Every Agent Action. Authorized in Real Time.
Intent-based authorization that evaluates every agent action at the moment of execution and returns one of three verdicts: Allow, Require approval, or Deny. Deterministic, against formal, versioned policy, with no language model in the trust path.
Request a DemoThe Authorization Gap
Traditional IAM was built for humans logging in. AI agents operate differently: autonomously, continuously, and at machine speed.
Static Access, Autonomous Actions
Traditional IAM grants access at the identity level. But AI agents make thousands of autonomous decisions per minute. Static roles cannot govern what an agent decides to do within its granted permissions.
Over-Privileged Agents
Most AI agents are granted broad access because nobody can predict exactly what they will need. The result: agents with far more privilege than any task requires.
Invisible Delegation
When an agent acts on behalf of a user, or one agent delegates to another, the authorization chain is invisible. You cannot trace who authorized what, or why.
How It Works
Authorization reimagined for autonomous agents. Intent-aware, context-aware, and enforced in real time.
Intent-Based Authorization
Agents declare what they intend to do and why. Authorization decisions evaluate intent, context, and risk, not just identity. The right access for the right action at the right time.
Scoped, Time-Bound Authority
Access grants are explicit, narrowly scoped, and automatically expire. No standing privileges. Every grant has a defined purpose, boundary, and time-to-live.
Delegation With Strict-Subset Attenuation
When an agent delegates to another, the child receives a strict subset of the parent’s authority. Any attempt to widen scope is denied before the action runs, and the full delegation chain is preserved and verifiable at every link.
Execution Sessions
Every agent operation runs within a governed session with defined boundaries, permissions, and automatic cleanup. Sessions scope what an agent can access during a specific task.
Key Outcomes
Grounded in Governance Principles
Every capability traces back to the 12 non-negotiable principles for Agent Runtime Governance.
Common questions
What decisions can Beacon return for an agent action?
Allow, Require approval, or Deny. Each action is evaluated at the moment of execution against formal, versioned policy, deterministically, with no language model in the trust path.
What is strict-subset attenuation?
When one agent delegates to another, the child receives a strict subset of the parent’s authority. Any attempt to widen scope is denied before the action runs, and the full delegation chain is preserved and verifiable at every link.
How does Beacon remove standing privileges from AI agents?
Access grants are explicit, narrowly scoped and expire automatically, and every grant has a defined purpose, boundary and time to live. Each agent operation runs in a governed session that scopes what the agent can access during that task and cleans up when it ends.
No More Blank Checks for AI Agents.
Every action authorized. Every decision justified. Every delegation tracked.
Request a Demo