Also Read: Akamai and Arrow Electronics Partner to Scale Secure Digital Experiences

“We launched TrendAI to define the AI security category. This next phase is about scaling that vision globally, with leading partners like Anthropic. Our broad, strategic collaboration across research, defense, and innovation will define how AI is secured moving forward,” said Rachel Jin, Chief Platform and Business Officer, Head of TrendAI. The partnership aims to expand threat research efforts like the Zero Day Initiative and Pwn2Own. This will help identify weaknesses in AI environments sooner. Overall, this move shows the industry’s drive to secure complex, AI-driven infrastructures on a larger scale.

Read More: TrendAI Partners with Anthropic to Extend Leadership in AI Security

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Also Read: Accenture Backs Replit to Accelerate AI-Driven Enterprise Software Development

“This partnership will allow our portfolio companies to rapidly implement leading AI technology from Google Cloud, which will enable our companies to build and deliver the most innovative AI solutions for their customers,” said Orlando Bravo, Founder and Managing Partner at Thoma Bravo. The partnership focuses on boosting cybersecurity. It aims to tackle AI-driven threats by improving identity governance, access control, and threat detection in changing enterprise settings.

Read More: Thoma Bravo and Google Cloud Launch Strategic Partnership to Deliver on the Promise of AI for Enterprise Software

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Trust is at the core of any system, and this partnership helps teams build with confidence from the start. Together, Hashgraph and Halborn are helping ensure that applications launching on the Hedera network are resilient from day one and continue to meet high standards as they grow.

“Security is fundamental to trust in any distributed system,” said Joe Blanchard, CIO and CSO at Hashgraph. “By working with Halborn, we are giving builders in the Hedera ecosystem access to specialized expertise that helps them identify and address risks early, and continue strengthening their systems over time.”

Halborn brings deep experience securing systems that operate under real-world pressure. The firm has conducted more than 2,500 security assessments, identified over 13,000 vulnerabilities, and helped protect more than $1 trillion in digital assets. Its team of more than 100 security practitioners supports over 800 clients, including financial institutions operating in highly regulated environments. This experience shapes a practical approach to security that focuses on how systems behave when things go wrong.

Also Read: Elliptic Integrates With Tempo, the Payments-First Blockchain

Halborn’s methodology focuses on identifying potential exploit paths across the full stack, with the goal to deliver clear, prioritized findings that teams can act on quickly, with validation processes in place to ensure accuracy and completeness. A key element of the partnership is enabling a more structured approach to security as projects evolve, including:

• Pre-launch readiness, where early risks are identified and translated into clear go or no-go decisions
• Targeted assessments, allowing teams to bring in security expertise as new components are introduced
• Continuous engagement, where security becomes an ongoing part of development and operations

This model reflects how risk changes as systems grow more complex, integrate with new services, and attract greater usage. For the Hedera ecosystem, it means access to security support that aligns with how projects are actually built and deployed.

The partnership between Hashgraph and Halborn is ultimately focused on strengthening trust. By combining Hedera’s consensus-level security with Halborn’s ability to identify and address real-world threats, the Hedera ecosystem is better positioned to support applications that require a high level of assurance, from financial services to AI and beyond.

Source: PRNewswire

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Also Read: Dfns Launches ‘Payouts’ API to Simplify Stablecoin-to-Fiat Settlement

“We’ve spent years building our expertise in blockchain, and now we’re expanding that work by running critical blockchain infrastructure ourselves,” said Cuy Sheffield, Head of Crypto, Visa. The company added that its participation aligns with its broader strategy to support stablecoin payment systems and ensure enterprise-grade standards for emerging digital payment ecosystems. Tempo noted that Visa’s global transaction expertise makes it a strong fit for validating payments at scale.

Read More: Visa Launches Validator Node on Tempo Blockchain

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Also Read: Orca Security Expands Cloud Security Reach with TD SYNNEX Partnership

The partnership also enables organizations to run GitLab’s AI Gateway on Google Cloud infrastructure, eliminating the need for separate AI provisioning and allowing customers to align AI usage with existing Google Cloud commitments. “As AI agents become central to how teams build software, they need strong models and a governed environment to be effective in the enterprise,” the announcement noted. The collaboration also provides flexibility through Vertex AI’s Model Garden and GitLab’s Bring Your Own Model option, allowing enterprises to balance performance, cost, and regulatory needs while scaling AI-powered software development securely.

