora Mobile Limited, a leading provider of customer engagement and marketing technology services, announced that its AI-first customer engagement platform, EngageLab, successfully concluded its high-profile participation at Hong Kong MarketingPulse & eTailingPulse 2026, organized by HKTDC. Throughout the event at the HKCEC, EngageLab’s Booth became a premier destination for marketers seeking to “Redefine Customer Relationships for the AI Era.”

Turning AI Trends into Marketing Reality

MarketingPulse 2026 was abuzz with discussions on Agentic AI, reflecting a critical shift in the industry: marketers are no longer looking for simple automation, but for intelligent “agents” capable of autonomous reasoning and execution. As brands grapple with the challenge of scaling personalized experiences without losing the human touch – a recurring theme across the summit’s keynote sessions – EngageLab stood out by demonstrating how these high-level trends are already integrated into its Native AI capabilities:

AI-Human Collaboration: EngageLab LiveDesk showcased how AI Agents seamlessly collaborate with human agents within the LiveDesk environment. By handling routine inquiries and automating complex workflows across all messaging channels, AI allows teams to focus on high-value customer interactions.

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AI-Powered Marketing Efficiency: Aligning with the event’s focus on long-term value, EngageLab demonstrated how its Native AI automates high-converting content generation and optimizes delivery strategies. This ensures that every message is not only personalized but also delivered at the most impactful moment, significantly shortening the path from engagement to conversion.

The “All-in-One” Breakthrough: Solving the Marketer’s Greatest Pain Point

The most significant highlight of the event was the overwhelming interest in EngageLab’s Unified Platform, which directly addressed the “fragmentation fatigue” voiced by many e-commerce leaders during the summit’s Digital Transformation sessions. In a landscape where marketing stacks are increasingly siloed—often resulting in disjointed customer experiences and lost conversion opportunities—EngageLab’s ability to consolidate channels, verify, marketing and support into an united, cohesive ecosystem resonated with businesses.

Visitors saw how a single source of truth—combining marketing automation with real-time support—can reshape the consumer journey. This unified approach allows brands to move beyond “stitched-together” stacks to a truly Customer-Centric Marketing Automation strategy that unlocks long-term value.

“Marketers don’t just want to send messages; they want to build relationships,” said the Marketing Director at EngageLab, Tanya Quan. “By combining modular products, we provide a unified solution that allows brands to ‘start anywhere, expand into one platform,’ simplifying the complex marketing tech stack and unlocking long-term value.”

As the event drew to a close, EngageLab’s message to the marketing world remained clear: in an era of complexity, the path to growth lies in simplification. Whether starting with a single channel or deploying a full-scale AI-driven ecosystem, EngageLab stands ready to help brands turn every interaction into a lasting relationship.

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Bazaarvoice Research Finds Consumers Are Using AI to Help Edit Reviews, Not Ghostwrite

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Bazaarvoice research finds consumers are using AI to help edit reviews, not ghostwrite

New data reveals nearly one in four consumer product review writers use AI tools, but the vast majority are using them only to refine grammar and tone

New research from Bazaarvoice Inc., the world’s leading platform for collecting and distributing authentic consumer product ratings and reviews, reveals how shoppers feel about the intersection between AI and the online product review ecosystem. The findings suggest that while shoppers may not be completely trusting of AI’s role, the core issue isn’t simply its use, but how it is applied and communicated. As AI becomes more common in content creation, consumers are making it clear that authenticity, transparency, and preserving a reviewer’s personal voice and valid personal product experience remain essential to maintaining trust in reviews.

According to the research, nearly 1 in 4 review writers (23%) say they use AI at least sometimes to help write reviews, signaling that AI is quickly becoming part of the review creation process. Yet despite rising adoption, 64% say reviews written with AI are not authentic, highlighting a growing tension between technological convenience and consumer trust. What makes this distrust interesting, however, is that only 16% are very confident they could distinguish between an AI-written and human-written review.

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“AI is rapidly becoming part of the shopping journey, but when it comes to reviews, authenticity still matters above all else,” said Doug Straton, Chief Marketing Officer at Bazaarvoice. “Consumers may use AI as a tool to help refine their thoughts, but they ultimately trust reviews that reflect real experiences and real voices. Our Content Coach feature is the perfect example of using AI to help generate reviews authentically. It doesn’t write anything for the shopper – it simply uses AI to suggest unbiased topic ideas tailored to the specific product category for the reviewer to write about, preserving review authenticity while increasing the length and richness of reviews to fuel future customer purchases.”

