A novel framework for secure integration of large language models into the software development lifecycle is needed, as AI coding assistants now pervade 76% of the developer workforce, yet roughly half of AI-generated code snippets contain bugs that could potentially be exploited. While AI assistants boost developer productivity by 26% in controlled studies, they introduce security risks, compliance challenges, and technical debt. The regulatory landscape includes the EU AI Act’s GPAI obligations taking effect August 2025, federal SBOM requirements restructured across 2025–2026, and unresolved GitHub Copilot copyright litigation after three years. Enterprise leaders face a paradox: 90% of Fortune 100 companies have adopted GitHub Copilot, yet 80% of developers admit bypassing security policies for AI-generated code. The 2024 Stack Overflow Developer Survey reports 62% of professional developers actively use AI tools, up from 44% in 2023, with 76% either using or planning to use such tools. GitHub Copilot has over 20 million cumulative users and 1.3 million paid subscribers, achieving 30% quarter-over-quarter growth through 2025. Cursor exceeds $500M ARR with over 1 million daily users. Only 30-40% of organizations actively encourage AI coding tools, and 73% of developers report unclear or absent AI policies.