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Tag: Agents

Microsoft wants to put AI agents on a short leash

As enterprises race to adopt AI agents across software development workflows, Microsoft is rolling out new controls aimed at keeping the transformation from becoming a security headache. At its annual developer conference, Microsoft Build, the company unveiled a set of initiatives, including a brand new runtime containment offering, Microsoft Execution Container (MXC), for agentic AI…

Microsoft wants to put AI agents on a short leash

As enterprises race to adopt AI agents across software development workflows, Microsoft is rolling out new controls aimed at keeping the transformation from becoming a security headache. At its annual developer conference, Microsoft Build, the company unveiled a set of initiatives, including a brand new runtime containment offering, Microsoft Execution Container (MXC), for agentic AI…

Microsoft wants to put AI agents on a short leash

As enterprises race to adopt AI agents across software development workflows, Microsoft is rolling out new controls aimed at keeping the transformation from becoming a security headache. At its annual developer conference, Microsoft Build, the company unveiled a set of initiatives, including a brand new runtime containment offering, Microsoft Execution Container (MXC), for agentic AI…

Qevlar’s new AI agents correlate CVEs, incident data, and active exploitation signals

Qevlar has announced a new set of AI agents designed to bridge the disconnect between Security Operations Centers (SOCs) and vulnerability management teams. The new capabilities help security teams correlate CVEs with live incident data for real-time risk prioritization, automatically identify asset owners to speed remediation, and autonomously hunt for active CVE exploitation. General availability…

The AI governance imperative you can’t afford to ignore

CIOs rushing to roll out AI agents without real visibility into their decision-making processes are flirting with disaster. According to AI experts, deploying agents without observability processes and tools creates a ticking time bomb with the potential for huge negative consequences. Many companies are deploying AI agents and expecting them to increase productivity with little…

Microsoft’s new cloud PCs place AI agents under enterprise controls

Microsoft’s Windows 365 for Agents, a cloud PC platform for agentic workloads, runs AI agents in secure environments. Organizations can direct agents with natural language to interact with applications, browsers, files, and enterprise systems. The platform is available in public preview. A conceptual computer-using agent architecture. (Source: Microsoft) Users will be able to automate workflows…

Companies built AI into core systems before figuring out how to govern it

70% of organizations use GenAI in live environments, and 64% have AI agents in pilot or production deployments. Some of those agents have privileged access to core systems, according to Check Point’s 2026 Cloud Security Report. Confirmed and suspected AI incidents (Source: Check Point) Production AI expands the enterprise attack surface Security architectures built around…

AI security needs a shift from models to systems, researchers argue

Enterprises cannot secure AI agents by making the underlying models more robust and must instead enforce security controls at the system level around them, researchers behind a paper published this month argued, warning that traditional AI-security approaches are increasingly misaligned with how autonomous agents actually operate inside enterprise environments. The paper argues that enterprises should…

Your AI Agent Doesn’t Care About Your Controls

This is Part 1 of a 2-part series on AI agents and control assurance.  Read Part 2: Controlling AI Agents: Why Detection Is Too Late The cybersecurity industry has spent years investing in visibility. Dashboards have improved, detection tooling has matured, and the volume of telemetry available to security teams has increased significantly. Most organisations…

Why Policy in Amazon Bedrock AgentCore chose Cedar for securing agentic workflows

Agents have agency: they adapt and find multiple ways to solve problems. This autonomy creates a fundamental security challenge: the large language model (LLM) at the heart of the agent is non-deterministic, and its decisions can’t be predicted or guaranteed in advance. It can hallucinate harmful actions with complete confidence. It’s vulnerable to prompt injection…

Agentic AI Security Risks Increase Governance Demands for MSPs

BYOD was a headache. AI agents are an existential crisis. Advanced AI models pose a massive security and governance challenge for the channel, forcing managed service providers (MSPs) and tech partners to rethink how they protect corporate data. Agentic AI adoption exposes governance gaps The shift from passive, generative AI chatbots to fully autonomous agents…

ArmorCode gives security teams AI workers for exposure and remediation

ArmorCode has announced Anya Agents, a new agentic AI framework delivered on the patented ArmorCode Agentic AI Platform that enables organizations to operationalize AI-driven security workflows at enterprise scale. Built on ArmorCode’s Context Risk Graph, Anya Agents help security teams move beyond generic AI assistants by turning unified security and business context into purpose-built AI…

MY TAKE: AI agents force a rethink of enterprise service lines as vendors move up the tech tack

ORLANDO — Companies are pulling AI agents into their daily operations through a dozen side doors. Related: SaaS and AI agents converge One of them was in focus at KB4-CON, KnowBe4’s annual customer conference at the Marriott World Center here last week. The Clearwater, Fla.-based cybersecurity training vendor used the conference to lay out a…

AI coding is fueling a secrets-sprawl crisis few CISOs are containing

When Matt Schlicht built Moltbook, the social network where AI agents talk to one another, he didn’t write the code himself. He “just had a vision,” and vibe-coded it. The social network launched on Jan. 28, 2026, and within days, security researchers started to see serious security flaws. ​Experts at cloud security company Wiz and,…

