The rise of AI-generated code isn't just a technical shift; it's a fundamental change to how we manage AppSec risk. If you're not thinking about automation today, you're already behind. The sheer volume and velocity of AI-driven development will drown any manual review process.
Our take? Identify your control points and your most likely risks. For AI-generated code, those control points might be the AI agent's output, the commit before PR, or even pre-deployment. Your risks? Supply chain attacks, vulnerabilities, known CVEs.
We need to build automated gates at these points. That could mean linting tools, SAST, or even custom scripts that analyze LLM tokens for risky patterns. The goal isn't 'zero vulnerabilities' (that's a fantasy) but 'zero *known, preventable* vulnerabilities' making it past your earliest control point. You're trying to shift the burden from human review to automated checks. It's about empowering developers to catch issues the instant they're introduced, not weeks later in a pentest report. If your automation can catch 80% of the common issues, your team can focus on the hard 20%.