Secure AI Developement
What is Secure AI Development?
The rapid adoption of Large Language Models (LLMs) has fundamentally changed how we build software, but it has also introduced a new frontier of vulnerabilities. While traditional security focuses on code and infrastructure, AI security requires us to defend against jailbreaks, prompt injections, and the unpredictable nature of probabilistic outputs.
This learning path will help you stay ahead of this curve. It'll take you from the mechanics of LLMs to the cutting edge of autonomous agents and the Model Context Protocol (MCP). By completing the modules below, you will move beyond simple prompting and learn how to build robust, secure-by-default AI applications that are resilient against the next generation of cyber threats!
Save your learning progress.
- Track your learning progress
- Keep up to date with the latest vulnerabilities
- Scan your application code to stay secure
AI Secure Development
The following lessons provide a comprehensive deep dive into the unique security challenges of the AI-driven world. By the end of this module, you will be equipped to secure the entire development lifecycle, from implementing Secure at Inception workflows to governing the autonomous power of AI agent.