The 2 failures with AI coding that are creating security bottlenecks

AI coding tools are generating code faster than security teams can review it, creating dangerous bottlenecks. Two core failures drive this: organizations deploy AI code assistants without scaling their security review processes, and traditional security frameworks are ill-equipped to handle the unpredictable behavior of AI agents. The fix requires holistic pipeline thinking, value stream mapping before adding tools, scalable human-AI review methodologies, and new security controls like composite identities for AI systems. Ultimately, AI amplifies existing engineering culture—healthy teams benefit, dysfunctional ones accumulate more technical debt and risk.