NVIDIA NemoClaw Research Highlights AI Sandbox Exfiltration Risks

Researchers at Lasso have found that sandboxing autonomous AI agents may not be enough to stop sensitive data theft after demonstrating multiple exfiltration techniques against NVIDIA’s NemoClaw and OpenShell environments.  The findings show how attackers can abuse trusted tools and approved outbound connections to quietly steal credentials, manipulate agent behavior, and maintain persistence inside AI…

Flaw in Claude’s Chrome extension allowed ‘any’ other plugin to hijack victims’ AI

As businesses and governments turn to AI agents to access the internet and perform higher-level tasks, researchers continue to find serious flaws in large language models that can be exploited by bad actors. The latest discovery comes from browser security firm LayerX, involving a bug in the Chrome extension for Anthropic’s Claude AI model that…

Extreme Networks introduces Agent ONE for autonomous enterprise networking

Extreme Networks has introduced Extreme Agent ONE, a new class of AI agents for enterprise networking. Moving beyond generic, prompt-based AI, Extreme Agent ONE runs on the Extreme AI stack purpose-built for enterprise environments, which combines advanced AI reasoning, live network context, and operational expertise to transform enterprise networks into systems that detect, decide, and…

Poisoned truth: The quiet security threat inside enterprise AI

As enterprises rush to deploy internal LLMs, AI copilots, and autonomous agents, most security conversations focus on familiar threats: prompt injection, jailbreaks, model abuse, and data exfiltration. But some security leaders argue a quieter risk deserves far more attention: what happens when the model’s understanding of reality itself becomes corrupted. This problem is broadly described…

Introducing AI traffic analysis dashboards for AWS WAF

As AI agents, bots, and programmatic access become an increasingly significant portion of web traffic, organizations need better tools to understand, analyze, and manage this activity. Today, we’re excited to announce AI Traffic Analysis dashboards for AWS WAF protection packs—also known as web access control lists (web ACLs)—providing comprehensive visibility into AI bot and agent…

Microsoft, Google push AI agent governance into enterprise IT mainstream

Microsoft and Google are adding new controls for AI agents, as enterprise IT teams try to keep up with tools that can access corporate data and act across business applications. Microsoft’s Agent 365, made generally available for commercial customers on May 1, is designed to help organizations discover, govern, and secure AI agents, including those…

One in four MCP servers opens AI agent security to code execution risk

Enterprise deployments of AI agents lean on two extension mechanisms that introduce risk at different layers of the stack. MCP servers expose deterministic code functions with structured, loggable invocations. Skills load textual instruction sets directly into a model’s reasoning context, where their effect depends on conversational state and cannot be enumerated the way source code…

Pipelock: Open-source AI agent firewall

AI coding agents run with shell access, environment variables containing API keys, and unrestricted internet connectivity, creating a single point of failure where one compromised tool call can leak credentials to an attacker-controlled domain. Pipelock, an open-source security harness developed by Joshua Waldrep under the PipeLab project, addresses this exposure by inserting an enforcement layer…

SHARED INTEL Q&A: PKI’s unfinished business—’digital passports’ for content, models and agents

As if keeping track of machine identities wasn’t hard enough. AI agents are now arriving by the thousands — and most enterprises are just handing them borrowed credentials and hoping for the best. Meanwhile, the cryptographic infrastructure asked to absorb these threats faces a hard regulatory countdown requiring digital certificates — the credentials securing every…

GitLab Deepens Integration with Anthropic’s Claude Models to Accelerate Secure Software Development

COMPANY NEWS:  AI agents in GitLab Duo Agent Platform can now call Anthropic’s newest Claude models, with every action governed by GitLab’s existing compliance, audit, and policy framework; no separate governance layer required. Enterprises can access Claude models, including the newly released Claude Opus 4.7, through GitLab via Google Cloud and AWS Bedrock to route…

Securing RAG pipelines in enterprise SaaS

In the enterprise SaaS space, AI agents are becoming an integral part of the SaaS product. To make these intelligent agents truly useful, they need contextual, customer-specific knowledge, something standard Large Language Models (LLMs), open source or otherwise, inherently lack since they are not trained on customer proprietary data. Retrieval-Augmented Generation (RAG) is the bridge…

Microsoft Patches Entra ID Role Flaw That Enabled Service Principal Takeover

An administrative role meant for artificial intelligence (AI) agents within Microsoft Entra ID could enable privilege escalation and identity takeover attacks, according to new findings from Silverfort. Agent ID Administrator is a privileged built-in role introduced by Microsoft as part of its agent identity platform to handle all aspects of an AI agent’s identity lifecycle…

Microsoft patched an ‘agent-only’ role that was not

An administrative role meant for AI agents within Microsoft’s Entra ID ecosystem could allow privilege escalation and tenant takeover attacks, as it had privileges over more than agent-related objects. Researchers at Silverfort found that users assigned to Microsoft’s “Agent ID Administrator” role, scoped to agent-related objects like blueprints and agent identities, could take ownership of…

