The AI Security Checklist: Safeguarding Your App from Data Leaks & Prompt Injection

Integrating LLMs introduces new security vulnerabilities. Simple input fields can become attack vectors for prompt injection, where users trick the AI into revealing sensitive data or performing unintended actions. Our comprehensive checklist provides actionable steps to secure your application. Key areas include: validating and sanitizing all user inputs, implementing strict access controls for data the LLM can see, monitoring for anomalous query patterns, and ensuring your model's training data is anonymized. Protect your users and your reputation.