Traditional software security relies on implicit trust in sources like approved vendors or known repositories, but this model is breaking down. The rise of AI coding tools, developer agents, and polymorphic malware means that code can appear legitimate while still posing significant risks. Security teams must shift their focus from source-based trust to evaluating the actual behavior and capabilities of code before it executes, extending zero-trust principles to code execution. AI
IMPACT AI-generated code and developer agents are forcing a re-evaluation of software security, shifting focus from source trust to execution behavior.
RANK_REASON Article discusses a conceptual shift in software security due to AI, rather than a specific product release or event.
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