Despite authenticity concerns, the research shows that most consumers using AI tools are not outsourcing their opinions. Instead, they are using AI primarily as an assistant to improve clarity and structure. In fact, nearly half (47%) of respondents use on-site suggestion tools that are embedded in review platforms for this refinement. Those using third party generative AI tools such as ChatGPT, Gemini, or Perplexity, overwhelmingly (83%) reported they write the full review themselves first, using AI tools only to refine grammar and tone. Additionally, half of respondents (53%) stated that they share their own notes and bullet points to guide AI assistance, showing that AI is not being used as the ghostwriter but as the copy editor.

“Whether it comes to artificial intelligence usage in review writing or LLM suggested product recommendations, our research has shown time and time again that authenticity is paramount,” said Alex Kirk, Director of Insights at Bazaarvoice. “In previous research we’ve found that consumers are more likely to trust product recommendations provided from generative engines when they know that authentic ratings and reviews are sourcing the suggestions, so it makes sense that they want reviews to be written based on real human experience. Consumers can use AI to improve the grammar and clarity of their reviews, but they should always make sure they’re getting their honest thoughts and opinions across.”

Even among consumers who use AI to help write reviews, concerns about authenticity remain. Many respondents say AI-generated outputs can feel overly promotional or disconnected from their real experiences, with 48% saying the tone feels robotic, 44% saying it erases their voice, and 35% worrying it could introduce inaccurate product details.

“AI is here to stay, and its adoption is only accelerating; banning it entirely from review content is not only extremely difficult, it’s unnecessary – we’d have to ban the use of spelling and grammar checks built into our device operating systems while review writing, after all,” continued Straton. “A review written with AI assistance is not inherently fraudulent. There is a world of difference between a customer using AI to articulate their genuine experience and a bad actor using it to mass-produce fake reviews for products they’ve never touched. To ensure that AI and authenticity can coexist, we’re continuing to create digital guardrails such as our Intelligent Trustmark, a visual symbol we display on reviews that have passed Bazaarvoice’s rigorous authenticity standards, and are proven to be real and verified. Proper disclosure and unbiased moderation processes will be key as this space evolves.”

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LTM Expands BlueVerse™ Tech with AppIQ, AgentIQ and FusionIQ to Accelerate AI‑Led Engineering

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LTM Expands BlueVerse™ Tech with AppIQ, AgentIQ and FusionIQ to Accelerate AI‑Led Engineering

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LTM – the Business Creativity partner to the world’s largest enterprises, announced the expansion of BlueVerseTM Tech, its AI‑led engineering platform, with the launch of AppIQ, AgentIQ and FusionIQ—three purpose‑built platforms designed to help enterprises modernize applications, orchestrate AI‑first software delivery, and engineer quality at scale.

As software development evolves from human‑only execution to human + intelligent agents, traditional effort‑driven engineering and QA models are increasingly unable to keep pace. These BlueVerseTM platforms embed agentic, engineering‑aware AI across the software development lifecycle (SDLC), enabling enterprises to move faster from legacy complexity to modern, resilient, and high‑quality digital systems.

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AppIQ — Modernize Legacy Applications, Faster

AppIQ applies AI to read and understand legacy codebases, generate documentation, map functional workflows, and produce actionable specifications for forward engineering. What previously required weeks of reverse engineering can now be completed in days, significantly reducing modernization risk and cost.

AgentIQ — Orchestrate AI Agents Across Software Delivery

AgentIQ provides a unified platform to deploy, govern, and orchestrate AI agents across the software delivery lifecycle, with ready‑to‑use agents, no‑code setup, and enterprise‑grade security—enabling production‑ready AI adoption across engineering teams.

FusionIQ — Accelerate Speed to Market with Assured Quality

FusionIQ accelerates enterprise test automation across the software testing lifecycle, from requirement understanding and test design to automation scripting, test data management, and continuous optimization by embedding AIdriven monitoring and feedback into testing workflows.

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Together, AppIQ, AgentIQ and FusionIQ deliver 40–50% reduction in engineering effort across the software development lifecycle — from legacy modernization and AI-driven delivery to quality engineering — while accelerating time-to-market and lowering ongoing operational costs.

“BlueVerseTM Tech reflects a fundamental shift in how engineering organizations create value with AI. By embedding AI across modernization, delivery orchestration, and quality engineering, we are helping clients reduce complexity, improve predictability, and move faster with confidence—turning AI from experimentation into measurable business advantage at scale,” said Gururaj Deshpande, Chief Delivery Officer, LTM.

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