Read More: GitLab Collaborates with Google Cloud to Bring Agentic DevSecOps to Enterprise Teams Using Vertex AI

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The MCP server offers a way to work with popular AI tools and live operational data within N-able’s UEM solutions, such as N-central and N-sight, in a very natural manner. In the past, teams have had to depend on inflexible APIs and manual methods to interconnect systems, which has kept the use of AI quite limited in practice. Through the MCP server, enterprises can establish a secure connection between tools like Claude, ChatGPT, or Copilot right in their environments, making it possible for them to query data and execute actions under control immediately.

This process creates more flexibility in choosing models, makes the process of work of AI fit the operations, and makes sure that the access to sensitive data is controlled. This will allow for the development of an open environment, where AI can be integrated into various AI systems and partners. By allowing access to AI on telemetry, N-able intends to turn AI from just analytics into active participation in IT operations.

Also Read: Strobes Introduces AI Harness to Accelerate End-to-End Penetration Testing

Complementing this capability is N-zo, an embedded AI assistant designed to accelerate issue resolution. Built directly into the UEM interface, N-zo leverages live system data to provide actionable insights, identify root causes, and recommend remediation steps. It can also generate reports and briefings instantly, helping teams reduce manual effort and stay focused on higher-value tasks.

Early feedback highlights its impact. “This is probably one of the best and quickest ways that I found value. I’m getting to skip support for a bunch of things. It’s already saved me so much time,” said Louis Oosthuizen, Software Engineer at Zhero.

“IT and security teams are under constant pressure, managing more tools and more data with less time to act,” said Nicole Reineke, Chief AI Officer at N-able. “The MCP server securely connects AI tools to live environments, turning AI from isolated insight into controlled, real-time action. N-zo complements that by embedding intelligence directly into N-central and N-sight as an in-product AI that understands the environments technicians manage, and accelerates resolution so teams can focus on proactive work instead of constant firefighting.”

Together, these innovations position N-able at the forefront of AI-native IT management, offering organizations a more efficient and responsive approach to endpoint operations.

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Roland joins UserTesting from Overjet, where he served as Chief Financial Officer and helped scale the company’s financial operations during a period of rapid expansion. He has also held senior finance leadership roles at AKASA, an AI-first healthcare technology company, as well as Honor, Teespring, Jive Software, and SAP SuccessFactors.

Also Read: Enformion Launches Licensed Identity Intelligence Infrastructure to Power AI and Modern Data Platforms 

“Our customers rely on us to help them avoid building the wrong things, and as AI accelerates how quickly products and experiences are created, the demand for what we offer is only increasing,” said Eric Johnson, CEO of UserTesting. “Ryan brings the experience we need to scale thoughtfully so we can meet that demand without compromising quality.”

“I’m excited to join UserTesting at such an important moment,” said Roland. “There’s a real opportunity to help organizations make better decisions by bringing customer context into how they build and operate. I’m looking forward to partnering with the team to support that work and drive long-term growth.”

Source: BusinessWire

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Site managers and front-line supervisors face an impossible task: every day they’re buried under a flood of information, from hallway conversations to emails, dashboards, and reports, with limited time to determine what actually matters most. The result is often that critical risks get missed, corrective actions get delayed, and the progress teams are making toward safer work goes unrecognized.

Also Read: Dashlane and KnowBe4 Integrate to Turn Security Awareness into Real-Time, Proactive Defense

Risk Insights represents a fundamental shift in how safety intelligence reaches frontline leaders. Instead of requiring site managers and supervisors to hunt through dashboards, video libraries, and reports for answers, Voxel’s Industrial Intelligence Platform continuously analyzes facility data and surfaces the most critical risks and emerging safety trends. The insights are concise, actionable summaries delivered directly to users via the Voxel portal, email, and SMS. Risk Insights don’t just tell leaders what is happening; they explain where and when it’s happening, and critically, why – providing root cause analysis grounded in observable video evidence. The result is a clear answer to the question every safety leader asks every morning: “What should I be focused on today and why?”

“Site managers are overwhelmed with information that’s hard to translate into a clear plan,” said Vernon O’Donnell, CEO of Voxel. “Risk Insights flips that dynamic entirely. Our AI doesn’t wait to be asked where to focus, it proactively identifies the highest risks across your facility, explains why they’re occurring, and delivers that intelligence directly to the people who can prevent injuries. This is applied AI protecting real lives, every single day.”

