Ready to become a certified z/OS v3.x Administrator? Register now and use code IBMTechYT20 for 20% off of your exam → https://ibm.biz/BdnNJp

Learn more about Guardium AI Security here → https://ibm.biz/Bdn7PF

How do you secure large language models from hacking and prompt injection? 🔐 Jeff Crume explains LLM risks like data leaks, jailbreaks, and malicious prompts. Learn how policy engines, proxies, and defense-in-depth can protect generative AI systems from advanced threats. 🚀

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdnNJh

#llm #secureai #aihacking #aicybersecurity

IBM Technology

Large language models face various security threats including prompt injection, jailbreaking, and data exfiltration. A proxy-based defense architecture with policy engines can protect against these attacks by intercepting requests and responses before they reach the LLM. This approach uses AI models like LlamaGuard to detect malicious inputs, supports multiple LLMs with consistent security policies, and provides centralized logging. The defense-in-depth strategy blocks attacks like code injection, malicious URLs, and data leakage while maintaining system functionality.

LLM Hacking Defense: Strategies for Secure AI