Something slipped past the review. The pipeline caught it. Come see how.
Code gets reviewed. Configs get approved. Things still slip through. This session is about what happens when AI sits inside the pipeline and catches what the humans upstream missed.
We’ll walk through where AI plugs into CI/CD, how it flags vulnerabilities in code, dependencies and configs, how policies get enforced without anyone chasing them, and what a genuinely secure deployment looks like when it’s running properly.
Then we’ll run a real deployment through it, start to finish, so you can see exactly where it catches things and why.
If you’re anywhere in the delivery chain, from writing code to watching it deploy, this one’s for you.
Find out what a real pipeline looks like from the inside, and which tools and practices are doing the actual work.
Security is moving into your workflow whether you asked for it or not. See what changes when AI reviews your code before it ships.
You already run the infrastructure. Learn how AI-assisted scanning, policy enforcement and observability slot into what you’ve built.
Get a grounded look at the skills DevSecOps actually asks for, and where to start if you’re heading that way.
S. Ajith Kumar — a DevSecOps and Cloud Infrastructure Consultant who makes secure deployments look routine.
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