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Tag: Agents

Zoom sees human conversation as its edge in the agentic AI era

AI agents in the workplace are increasingly able to retrieve information, coordinate tasks, and even act on a user’s behalf. But important decisions still typically happen through human interaction. As agentic AI threatens to disrupt the SaaS market, Zoom sees an advantage in its ability to capture interactions across video, phone, and in-person meetings —…

Zoom sees human conversation as its edge in the agentic AI era

AI agents in the workplace are increasingly able to retrieve information, coordinate tasks, and even act on a user’s behalf. But important decisions still typically happen through human interaction. As agentic AI threatens to disrupt the SaaS market, Zoom sees an advantage in its ability to capture interactions across video, phone, and in-person meetings —…

Zenity advances context-aware security for AI agents

Zenity has unveiled continuous, contextual security for AI agents, a new approach that transforms how enterprise AI systems are secured and sets the foundation for Guardian Agents. 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…

Straiker enables visibility and runtime protection for enterprise AI agents

Straiker has launched Discover AI and expanded Defend AI to secure coding agents, productivity agents, and custom-built agent platforms. Agents are operating across enterprise systems with broad access, growing autonomy, and zero security oversight. That’s why Straiker built Discover AI and Defend AI: to give security teams visibility into what agents are running and protection…

AppViewX acquires Eos to extend identity security to AI agents and workloads

AppViewX has acquired Eos, an AI-native identity control plane for AI agents and autonomous workloads within the enterprise. By combining AppViewX’s automated CLM and PKI with Eos’s agentic governance and privileged access control, the platform delivers an integrated solution for AI agent and machine identity security. The acquisition accelerates AppViewX’s evolution into an AI-native platform,…

Virtue AI brings continuous stress testing to enterprise AI agents

Virtue AI has announced Agent ForgingGround with built-in Red-Teaming Agents, the first enterprise-scale testing ground designed to continuously evaluate and stress-test AI agents (including multi-agent systems) before, during, and after deployment. As organizations adopt large-scale AI agents, many enterprises are unprepared to manage agent risk. AI agents can call tools, access sensitive data, and execute…

Tufin introduces AI agents to take on network security work

Tufin is launching a new collection of AI agents designed to take on network security tasks for teams that are already stretched thin. This helps free up scarce expertise to focus on higher-level risks, critical decisions, and defending the enterprise. Enterprise infrastructure is becoming more dynamic, decentralized, and harder to secure. Tufin’s Network Connectivity Graph,…

Runtime: The new frontier of AI agent security

AI agents are already operating inside enterprise networks, quietly doing some of the work employees once handled themselves — writing code, drafting emails, retrieving files, and connecting to internal systems. Sometimes they also make costly mistakes. At Meta, an employee asked an AI assistant to help manage her inbox. It deleted it instead. At Amazon,…

Hidden instructions in README files can make AI agents leak data

Developers rely on AI coding agents to set up projects, install dependencies, and run commands by following instructions in repository README files, which provide setup guidance for software projects. New research identifies a security risk when attackers hide malicious instructions in those documents. A semantic injection attack, where injections are embedded in an installation file,…

AI Agent Safety Checklist

As organizations rapidly adopt AI agents to automate workflows, summarize data, and assist decision-making, security and governance teams face a new challenge: how to deploy AI safely without introducing unmanaged risk.  Unlike traditional SaaS tools, AI agents can interpret, generate, and act on data dynamically — often across multiple systems. That makes oversight, scope control,…

Datadog MCP server delivers live observability to AI agents and IDEs

Datadog has announced the general availability of its MCP Server. For developers embedding AI agents into development and operational workflows, the Datadog MCP Server provides access to live observability data, enabling teams to debug with their preferred AI coding agents or integrated development environments (IDEs), use real-time telemetry, and take action within established security and…

AI oversight is creating mental fatigue at work

Workflows built around multiple AI agents and constant tool switching are adding cognitive strain across large enterprises. A recent Harvard Business Review analysis describes this pattern as “AI brain fry,” a form of mental fatigue tied to intensive use and oversight of AI systems. Employees increasingly manage clusters of agents that generate code, synthesize information,…

How AI Assistants are Moving the Security Goalposts

AI-based assistants or “agents” — autonomous programs that have access to the user’s computer, files, online services and can automate virtually any task — are growing in popularity with developers and IT workers. But as so many eyebrow-raising headlines over the past few weeks have shown, these powerful and assertive new tools are rapidly shifting…

ClawJacked flaw exposed OpenClaw users to data theft

“ClawJacked” flaw let malicious sites hijack OpenClaw AI agents to steal data; patch released in version 2026.2.26. A high-severity vulnerability called ClawJacked in OpenClaw allowed malicious websites to brute-force and take control of local AI agent instances. Oasis Security discovered the flaw, which enabled silent data theft. OpenClaw addressed the issue with version 2026.2.26, released…

BlacksmithAI: Open-source AI-powered penetration testing framework

BlacksmithAI is an open-source penetration testing framework that uses multiple AI agents to execute different stages of a security assessment lifecycle. A multi-agent structure for offensive workflows BlacksmithAI runs as a hierarchical system in which an orchestrator coordinates task execution across specialized agents. Each agent maps to a common penetration testing function. The recon agent…

