Application Security Strategies Are Changing as AI-generated Code Floods the SDLC

**Executive summary:** This article examines how AI-assisted coding increases the speed and volume of code changes and the attendant AppSec risks—such as supply-chain exposure, missing authorization, secrets leakage, and unsafe input handling—and recommends adapting SDLC controls, dependency and secrets checks, authorization testing, and risk-based triage to reduce production exposure.