Policy gateway for AI agent write actions. Control writes into CRM and ticketing systems, with human approvals and audit-ready signed receipts.
The problem
Without a gateway, agents write directly to production systems. No policy. No approval. No receipt. No proof.
AI agents execute write operations directly against production systems. No policy evaluation. No human oversight. No audit trail.
High-value transactions, sensitive data modifications, and irreversible actions happen without visibility into what agents are doing.
When regulators ask for proof of authorization and decision lineage, there's no cryptographic evidence to provide.
The solution
A policy-first gateway that turns agent intent into controlled, auditable actions. Every write is evaluated, authorized, and receipted.
Every request is tied to a verifiable agent_id and instance_id. Track which agent instance made each request.
Versioned policy rules run before every write. Action match, resource patterns, deny fields, thresholds.
High-risk actions are routed to your Slack channel. Approve or deny with one click.
HMAC-SHA256 signed, append-only receipt for every decision. Tamper-evident audit log.
Allowed actions execute via configurable HTTP connector. Response hashes stored on receipts.
Verify any receipt cryptographically. Prove what happened, when, and who approved it.
How it works
The dashboard
Real-time visibility into every agent write, policy decision, and approval across your organization.
Blog
Product updates, engineering notes, and policy patterns from the Relynt team.
Traditional IAM was designed for humans and services—not semi-autonomous agents that compile intent into writes across many systems. Here's where IAM fails and what an agent-native control plane must add.
If your AI agents can write into real systems, the hard part is making those writes safe, reviewable, and provable. Signed action receipts turn 'agent writes happened' into audit-ready evidence.
Approvals are the fastest way to make agent writes safe—and the fastest way to make agents useless. Here's how to gate what matters, present clear decisions, and avoid approval fatigue.
FAQ
Everything you need to know about how Relynt governs AI agent write actions.
Relynt is a gateway that controls AI agent write actions. Agents send writes to Relynt instead of calling your CRM, ticketing system, or internal APIs directly. Relynt enforces policy, routes high-risk changes for Slack approval, and records a signed receipt for every attempt.
You add a small call at the point where your agent performs a write. Instead of calling the tool API directly, your agent calls the Relynt gateway with an action, resource, and payload. Relynt returns allow, deny, or pending approval.
No. Relynt is framework-agnostic. It sits at the tool execution boundary and works with any agent or workflow system that can make an HTTP request.
When a request is high risk, Relynt sends an approval message to your configured Slack channel with the details and Approve or Deny buttons. If approved, Relynt executes the write. If denied, the write is blocked and the agent receives the decision.
A signed receipt is an append-only record of an attempted action. It includes the agent and instance, what was attempted, the policy version used, the decision, the approver when relevant, and hashes of the request and response so the record is tamper-evident.
We start with CRM and ticketing write actions because they are high frequency and high impact. The gateway model extends to any internal API or system of record that agents can write to.
Relynt stores policy configuration, approval decisions, and receipts. Receipts can be configured to store hashes only for sensitive fields, so you can prove what happened without storing raw payloads.
If a policy requires approval and Slack is not configured, Relynt blocks the request and returns a clear error. You can still allow low-risk actions that do not require approvals.
Policy-driven authorization, optional human approval in Slack, and a signed receipt for every decision. Get the gateway your AI agents need.