Introducing Agent Assurance for Autonomous AI Agents

TestMu AI has launched Agent Assurance, an early-access CLI and cloud product for testing autonomous AI agents that perform real actions such as writing files, calling APIs, creating tickets, or issuing refunds. It analyzes an agent’s codebase to identify its behavior, generates functional, non-functional, and adversarial test scenarios, invokes the live agent, and evaluates criteria using observed effects such as filesystem changes, generated artifacts, and tool calls rather than relying on the agent’s final response. Results use pass, fail, and unable-to-verify verdicts, with unverifiable criteria excluded from the pass rate and aggregated into an “assurance gap” that measures how much behavior can actually be proven. The platform supports interactive and headless CI workflows, versioned context, evidence packs, root-cause clustering, security-focused adversarial testing, and comparisons across agent configurations, while warning that agent writes are real and recommending use against staging environments.

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