The Future of AI Security: Detecting Risks, Jailbreaks, and Vulnerabilities

AI is transforming how we think about cybersecurity, but not without posing new risks. In this interview, Abe Amich, an ML research engineer at SandboxAQ, explains how the cryptography team is building AI systems that are not just powerful, but also safe, secure, and trustworthy. He discusses: -The growing challenge of securing AI systems -How AI can strengthen cybersecurity defenses -An AI security management platform that scans codebases for AI assets and risks -Detecting vulnerabilities like jailbreaks, misuse, toxicity, and robustness issues -Why Retrieval-Augmented Generation (RAG) systems can provide more reliable answers than general-purpose LLMs -How AI assistants can help users navigate complex security platforms As AI becomes more widely deployed, security is becoming foundational to deploying trustworthy technology. Subscribe to the SandboxAQ YouTube channel to learn more about AI, cybersecurity, and emerging technologies. #sandboxaq #aqtiveguard