Source: BusinessWire

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Moritz Mann succeeds Geoff Haydon, who is stepping down as CEO to pursue a new professional opportunity outside Ontinue. Ontinue’s Board of Directors thanked Haydon for his leadership and contributions in building the company’s foundation, platform, and culture.

With more than 20 years at Ontinue, Mann brings deep continuity and leading-edge industry knowledge to the CEO role. Most recently serving as Chief Strategy Officer, he has been the key architect of Ontinue’s strategy, product direction, and Agentic SOC vision, an AI-native approach to managed security operations that combines expert human defenders with intelligent automation to protect customer environments at scale.

“Moritz has been instrumental in shaping Ontinue’s differentiation and growth trajectory,” said Dr. Bernd-Michael Rumpf, Chairman of the Board. “This appointment reflects a thoughtful leadership transition aligned with Ontinue’s long-term strategy. Moritz brings deep technical and product expertise, strong market insight, and a clear customer-centric execution mindset. The Board has full confidence in his ability to lead Ontinue through its next phase of growth.”

Also Read: Highflame and Tailscale Partner to Secure AI Agents and Model & MCP Interactions at the Network Layer

Ontinue enters this next chapter from a position of strength, with more than 250 customers globally, industry-leading customer satisfaction, and rapidly accelerating go-to-market momentum driven by its Microsoft-first MDR platform and expanding global partnerships with Microsoft. Demand continues to grow as organizations seek modern alternatives to traditional SOC models that struggle with scale, complexity, and noise.

Central to Ontinue’s momentum is its Agentic SOC vision, a next-generation approach to managed security operations designed for a threat landscape moving at machine speed. Rather than relying solely on human analysts or automation alone, Ontinue’s model brings together intelligent AI agents and expert defenders in a unified operating system for security natively integrated into the Microsoft Security stack. Ontinue’s Agentic SOC delivers threat investigation and response, as well as security posture hardening, with the speed, scale, and contextual understanding that traditional SOC models cannot achieve.

As CEO, Moritz Mann will focus on tightening the connection between customer needs, product innovation, and market execution, accelerating Ontinue’s leadership in Agentic security operations while deepening its position as the premier MDR partner for Microsoft customers.

“The vision our customers have invested in remains firmly intact,” said Mann. “As CEO, my priority is execution, translating customer challenges directly into innovation, moving faster as a company, and scaling globally without losing what makes Ontinue different. We are building the Agentic SOC, an operating model for managed security operations where AI, guided by human experts, accelerates security decision-making. This fusion of AI and human expertise is how modern organizations can scale security without losing trust or control, and we are just getting started.”

The leadership transition strengthens Ontinue‘s executive focus as the company scales globally, aligning innovation, customer outcomes, and go-to-market execution.

Source: PRNewswire

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The company attributes long pentesting cycles not to technical complexity, but to fragmented workflows and coordination delays. Conventional approaches often rely on sequential handoffs between tasks such as reconnaissance, exploitation, validation, and reporting. Strobes’ AI Harness addresses this inefficiency by executing these activities in parallel through a coordinated network of specialized AI agents.

“Why does a pentest still take three weeks in 2026?” said Venu Rao, CEO & Co-founder at Strobes. “It’s the coordination overhead, the context switching, and the serial nature of the process. Our AI Harness runs these workstreams in parallel, around the clock, delivering output on par with a senior pentester in a fraction of the time.”

Also Read: Exabeam Expands AI Security to Protect Enterprises from Agentic Insider Threats 

At the core of the platform is a supervisor agent that breaks down testing objectives into discrete tasks and assigns them to domain-specific agents. These include cloud security-specific modules, web application vulnerability modules, API testing modules, network analysis modules, code review modules, and compliance mapping modules. These agents perform together by sharing structured insights to form an integrated assessment.

Strobes is powered by cutting-edge foundation models, such as Anthropic Claude via AWS Bedrock, complete with guardrails, memory persistence, and human-in-the-loop controls. All actions that need to be performed require explicit approval from humans.

Preliminary deployments have yielded promising results in terms of quick vulnerability detection, automatic ticket generation, and one-session report writing. Strobes also seamlessly works with common enterprise applications like Jira, ServiceNow, GitHub, Slack, and Splunk.

Through the integration of automation and oversight, Strobes aims at filling the void that lies between vulnerability detection and taking actions against vulnerabilities.

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