Currently in private beta

The AI agents in your environment have no audit trail. And no policy.

Oculi gives security leaders visibility into every action their AI agents take — and enforces the policies they must follow. Before the incident, not after.

Security leader running AI agents in production? Talk to the founder →

Continuous oversight

AI Agent Activity

  • Customer record access
    Allowed
  • Internal service call
    Allowed
  • Production change
    Requires approval
  • Customer data export
    Blocked by policy

Policy · customer-data-egress

Block any agent attempt to send customer data outside approved destinations.

How it works

Three things, continuously.

Visibility, policy, and audit for the AI agents operating across your organization.

01

See what your AI agents are doing

Every action your AI agents take, captured with full context. A continuous, queryable record across every environment they operate in.

02

Define the policies they must follow

Express what AI agents are and aren't allowed to do as version-controlled policy. Tune it to your organization's risk posture.

03

Enforce and audit continuously

Policies apply in real time. Every decision is logged with full context for security reviews, compliance, and incident response.

Why now

The gap is already open.

AI agents are being deployed into production environments faster than security teams can govern them. Most organizations have no audit trail for what these agents do, and no enforceable policy on what they're allowed to do. The longer that gap stays open, the worse the incident is going to be when it forces the conversation.

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Audit and policy enforcement for AI agents in production. We'll email you when access opens for design partners.

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