Protect Your AI App Before It's Too Late - Prompt Engineering and Injection Security

Learn essential security practices for AI applications through practical examples and implementation strategies in this 18-minute tutorial. Explore the unique security challenges that AI-powered applications face, starting with a demonstration of a vulnerable AI app and progressing through comprehensive protection methods. Understand how system prompts work and discover the dangers of prompt injection attacks that can compromise your application's intended behavior. Master keyword checking techniques to filter malicious inputs, implement strategies to mitigate jailbreak attempts, and apply regex patterns for input validation. Examine post-processing methods to sanitize AI outputs and learn quick security tips for immediate implementation. Discover how to add user identification to API calls for better tracking and accountability. Cover broader security considerations that apply to any web application, including rate limiting, email validation, and shield protection using security tools like Arcjet.