reeve

The system of record for AI agents.

Reeve gives security and compliance teams the controls they need to say yes to AI agents in production, instead of slowing them down.

reality

88%

of organizations had confirmed or suspected AI agent security incidents this year.

visibility

3.9%

of organizations actively monitor more than 80% of their AI agent fleet.

cost

$670K

average extra cost of a shadow AI incident vs. a standard security incident.

Request access → See what Reeve does ↓

What Reeve does, in three parts.

01 / Identity

Every agent, attributable.

Each agent gets a verifiable identity tied to the human or system that deployed it. Know which agent acted, on whose behalf, and with what authority.

02 / Authorization

Every action, evaluated.

Define what each agent can read, write, and call by tool, resource, or scope. Reeve evaluates every action and flags violations in real time.

03 / Audit

Every decision, recorded.

Append-only logs of every agent decision, structured for SOC 2, ISO 27001, and EU AI Act evidence. Compliance-ready by default.

Reeve is built for.

Security leaders who need to know what every AI agent in production is doing, on whose authority, and with what scope.

Compliance and risk leaders who need an audit record they can defend to internal review, external auditors, and regulators.

Platform and engineering leaders who need to enforce permissions consistently across LangChain, MCP, CrewAI, and whatever framework gets adopted next.

If you're deploying AI agents, let's talk.

Reeve is in private alpha with a small number of design partners. If you're a security, compliance, or platform leader at a company running AI agents in production, we want to hear what's actually broken on your side.

hello@reeveplatform.com ↗