Raxar
Governed execution for enterprise AI agents

Govern AI agent actions before they reach sensitive systems.

Raxar helps enterprise teams define, review, and audit what autonomous agents are allowed to do across identity, SaaS, cloud, and IT workflows.

Built for teams that need AI automation with policy controls, approval workflows, and evidence-backed auditability.

Decision trace
Hold for approval
  1. Intent received

    Captured

    Agent proposes a sensitive workflow.

  2. Policy evaluated

    Passed

    Allowed scope confirmed.

  3. Approval required

    Review required

    Human review for high-impact action.

  4. Evidence captured

    Retained

    Context and authorization retained.

  5. Governed action

    Held

    Execution proceeds only after policy and review conditions are met.

A high-level trace of how Raxar turns autonomous action into governed execution.

The gap

AI agents are moving faster than enterprise controls.

Autonomous agents can now read context, call tools, update tickets, change access, trigger cloud actions, and operate across business-critical systems. Traditional approval and audit processes were not designed for software that can reason, plan, and act across many tools in one workflow.

  • Sensitive actions need clear policy boundaries before execution.

  • Human approval should be required when business risk is high.

  • Security teams need evidence of what happened, why it happened, and who authorized it.

  • Enterprises need agent automation without losing control over identity, data, and operational systems.

The decision trace

From agent intent to governed action.

Raxar creates a decision trail around sensitive agent workflows, helping teams understand the proposed action, the policy boundary, the approval requirement, and the evidence retained for audit.

Intent-aware controls

Review agent actions in the context of the workflow they are trying to complete.

Policy boundaries

Define which actions can proceed automatically and which require review.

Approval checkpoints

Pause high-impact operations until the right reviewer authorizes them.

Evidence trails

Retain the context needed to explain what happened and why.

Early access

Building secure autonomy for enterprise teams.

Raxar is in early development with a focus on security-sensitive enterprise workflows. We are speaking with teams evaluating how to safely adopt AI agents in IT, security, identity, and cloud operations.

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