Inside AWS Security Agent: A multi-agent architecture for automated penetration testing

AI agents have traditionally faced three core limitations: they can’t retain learned information or operate autonomously beyond short periods, and they require constant supervision. AWS addresses these limitations with frontier agents—a new category of AI that performs complex reasoning, multi-step planning, and autonomous execution for hours or days. Multi-agent collaboration has emerged as a powerful…

Veza expands platform with AI Access Agents for enterprise identity governance

Veza expanded its platform with Veza Access Agents, a set of purpose-built AI agents designed to automate complex identity and access governance tasks for enterprises. Veza also announced advancements to its AI Agent Security product, providing organizations with deeper visibility into agent risks and greater control over third-party AI agents, large language models (LLMs), AI…

Druva expands DruAI with autonomous agents for forensics and compliance

Druva announced a major expansion of DruAI, adding Deep Analysis Agents that automate complex multi-day forensic and compliance investigations. IT and security teams spend too much time not just fixing problems, but proving what happened and why across incident response, forensics, audits, and operational reviews. Much of that effort goes into manual correlation and report…

New Relic Launches Agentic Platform, a No-code Solution to Build and Govern Custom AI Agents for Observability at Scale

COMPANY NEWS:    Solution democratises AI by allowing SREs and Ops teams to build powerful AI agents, without writing code, to accelerate workstreams and automation  Enterprises can now build, deploy, and manage a full spectrum of agents that move operations from passive observation to active task execution, directly within their observability stack

Windows 365 for Agents brings managed cloud PCs to autonomous workflows

Microsoft’s Windows 365 for Agents is a cloud platform that gives AI agents secure access to cloud PCs. It lets builders run copilots, agents, and automated workflows in Windows environments without managing infrastructure. The platform includes security, policy controls, scalability, and visibility so agents can browse websites, process data, and complete tasks inside a managed…

Security and complexity slow the next phase of enterprise AI agent adoption

Enterprise AI agents are embedded in routine business processes, particularly inside engineering and IT operations. Many organizations report active production deployments, and agent development ranks high on strategic agendas. A new study from Docker, The State of Agentic AI Report, examines how enterprises are deploying agentic systems and the challenges emerging as deployments scale. The…

Over 41% of Popular OpenClaw Skills Found to Contain Security Vulnerabilities

As AI agents become more widely adopted, new research is highlighting security gaps within their supporting ecosystems.  A large-scale audit of the OpenClaw skill registry by ClawSecure found that 41.7% of widely used skills contain substantive vulnerabilities, including issues such as command injection and credential exposure. “We audited 2,890+ of the most popular OpenClaw skills…

AI agents still need humans to teach them

AI agents need skills — specific procedural knowledge — to perform tasks well, but they can’t teach themselves, a new research suggests. The authors of the research have developed a new benchmark, SkillsBench, which evaluates agentic AI performance on 84 tasks across 11 domains including healthcare, manufacturing, cybersecurity and software engineering.  The researchers looked at…

Brinqa targets manual bottlenecks in exposure management with integrated AI agents

Brinqa has advanced its platform with the introduction of two new AI agents, the AI Attribution Agent and the AI Deduplication Agent, designed to address two of the most persistent and costly problems in enterprise security, unclear asset ownership and duplicate exposure signals. The key business problem of enterprise organizations around exposure management is not…

Open source maintainers being targeted by AI agent as part of ‘reputation farming’

AI agents able to submit huge numbers of pull requests (PRs) to open-source project maintainers risk creating the conditions for future supply chain attacks targeting important software projects, developer security company Socket has argued. The warning comes after one of its developers, Nolan Lawson, last week received an email regarding the PouchDB JavaScript database he…

AI agents behave like users, but don’t follow the same rules

Security and governance approaches to autonomous AI agents rely on static credentials, inconsistent controls, and limited visibility. Securing these agents requires the same rigor and traceability applied to human users, according to Cloud Security Alliance’s Securing Autonomous AI Agents report. Agents scale faster than governance frameworks Autonomous AI agents act on behalf of humans, accessing…

MintMCP’s governance platform helps organizations deploy, monitor, and secure AI agents

MintMCP launched its enterprise governance platform for AI agents and MCP servers, enabling teams to deploy, monitor, and secure agent infrastructure at scale. The platform enables organizations to deploy, monitor, and secure AI agents at scale while maintaining complete audit trails and policy enforcement. As enterprises race to deploy AI agents, security teams face a…

OpenAI Frontier organizes AI agents under one system

OpenAI introduced Frontier, a platform designed to organize AI agents that perform business tasks within internal systems and workflows. The platform connects data from multiple internal systems including customer relationship management tools, ticketing platforms, and data warehouses. This integration creates a shared knowledge layer that allows AI agents to understand business processes and decision points…

GitHub enables multi-agent AI coding inside repository workflows

GitHub has expanded Agents HQ, enabling AI coding agents such as GitHub Copilot, Claude by Anthropic, and OpenAI Codex to execute development tasks directly within GitHub and developer editors while preserving repository context, session history, and review workflows. Copilot Pro+ and Copilot Enterprise developers can start agent sessions from GitHub, GitHub Mobile, and Visual Studio…