Author: Security Weekly - A CRA Resource - Bewertung: 0x - Views:3
Matias Madou argues that software teams need to start governing AI-generated code, not just reviewing it.
Traditional development workflows assume a human author creates code and another human reviews it. AI introduces additional contributors, making authorship, accountability, and traceability much harder to understand. Security teams may need new governance models that answer basic questions: Where did the code come from? Who modified it? Who is responsible for it?
As AI becomes a larger participant in software development, these questions become operational requirements rather than philosophical debates.
If an AI agent writes part of your application, what level of visibility and accountability should organizations require before that code reaches production?
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