Build it in, don't bolt it on.
A flaw found after launch costs roughly ten times more to fix, and it's far less likely to ever get fixed at all. So the work moves earlier. AI-assisted threat modelling, automated scanning with LLM-driven false-positive filtering, and hardening standards become part of your development pipeline, which means most vulnerabilities surface during code review rather than in a post-launch audit.
- AI-assisted threat modelling during architecture design
- SAST tools (Semgrep, CodeQL) with LLM-powered triage in CI
- DAST scanning against staging before every release
- OWASP LLM Top 10 controls for any AI surface you ship