AI-Generated Code Security: Closing the Governance Gap

AI-generated code security accountability currently lacks standardized attribution in development and auditing frameworks, leaving organizations responsible for verifying agent-produced code despite inadequate metadata. This gap poses risks as AI-written code frequently introduces security vulnerabilities, and existing standards and regulations do not explicitly distinguish AI authorship, placing an evidentiary burden on organizations.

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