Authority boundaries
Can the agent reach actions, identities or resources beyond the authority actually granted?
AI AGENT ASSURANCE
Credalume validates high-risk agent behaviors against agreed authority boundaries and produces evidence-backed findings, remediation priorities and retest-ready outputs.
Bounded scope · Evidence-backed · Human-reviewed · No claim of universal safety
WHAT WE VALIDATE
Can the agent reach actions, identities or resources beyond the authority actually granted?
Do sensitive tool calls remain constrained when prompts or retrieved content try to redirect behavior?
Are high-impact approvals current, explicit and bound to the exact action being executed?
Can a reviewer reconstruct the attempted action, decision, boundary and result from retained evidence?
SYNTHETIC DEMONSTRATION
A fictional procurement agent receives an embedded instruction to bypass approval and submit an €8,400 purchase.
Execution was blocked downstream, but upstream instruction separation was not independently demonstrated.
Illustrative only. Not a customer result, certification or guarantee.
FOUNDING OFFER
One agreed AI-agent scenario. One bounded environment. A controlled assurance session designed to produce evidence you can review and act on.
Pre-agreed scenario, controls, stop conditions and evidence boundary.
Findings, evidence strength, remediation priorities, human review and executive summary.
The €690 pilot fee is credited toward Assurance when started within 30 days.
START BOUNDED
Founding Pilot availability is intentionally limited while Credalume builds its first commercial validation dataset.
Request the €690 PilotA request does not create an engagement. Scope and authorization are agreed before testing.