Idan Habler is an AI Security Researcher at Cisco, where he focuses on securing agentic and autonomous AI systems across enterprise environments. His expertise spans agentic threat modeling, AI red-teaming, secure tool and agent-to-agent interactions, and defense-in-depth architectures for generative AI systems. Prior to Cisco, Idan worked as an AI Security Researcher at Intuit and served in senior cyber R&D and cyber security roles within Israel’s military. An active researcher, Idan holds a Ph.D. in Software and Information Systems Engineering from Ben-Gurion University, where his research focused on cyber risk assessment and advanced threats to complex systems. Beyond his corporate role, Idan is core team member of the OWASP Securing Agentic Applications initiative, and a founding member of AIVSS. Through OWASP, he co-authors security standards and guidance including the Agent Name Service (ANS) and Agent-to-Agent Secure (A2AS) protocol, and develops practical threat modeling frameworks for multi-agent AI systems. A recognized contributor to the AI security community, Idan’s work has been published in leading research and industry venues, and he regularly collaborates with industry, academia, and open-source communities to advance secure-by-design approaches for agentic AI systems at scale.