Adobe bets on AI agents to stay at the center of marketing workflows

Adobe is rolling out autonomous agents to orchestrate work across its applications, a move that will reinforce its position at the core of content and marketing workflows as AI disrupts the software landscape, analysts say. “We’re living at true inflection point; a moment where creativity and marketing are being reshaped by AI, unlocking incredible new…

Scenario: Open-source framework for automated AI app red-teaming

Enterprises running customer service bots, data analytics agents, and other AI-driven applications in production handle sensitive records and connect to core business systems every day. LangWatch has released Scenario, an open-source framework that runs automated red-team exercises against AI agents using multi-turn attack techniques that mirror how adversaries operate in the wild. Multi-turn attacks replace…

Toxic Combinations: When Cross-App Permissions Stack into Risk

On January 31, 2026, researchers disclosed that Moltbook, a social network built for AI agents, had left its database wide open, exposing 35,000 email addresses and 1.5 million agent API tokens across 770,000 active agents. The more worrying part sat inside the private messages. Some of those conversations held plaintext third-party credentials, including OpenAI API…

Copilot and Agentforce fall to form-based prompt injection tricks

Enterprise AI agents are supposed to streamline workflows. Instead, two fresh findings show they can just as easily streamline data exfiltration. Security researchers have uncovered prompt-injection vulnerabilities in both Microsoft Copilot Studio and Salesforce Agentforce that allow attackers to execute malicious instructions via seemingly harmless prompts. According to Capsule Security findings, SharePoint forms and public-facing…

Secure AI agent access patterns to AWS resources using Model Context Protocol

AI agents and coding assistants interact with AWS resources through the Model Context Protocol (MCP). Unlike traditional applications with deterministic code paths, agents reason dynamically, choosing different tools or accessing different data depending on context. You must assume an agent can do anything within its granted entitlements, whether OAuth scopes, API keys, or AWS Identity…

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

COMPANY NEWS: AI agents in GitLab Duo Agent Platform can now call foundation models through Vertex AI, including Gemini models, with agent actions governed by GitLab’s built-in compliance and audit controls. Organisations can run GitLab’s AI Gateway on Google Cloud with no separate AI infrastructure to provision or manage. Customers with Google Cloud commitments can…

DataVisor brings conversational AI agents to fraud and AML operations

DataVisor has announced Vera, a suite of conversational AI agents designed to combat financial crime. Vera enables institutions to manage risk using natural language, allowing teams to issue instructions that AI agents execute across the fraud and AML lifecycle. By reducing manual workflows, the platform supports a more efficient and adaptive operating model for modern…

29 million leaked secrets in 2025: Why AI agents credentials are out of control

AI agents need credentials to work. They authenticate with LLM platforms, connect to databases, call SaaS APIs, access cloud resources, and orchestrate across dozens of external services. Every integration point requires an identity. Most organizations are handling this badly, and the evidence is in the code. GitGuardian’s State of Secrets Sprawl Report found 28,649,024 new…

Claude Managed Agents bring execution and control to AI agent workflows

Anthropic’s Claude Managed Agents are a suite of composable APIs for building and deploying cloud-hosted agents at scale, handling sandboxed code execution, checkpointing, credential management, scoped permissions, and end-to-end tracing for you. Developers can define tasks, tools, and permissions within a managed environment, while the platform handles execution and state management. The product is currently…

API Security Risks Rise as AI Adoption Accelerates

As organizations deploy autonomous agents and generative AI tools at scale, APIs have become a backbone of modern operations — introducing a growing attack surface. Enterprises are rapidly embracing AI and API-driven architectures, but a new report from Salt Security reveals that security is struggling to keep up. “The future of AI will not be…

Cynomi Launches AI Agents to Give Every MSP a vCISO Team

Cynomi is expanding its Security Growth Platform today with a new suite of AI Agents built specifically for managed service providers (MSPs), managed security service providers (MSSPs), and virtual CISO (vCISO) practices. The company is calling the launch an extension of what it describes as its “CISO Intelligence” infrastructure; essentially, the idea that the strategic…

Microsoft releases open-source toolkit to govern autonomous AI agents

AI agents can book travel, execute financial transactions, write and run code, and manage infrastructure without human intervention at each step. Frameworks like LangChain, AutoGen, CrewAI, and Azure AI Foundry Agent Service have made this kind of autonomy straightforward to deploy. The governance infrastructure to match that autonomy has lagged behind. Microsoft released the Agent…

Asana’s chief product officer: Why enterprise AI agents should be ‘multiplayer by design’

As AI agents become more embedded in workplace tools, Asana is positioning its approach around collaboration rather than individual productivity. “We believe in AI being ‘multiplayer’ by design,” said chief product officer Arnab Bose. “The future of the agentic enterprise will only be realized if agents can work independently and with multiple people, versus just…

OpenAI patches twin leaks as Codex slips and ChatGPT spills

OpenAI has fixed two flaws in its AI stack that could allow AI agents to move sensitive data in unintended ways. The issues, disclosed by researchers at BeyondTrust and Check Point Research, affect the OpenAI Codex coding agent and ChatGPT’s code execution environment, respectively. One enabled GitHub token theft through command injection, while the other…