Static Analysis in the Age of AI, Part I: AI Coding Assistants

Static Analysis Security Testing (SAST) has traditionally focused on identifying security flaws in code but must evolve in response to the rise of AI coding assistants, which are changing how code is generated and, consequently, how flaws are introduced. While AI-driven code generation might reduce the number of simple, easily detectable errors, it also necessitates a shift in SAST's approach to focus on more complex, context-dependent vulnerabilities tied to an application's environment and behavior. This evolution requires SAST tools to integrate closely with modern development workflows, enabling them to provide real-time, machine-readable feedback to both human developers and AI agents. The shift-left movement, which brings security testing earlier into the development process, is further evolving to accommodate AI, requiring tools to operate at machine speed and with enhanced contextual awareness. Ultimately, SAST tools must adapt to coexist with AI by providing deeper insight into deployment contexts and aligning more closely with contemporary software development practices to remain effective and relevant.

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