Secure SDL for AI
Folding AI-specific risks into the **secure software development lifecycle**: threat model → design → implement → test → deploy → respond.
What it is
Folding AI-specific risks into the secure software development lifecycle: threat model → design → implement → test → deploy → respond.
Why it matters
Bolting safety on after launch fails. SDL makes security a schedule item.
How it works (plain)
Add: prompt injection, tool abuse, data exfil, model/prompt supply chain, and eval gates to existing AppSec practices.
Try it
Add three AI threats to your next design review checklist.
Myths
- ⚠️ Myth: Traditional AppSec covers AI automatically.
- ✓ Reality: New trust boundaries appear with models/tools/RAG.
Sources
- OWASP LLM Top 10; Course 19 security basics
- https://owasp.org/www-project-top-10-for-large-language-model-applications/ ↗