AI security is built on identity and access, and should be part of a company's identity program, not treated as an exception managed in yet another siloed tool.
We provide a unified approach to security across human, machine, and AI identities via the BeyondTrust Pathfinder Platform. Benefit from a seamless control plane spanning AI identity risk visibility and prioritization, to security posture hardening, and threat mitigation.
BeyondTrust unites deep identity visibility and intelligence with the controls to enforce least privilege across agentic AI workloads and automation—and everywhere else—all on one platform. Apply zero trust principles to all identities, whether human, NHI, or AI.
Clearly visualize, assess, and prioritize AI-based vulnerabilities in isolation, and in the context of your overall identity security posture.
Detect "shadow AI", so it can be onboarded or blocked.
Gain unparalleled understanding of privilege-related risk and activity, escalation paths, and the potential blast radius of an attack.
Resolve risks by managing AI identities, secrets, and permissions with our Pathfinder Platform.
Our AI assistant and identity expert, Pathfinder Intelligence, is built into our platform.
Benefit from real-time insights and guidance.
Accelerate informed decision-making using the power of the Pathfinder True Privilege™ graph.
Proactively reduce risk and manage access with integrated BeyondTrust controls.
The BeyondTrust Pathfinder Model Context Protocol (MCP) server enables Pathfinder Intelligence and other AI agents to orchestrate privilege-safe actions, such as:
Determining the impact of a compromised account via Identity Security Insights® data.
Removing standing privileges and implementing JIT access with Entitle.
Rotating credentials with Password Safe®.
Initiating a secure remote access session with Privileged Remote Access.
"Adopting Identity Security Insights® was a particularly eye-opening experience for us... We discovered multiple over-provisioned identities and service accounts… This level of visibility is important as we enter the new world of agentic AI. Identity Security Insights gives us the ability to prioritize and reduce the most critical risks in our environment—for both human and machine identities."
—Harrison Gibbs, Team Lead for Platforms and Automations, ivision
"The interactions between the products in the [BeyondTrust] suite have been brilliantly and carefully orchestrated in a way that we are maximizing our chance of getting as far down the Zero Trust road as we possibly can given the state of the products in the security market."
—Brandon Haberfield, Global Head of Platform Security, Investec
Contact us now to learn how we can address your use cases, or to see a demo, start a trial, or get pricing.
An AI agent is a software-based, virtual worker that can autonomously take initiative, make decisions, and perform tasks with minimal human intervention.
AI agents are more sophisticated than traditional software-powered bots, and can make decisions—with little to no human intervention—based on context and goals. They may be able to understand and process natural language, analyze large amounts of data, and interact with many other systems and users.
Agentic AI refers to autonomous systems using AI agents that are capable of reasoning, decision-making, and taking actions without constant human input.
AI agents are proliferating and often suffer from poor security hygiene and governance. For instance, they commonly have excess privileges or access that can lead to data exposure or other major security incidents, especially if exploited by a threat actor. AI agent secrets may also be weak, or exposed, such as embedded in code.
In addition, organizations face the risks of shadow AI, which refers to AI usage, including deployment of agents by knowledge workers, outside the centralized purview and governance of IT.
The explosive growth of agents is multiplying the attack surface for enterprises.
MCP stands for Model Context Protocol — a new open standard created to let AI models (like agentic AI systems) interact with external tools, APIs, and data sources in a safe and structured way.
An MCP server is essentially the "backend service" that:
Hosts capabilities, data, or tools an AI agent can call.
Follows the MCP specification so that the AI (client) knows exactly how to interact with it.
Acts as a controlled bridge between the AI agent and external systems (databases, apps, cloud services, etc.).
Think of it as the secured plug-in layer: the AI doesn’t just blindly call any API—it only communicates with MCP-compliant servers that expose safe, predefined functions.
Securing agentic AI requires extending privileged identity security best practices and zero trust principles to the AI domain. This means:
Gaining total visibility of all AI -based identities (including shadow AI), their entitlements, privileges, secrets, and activity.
Gaining 360 visibility of the potential escalation paths of all AI identities and workflows
Onboarding AI agents for proper management and governance
Securing and managing secrets for AI agents
Applying the principle of least privilege across AI identities and workflows
Ensuring rapid response to AI-based risks, such as proactive identity hardening, implementing a JIT access model, or disruption of in-progress attacks (such as by revoking secrets, pausing/terminating sessions, etc.)
To learn more about the first generally available agentic AI security solution, contact BeyondTrust or watch this explainer video.
Yes. BeyondTrust provides an award-winning Identity Security Risk Assessment at no-cost. It provides a powerful way for enterprises to visualize and understand their identity security posture, including AI-based risks. The assessment provides a holistic understanding of all identities—human, machine, and AI, and also illuminates their hidden and indirect escalation paths.
