This report explores how AI is transforming software development from a productivity tool into an active participant that writes, maintains, and even executes code, introducing new security challenges that traditional approaches cannot handle. It highlights risks such as insecure AI-generated code, hallucinated dependencies, data leakage, and emerging threats from agentic systems capable of autonomous decision-making and workflow execution. The report emphasizes the need for a new “AI trust” model built on visibility, prioritization, and governance, supported by adaptive security guardrails embedded directly into developer workflows. It also outlines strategies such as real-time scanning, AI bill of materials (AI-BOM) tracking, and continuous validation to manage risk at scale. The key tak

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