Policy infrastructure for AI agents

Policy hooks, approvals, and audit trails for every AI agent action.

Embed Rulehook before or after any agent call to enforce policy, route risky actions for review, and generate audit-ready evidence automatically.

Request early access Learn how it works  →

Built for teams deploying AI agents in regulated environments.

POST  api.rulehook.com/v1/hooks/check
01 User Input
→
02 Rulehook Policy Check
→
03 Agent Action
→
04 Approval / Audit Log
REQUEST
{
  "agent": "support-copilot",
  "action": "tools.crm.read_account",
  "context": {
    "contains_mnpi": true
  }
}
RULEHOOK DECISION
{
  "decision": "review",
  "risk_score": 0.82,
  "policy": "block-mnpi-egress",
  "route_to": "compliance-queue",
  "evidence_id": "ev_8f21a0"
}
The problem

AI agents move fast. Regulated teams need control.

Agents can access sensitive data

Tool calls reach CRMs, databases, and internal systems holding PII and material non-public information.

Agents can take high-risk actions

Autonomous workflows can send messages, move money, or change records before a human ever sees them.

Compliance teams need proof, not promises

Auditors and security teams want defensible evidence of what was checked, decided, and approved — for every single action.

What Rulehook does

One API layer for policy, approvals, and evidence.

Policy checks before & after calls

Evaluate inputs, tool calls, and outputs against your policies on both sides of every agent call.

Risk scoring for actions & tool calls

Every action gets a risk score so low-risk work flows through and high-risk work gets stopped.

Human approval workflows

Route high-risk actions to the right reviewer and pause the agent until a human signs off.

Audit-ready logs for every decision

Immutable evidence of what was checked, scored, decided, and approved — exportable on demand.

How it works

Three lines to govern every agent.

01

Hook into agent calls

Wrap any agent or tool call with a single Rulehook check — before, after, or both.

02

Enforce policy in real time

Rulehook scores the action, applies your rules, and allows, blocks, or routes it for review.

03

Store evidence automatically

Every decision is logged as immutable, audit-ready evidence you can hand to compliance.

Governance

Enterprise-ready governance, built in.

Built to help teams deploy AI agents with confidence and accountability.

Real-time policy enforcement

Decisions land inline, in milliseconds, on every call.

Human-in-the-loop approvals

Pause risky actions and route them to the right reviewer.

Comprehensive audit trails

Immutable records of every check, score, and decision.

Compliance reporting

Generate evidence and reports auditors and security teams can rely on.

Use cases

Keep MNPI and regulated data out of your agents.

Help compliance organizations meet regulatory obligations and prevent material non-public information from being ingested into AI agents.

01

Financial services AI assistants

Block MNPI egress and enforce information barriers before an assistant ever responds.

02

Customer-facing agent communications

Screen outbound messages for compliance, disclosures, and prohibited content in real time.

03

Internal enterprise agents

Govern what internal agents can read and do across sensitive systems and data stores.

04

Agent tool-call governance

Apply allow-lists, risk scoring, and approvals to every tool an agent can invoke.

Early access

Building agents for regulated, security-focused products?

Tell us what you're building and we'll show you how Rulehook can help you ship safely.