$4.99M is the average cost of a data breach in 2026
> Cloud Security Alliance, April 2026, 418 IT and security professionals surveyed.
Enforce your own policy on every AI action
Coco checks each AI agent action against your policy and what is true in your systems at runtime, then blocks the ones your rules would not approve.
Talk to usAI Agents are in production
Oversight is not
63% of enterprises have no real-time visibility into agent actions
> We build tools that help teams connect the dots between operations, impact, and accountability.
11 days — average time to detect an unauthorized agent action in production
> We support real-world momentum-helping organizations move from ambition to measurable change.
An independent governance layer for your AI agents
Scope
Every action Coco checks is chosen by you
Define
Every rule is managed by risk owners
Enforce
Every action your agents take gets a verdict
Evaluate
Every outcome is evaluated at runtime
How Coco works
Auto-Execute
The action matches your policy and the state checks out. It proceeds, and the verdict is recorded with what it was checked against.
Observe
The proposed action is permitted to proceed but is flagged for monitoring; the action executes while a structured observation is logged for subsequent review.
Escalate
The action needs a human: it crosses a value threshold, hits a risk limit, or lacks a sign-off. It holds and routes to the person who owns that call, with the full context attached.
Deny
The action breaks policy, or the state it depends on is not what the agent assumed. It stops before it executes, and the agent receives the reason.
Auto-Execute
The action matches your policy and the state checks out. It proceeds, and the verdict is recorded with what it was checked against.
Observe
The proposed action is permitted to proceed but is flagged for monitoring; the action executes while a structured observation is logged for subsequent review.
Escalate
The action needs a human: it crosses a value threshold, hits a risk limit, or lacks a sign-off. It holds and routes to the person who owns that call, with the full context attached.
Deny
The action breaks policy, or the state it depends on is not what the agent assumed. It stops before it executes, and the agent receives the reason.
Teams Using Coco
Know-Your-Customer Agentic AI
Coco provides the inline policy layer that intercepts AI agent actions in real time, verifying every identity and document check against company guidelines before a KYC case clears.
Agentic Payments
Coco holds a payee change against the verification window, catching what changed before the transfer executes to eliminate manipulation.
Agentic AML Detection
Coco intercepts attempts to alter risk parameters, automatically routing policy variations and rule suppressions to the designated rule owner for approval.
Agentic Fraud Prevention
Coco verifies asset and account locks in real time, preventing a secondary identity from taking action before the initial security state is resolved.
Why Coco?
Built to prove it, not just promise it. Coco is built for the workflows where a wrong call has the highest cost, and every decision has to hold up to a regulator, not just a demo.
Built for regulated, high stakes workflows first.
Starting inside financial institutions, in KYC, AML and fraud, where a wrong call gets a regulator asking questions the same day.
The policy lives outside the agent.
An agent enforcing its own rules is an agent auditing itself. Coco's checks are owned by whoever owns the risk.
Every verdict is provable.
AUTO-EXECUTE, OBSERVE, ESCALATE, or DENY recorded with the state it was checked against, ready before anyone has to ask.
No changes to how agents are built.
Connect Coco once and every action from that point is covered, without touching how the agent itself works.
