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AI coding assistants and large language models (LLMs) like GitHub Copilot and Cursor can speed up development — but they also introduce new security risks developers must understand. In this video, we explore the potential dangers of using AI/LLMs when writing code and highlight key risks developers face when integrating AI-powered tools into their workflows. What You’ll Learn The security trade-offs of using AI coding assistants How AI-generated code can create hidden vulnerabilities Real-world examples of unexpected outputs and risky defaults Best practices for secure AI-assisted development Key Takeaways 📌 Learn more about this limited video series in our Blog: https://tinyurl.com/2tfwnz7t This is an introductory video in the Coding with AI topic in the Secure Code Warrior platform. To access full learning content — including AI Challenges, AI/LLM Guidelines, AI/LLM Walkthroughs, AI/LLM Missions, AI/LLM Quest Topics, and Course Templates — sign in to the Secure Code Warrior platform: https://portal.securecodewarrior.com/ Stay Connected Subscribe to follow along and catch a new lesson every week: / @securecodewarrior Join our community of developers and security leaders — opt-in here to get the latest videos, resources, and updates delivered straight to your inbox: https://tinyurl.com/9vp6wtp3 Follow us on LinkedIn: / secure-code-warrior Request a demo: https://tinyurl.com/2cy4urn9