This piece explores the fundamental limitation that AI models are deterministic software systems — they cannot reason beyond their training and architecture simply because a user asks them to. Despite clever prompting tricks, AI tools consistently accept flawed or misleading inputs, which has direct implications for any security tooling or code review processes that rely on AI judgement. For cloud security teams integrating AI into pipelines, this is a timely reminder that AI outputs require human validation.

Security Architect’s Take: Do not treat AI-assisted code review or security analysis as a reliable last line of defence — implement mandatory human review gates and static analysis tooling alongside any AI tooling in your CI/CD pipelines to catch what AI models routinely miss or hallucinate.

Original advisory: AI is code – and can’t be prompted into being smarter