AI Security in CI/CD: LLM Risks, OWASP Top 10 & DevSecOps

About this course

This course contains the use of artificial intelligence.

QuickSlice gave away thirty-seven free pizzas because one customer typed a polite sentence to its order assistant. AI security is now a CI/CD problem. The pipeline you already run was built to catch broken code and known library flaws, and it walks past a package an AI coding assistant invented, a model file that runs code when it loads, an API key left in a notebook, a chat message that rewrites the business rules, and a poisoned document the assistant reads. This course gives you the map: where each risk enters the pipeline, which check catches it, and how a team writes a release gate that blocks, warns or ships. One company, one assistant, twelve weeks.

The course follows one example from start to finish. QuickSlice is a pizza delivery chain with fourteen shops, an app, and an AI order assistant called Slice. QuickSlice is a composite case: the company is invented, the incidents are modelled on real public ones, and the numbers are illustrative. You watch its small team launch Slice with zero AI checks and then meet one incident after another. Each incident enters the pipeline through a different door, and each one leaves behind a check that now runs on every change. By the end, the pipeline has a written release gate that says block, warn or ship.

Who this course is for

It is for developers, testers, DevOps and platform engineers, security people who are new to AI, product and engineering managers, and students who want a clear picture of how security for AI apps fits into everyday delivery. You need no background in security or machine learning. If you know roughly what a pull request is, you will follow every lesson. If you do not, the first module explains it.

It is not for you if you want to configure a specific scanner step by step, train or fine-tune models, or prepare for a certification exam.

What makes this course different

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