How do you test whether an AI agent fails safely?
Reproduce state changes, observe side effects and compare expected with actual behavior.
Direct answer
Test the agent in a controlled environment, mutate relevant state, run the action, observe side effects and compare actual behavior with the expected safe outcome.
What evidence should a buyer request beyond a successful demo?
Request reproducible negative cases and independent observations of whether the action API was reached. Cover runtime denial, invalid authority, missing approval, stale evidence, unavailable evidence and an executed outcome that differs from the authorized proposal.
Worked benchmark example
The seven local scenarios cover A: runtime BLOCK; B: allowed matching execution; C: authority DENY; D: approval ESCALATE; E: stale-evidence DENY; F: unavailable-evidence DENY; G: allowed execution with a detected mismatch. PASS means the expected test behavior occurred, including G's deliberately wrong amount.
What to ask in an evaluation
Use the pinned source and committed JSON, rerun in an isolated test environment, and compare API reachability and discrepancies.
Why it matters
Successful happy-path output does not show what happens when authority, evidence or dependencies change.
Concrete cross-sector example
In enterprise IT, revoke an automation account’s authority after planning but before execution and verify that the proposed configuration change does not occur.
Control flow
Prepare synthetic case → capture baseline → mutate decisive state → run action → observe side effects → compare expected and actual
Applicable Prudenze capabilities
Revera
Evidence and research
The finding should retain the test conditions, mutation, expected result, observed result and reproducible steps.
Source: local OpenShell qualification, scenarios A–G. These are deterministic fixtures and a mock payment API, with no customer systems or real payments.
Read all seven results, pinned versions and reproduction stepsPrudenze is a Hyperwise LLC product. This article is published by the Hyperwise team. About Hyperwise.