New White Paper: From Zero Trust to Agent Trust
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TELEPORT IDENTITY SECURITY FOR AI

Contain, audit, and control every agent

Give agents a cryptographic, continuously monitored identity. Identify collective and individual agent risk before action is taken. Go beyond deterministic controls to classify and constrain agents behavior.

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FROM ZERO TRUST TO AGENT TRUST

Every agent is an insider threat

Zero Trust must evolve for AI actors that fear no consequences, work at machine scale and speed, and will follow any path to achieve a goal.

Unseen Access Paths

Agents will use standing privileges, long-lived roles, and shared credentials to find paths that were never expected.

Impersonation

Agents often act with the exact credential, permissions, and roles as the human or agent that spawned them.

Creative and Relentless

Any policy that relies on deterrence is useless against a fleet of actors who only exist to complete tasks.

Distributed Kill-chain

Agents can take steps that, on their own, appear benign, but across instances combine to access sensitive data.

Teleport Identity Security for AI

Detect AI risk as it happens, and take action via Beams ephemeral, isolated runtimes

Beams Session Summaries

Agentic Classifiers

Risk Scoring

Beams Session Summaries

Capture what agents did and what they were thinking

See an AI agent's actions: its identity, privileges, tool and API calls, LLM prompts, responses, and reasoning digested into a short human readable summary of what it was doing and what it was thinking. Evaluate agent activity against its declared objective, not in isolation.

  • Capture and review every interactive action agents took to complete their goal - a complete play-by-play of tool calls and commands, in order.

  • Summarize every session into what matters - operations performed, security-relevant actions, and risk level. 

  • Capture the LLM conversation at the proxy level, with LLM audit for both mainstream coding harnesses like Claude Code, Codex, OpenCode and custom programs. 

  • Capture prompts and messages, to compare intent against action taken, with full context of each session, for both audit and control.

Session summary classifiers

Agentic Classifiers

Enforce security intent, even when actors try to bypass policy.

Create natural language policy for non-deterministic actors - humans, agents or groups of agents -  to flag behavior that is inconsistent with an agent's declared objective, and take appropriate action.

  • Identify when an LLM attempts to work around intended goals, such as using custom scripts when certain commands are prohibited

  • See when agents attempt to access denied resources, including public web destinations, and both internal and external APIs 

  • Take action with downstream events that can be used as a trigger to lock a user’s or agent’s actions. 

Risk Scoring

Quantify and score the potential impact of an agent's actions.

Apply risk analysis, based on the MITRE ATT&CK framework, to assess and assign risk level to AI sessions. Stop agent risk as it occurs, and immediately surface the sessions that warrant investigation or reporting, based on risk threshold.

  • Immediately identify sessions that actually resulted in real risk

  • Automate action based on risk severity, and automatically send to SIEM/SOC

  • Search across all sessions for specific commands, resources, or behaviors as needed.

Mitre att&ck framework risk analysis

See Identity Security for AI in Action

See how Teleport Beams and Identity Security for AI capture LLM sessions at the proxy level, to prove where agent action match and diverge from, intended behavior.

Frequently Asked Questions

What is Teleport Identity Security for AI?

Teleport Identity Security for AI continuously monitors Agents to detect and respond to misalignment as it happens, and to identify collective and individual risk before action is taken.

Teleport Identity Security for AI extends its strong foundation for human and bot users to AI. With unique additions such as knowing what the AI is thinking via our LLM Audit to classifying its actions against your custom policy.

Teleport Identity Security for AI is designed to be paired with Trusted Runtimes for https://beams.run or to be supported via the Teleport Agentic Identity Framework.  

Teleport Identity Security for AI tracks an agent's actions: its identity, privileges, tool and API calls, LLM prompts, responses, and reasoning, and then summarizes that into a short human readable summary of what that agent was doing, and what it was thinking. 

Yes, the output of Teleport Identity Security for AI provides your SOC team with complete end-to-end session recordings, and summary of agentic activity, to help investigate or respond to when an agent’s intent diverges from intended behavior.