How developers are embedding runtime security to safely
build with AI agents
Introduction:When AI Workflows Become Attack
Surfaces
The AI tools we use today are powerful, but also unpredictable and
exploitable. You prompt an LLM and it generates a Dockerfile.It
looks correct.A shell script?Reasonable.You run it in dev.Then
something breaks:a volume is deleted.A credential leaks into a
log.An outbound request hits a production API.Nothing in your CI
pipeline flagged it,
How developers are embedding runtime security to safely
build with AI agents