Inbar Raz
Inbar has been teaching and lecturing about Internet Security and Reverse Engineering for nearly as long as he has been doing that himself. He started programming at the age of 9 and Reverse Engineering at the age of 14. He spent most of his career in the Internet and Data Security field, and the only reason he's not in jail right now is because he chose the right side of the law at an early age.
Inbar specializes in an outside-the-box approach to analyzing security and finding vulnerabilities, using his extensive experience of close to 30 years. Nowadays, Inbar is the VP of Research at Zenity, the leading platform for securing Business-led Development with GenAI, AI Agents, and Low-Code/No-Code development.
Session
Compromising a well-protected enterprise used to require careful planning, proper resources, and ability to execute. Not anymore! Enter AI.
From Initial Access to Impact and Exfiltration. AI is happy to oblige the attacker. In this talk we will demonstrate access-to-impact AI vulnerability chains in most flagship enterprise AI assistants: ChatGPT, Gemini, Copilot, Einstein, and their custom agent . Some require one bad click by the victim, others work with no user interaction – 0click attacks.