AI agent assurance
AI agent assurance for decisions machines make on your behalf.
When an autonomous agent is about to act, ETOS GateKeeper answers one question deterministically: can this action be supported by authority, evidence and policy? If not, execution is not cleared.
Capabilities
What agent assurance provides.
Built for enterprise agent estates where a wrong action is expensive and an unexplainable action is worse.
Agent identity and registration
Agents are registered under an approved organisation with their own credentials, sharing one governed assurance pool.
Per-decision assurance
Each request is assessed on its own terms — authority, evidence, requirements — rather than trusted because the agent is trusted.
Deterministic outcomes
The agent receives a typed decision state and named unmet requirements, so downstream automation can branch on governance safely.
AI agent compliance record
Every completed assurance output carries an execution reference and a retained trail for audit and reporting.
Exactly-once metering
One completed governed output consumes one assurance credit. Blocked or failed executions consume nothing.
Controlled access
Enterprise agent access is granted, not self-served. ETOS does not sell favourable decisions.
Guarantees
Three things assurance will never do.
The same guarantees apply to agents as to people. Autonomy does not relax them.
No assumed authority
An agent's credentials do not constitute approval for the action it wants to take.
No invented evidence
Requirements are met by cited, current sources or reported unmet. Fluency is not evidence.
No silent gaps
Where the record cannot support the action, the agent is told so explicitly and no output is charged.
Related
Governance, assurance and access.
Start with the governance model, then request controlled enterprise agent access.
Request controlled agent assurance access.
Enterprise agent access is assessed and granted. Tell us the agents, the decisions they take, and the consequences of getting them wrong.