AI agents and coding tools
An agent that can call tools can delete a database, push a migration, or exfiltrate a key — and it does it in milliseconds, with no human in the loop to catch it. Put a deterministic check on the tool-call boundary so the agent has to ask before it acts.
The specific actions teams tell us they are afraid of. Each one is a decision that happens faster than a human can review it.
One deterministic check between the intent and the effect — ALLOW, ESCALATE or BLOCK, with a signed record either way.
The same five steps every time. Nothing else on this page competes for your attention.
Run the policy against a realistic action in the browser. Push it past what the rules allow and watch the verdict come back. No account.
See exactly what was decided and why: the rule that fired, the evidence it read, the policy version in force, and an Ed25519 signature you can verify yourself.
Measure what the policy would have caught on your own traffic without touching the live path. Every recipe defaults to shadow, so the first deployment carries no execution risk.
Point the same policy at the system where the action actually originates — a checkout, an ERP posting, a Zap, an agent's tool call.
Publish the proof: a public verification link, an embeddable badge, a PR comment, or an anonymized shadow-mode finding. This is how the next person discovers Decionis.