CREDALUME / AI AGENT ASSURANCE

AI Agent Assurance

Evidence-grounded assessment of AI-agent authority boundaries, sensitive actions, execution controls and auditability.

Why assurance?

Policy documents describe intent; controlled tests reveal how an agent behaves under agreed conditions.

Scope matters

We report exactly what was tested, what evidence supports it, and what remains unknown.

Action-focused controls

Identity, delegation, approvals, tool access, sandbox boundaries and execution traceability.

Decision-ready output

Findings, confidence, remediation priorities and explicit retest criteria.

Validate an actual authority boundary.

Agree a bounded scenario, then review evidence-backed findings and remediation priorities.

Request the €690 founding pilot