The new product verifies both the AI agents that talk to customers and the agents that act on systems, generating test scenarios directly from code, grading every action against real evidence, and reporting an assurance gap for everything it could not verify
TestMu AI Launches Agent Assurance to Verify AI Agents Before They Ship
The new product verifies both the AI agents that talk to customers and the agents that act on systems, generating test scenarios directly from code, grading every action against real evidence, and reporting an assurance gap for…
Yahoo Finance
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Aug 18, 2026 at 1:56 PM UTC · Updated 2 天前 · 3 分钟阅读

SAN FRANCISCO and NOIDA, India, Aug. 18, 2026 /PRNewswire/ -- TestMu AI (formerly LambdaTest), the world's first Agentic AI-native Quality Engineering platform, announces Agent Assurance, a product built to answer the question every engineering team shipping AI agents now faces: is this agent safe to ship? Agent Assurance covers both kinds of agent in one product: the Conversational Agent category - which evaluates human-facing agents across chat, voice, phone, video, and image; and the new Autonomous Agent category, which verifies agents that act on systems: calling tools, writing files, hitting APIs, and opening pull requests.
Most teams today test autonomous agents by reading the agent's own account of what it did: a transcript, or a judge's score over its final message. Agent Assurance grades the effect instead. Pointed at a codebase, it works out what the agent does, generates an end-to-end agent testing suite that spans agent functional testing, non-functional checks, and adversarial scenarios, invokes the agent for real, and judges every criterion against observed evidence: files that changed on disk, artifacts produced, and tool calls verified against the agent's own declared tool surface.
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