Ancros is a security layer between your AI agents and the tools they use. Before a sensitive action runs, it checks the action against your policy, then allows it, blocks it or sends it to a person for approval. Every decision is logged.
See how it works ↓Illustrative interface with sample data. A Finance Agent asks to export 8,421 customer records. Ancros checks identity, access and policy, holds the request for approval, then records the decision.
Here's what happens when an agent asks to export customer records.
The request goes to Ancros first, not straight to the database. Nothing has been exported yet.
Illustrative UI with sample data.
Ancros checks which agent is asking, which environment it's running in, and whether it has been given access to the customer database.
Illustrative UI with sample data.
The export is larger than the 1,000-record limit in your policy, so Ancros holds it instead of letting the agent carry on.
Illustrative UI with sample data.
The request is routed to Finance for approval. Routine actions keep running while this one waits for a decision.
Illustrative UI with sample data.
Once approved, Ancros lets the agent continue and records the request, policy checks, approver and final outcome in the audit log.
Illustrative UI with sample data.
Illustrative UI with sample data.
Match on the agent, the system it's touching, the type of action and the size of the request. Ancros checks the rules before the action runs.
Identity: example agent identified
Permissions: example access check passed
Rule not triggered: 142 records is below the 1,000-record limit.
Illustrative UI with sample data.
Point agent traffic at Ancros and it checks each action before it reaches the tool.
Examples shown. Named vendors are intentionally omitted until support is confirmed.
Pick one agent or workflow. Write the rules for what it may do, and require a person's approval for the actions that are too risky to run on their own.
Prefer email? hello@ancros.ai