Govern what AI coworkers and agents are allowed to do before they act, across every AI tool, on every endpoint. Enforce least privilege and least agency at each step.
"We are not a privileged access company adding AI. We are the company that has long defined how to govern privileged action, and the most powerful actor on the endpoint is no longer human. For twenty years that actor was a person with admin rights, and we built the category for governing them. The actor changed. Our job did not."
—Marc Maiffret, CTO, BeyondTrust
AI agents don't introduce new permissions—they weaponize the ones already there, exposing gaps traditional security tools were never designed to close.
Agents launch with access to the same credentials as the user—cloud provider keys, SSH keys, SSO tokens, and repository access—with no scoping, least-privilege enforcement, or expiration.
AI agents communicate dynamically with external APIs and MCP servers, extending their blast radius well beyond the endpoint. Data and commands can flow outbound with no visibility or approval gate.
A single flag can disable an AI tool's built-in safety controls. Vendor policy enforcement is fragmented tool by tool, leaving no consistent governance layer across your AI environment.
Security teams can't reliably discern AI-initiated activity from human actions. Legacy tools see only normal-looking API calls, leaving no reliable signal for detection or response. Meanwhile, AI agents are running in your environment whether IT approved them or not.
We believe organizations should be able to embrace AI productivity without becoming exposed to the unintended risks of delegated permissions. AI Agent Security builds on BeyondTrust's market-leading Endpoint Privilege Management and 20 years of privilege-centric identity security for thousands of customers. This new offering delivers three layers of critical AI governance capabilities, helping secure your AI Coworkers across Windows, macOS, Linux, and containers.
With BeyondTrust, know which AI agents are running on every endpoint, including unsanctioned shadow AI. Our AI Agent Security product maps full execution chains across the environment, tracing each action to its source and identifying whether it was initiated by a human or an AI agent—giving security teams the context to confidently enforce downstream controls. Nothing hidden. Nothing untraceable.
Only approved AI agents are allowed to execute. Everything else is blocked. Enforce least-privilege access across credentials and files, restrict destructive commands, and control MCP and API connections. Require human-in-the-loop approval—even when agents operate autonomously or native guardrails are disabled.
AI coworkers are fragmented by design—your controls shouldn’t be. AI Agent Security provides vendor-agnostic governance across Claude Code, GitHub Copilot, Cursor, and other agentic frameworks, ensuring no AI agent operates outside defined policy, regardless of how it’s deployed.
The BeyondTrust Pathfinder Platform unites our best of breed security solutions (including AI Agent Security) under a single console, delivering a streamlined experience that enhances operational agility, while also bringing shared, intelligent context across all our products to unlock powerful synergies. With our integrated Pathfinder platform, customers can benefit from the broad and deep capabilities reflected in our multicategory identity security leadership, and leverage the fastest time-to-value via a unified approach to manage their entire identity attack surface.
With BeyondTrust, know which AI agents are running on every endpoint, including unsanctioned shadow AI. Our AI Agent Security product maps full execution chains across the environment, tracing each action to its source and identifying whether it was initiated by a human or an AI agent—giving security teams the context to confidently enforce downstream controls. Nothing hidden. Nothing untraceable.
Only approved AI agents are allowed to execute. Everything else is blocked. Enforce least-privilege access across credentials and files, restrict destructive commands, and control MCP and API connections. Require human-in-the-loop approval—even when agents operate autonomously or native guardrails are disabled.
AI coworkers are fragmented by design—your controls shouldn’t be. AI Agent Security provides vendor-agnostic governance across Claude Code, GitHub Copilot, Cursor, and other agentic frameworks, ensuring no AI agent operates outside defined policy, regardless of how it’s deployed.
The BeyondTrust Pathfinder Platform unites our best of breed security solutions (including AI Agent Security) under a single console, delivering a streamlined experience that enhances operational agility, while also bringing shared, intelligent context across all our products to unlock powerful synergies. With our integrated Pathfinder platform, customers can benefit from the broad and deep capabilities reflected in our multicategory identity security leadership, and leverage the fastest time-to-value via a unified approach to manage their entire identity attack surface.
AI Agent Security is available as part of the Pathfinder Platform, and is offered in a limited private beta for select design partners, ahead of US general availability in Fall 2026.
Customers can request to be on the early access list by signing up on this page or through their BeyondTrust account team. As more information is available, we will be in touch with more details. We look forward to hearing from you and helping you secure your AI agents.
BeyondTrust AI Agent Security helps organizations discover AI coworkers and agents, attribute actions to humans or agents, and control what those agents can access or execute on endpoints. It's designed to restrict credential and file access, block risky commands, govern MCP and API connections, and require approval before sensitive actions run.
AI Agent Security controls agent behavior while the agent is actively running. Instead of waiting to detect harmful activity after it happens, runtime controls evaluate actions before execution, including process launches, file changes, credential access, external connections, and privileged commands.
AI Agent Security reduces endpoint and identity-based risks by limiting what AI agents can do inside a user security context. Because AI coworkers can inherit user permissions, reach local files, use credentials, and interact with external systems, endpoint-level controls help reduce the blast radius before risky actions occur.
Enterprises should look for AI agent security tools that provide shadow AI discovery, human and agent attribution, runtime privilege enforcement, credential protection, vendor-agnostic policy controls, and human-in-the-loop approval for high-risk actions across endpoints and AI tools.
