Nvidia Embraces LLMs & Commonsense Cybersecurity Strategy

Nvidia security architect Richard Harang discusses lessons from red‑teaming the company’s LLMs and AI applications, noting that while generative and agentic AI introduce a new attack surface and unique risks (like autonomous actions and unexpected disclosures), many vulnerabilities resemble existing security issues. He emphasizes applying standard security engineering—confidentiality, integrity, availability, threat modeling, and trust boundary analysis—while acknowledging randomness in LLMs can reduce exploit reliability and that building security from first principles makes the risks manageable.