Announcing Gremlin Foresight AI

Gremlin has launched Foresight AI, an agentic resilience product designed to identify potential software failure modes, recommend and validate fixes, and help organizations maintain reliability as AI-assisted development accelerates code delivery. Built on Gremlin’s fault-injection platform and its proprietary Failure Atlas, which draws on millions of experiments across distributed systems, the product uses specialized Analyst, Tester, Operator, and Technical Program Manager agents to assess environments, run approved reliability tests, explain results, guide remediation, track testing gaps, and report on program progress. Gremlin says Foresight AI relies on platform data for diagnostic decisions while using large language models primarily for summarization and explanation, keeps customer system data out of LLM training, and requires user approval before tests or remediations occur. The company positions the product as a way to move beyond reactive AI reliability tools by repeatedly testing fixes under realistic conditions, while its TPM and customizable reporting features aim to help teams coordinate reliability work and demonstrate the value of outages prevented.

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