When Machines Act for Themselves: The Identity Risk of Agentic AI

The next generation of AI isn't just answering prompts, it’s acting autonomously and independently. Agentic AI systems can initiate actions, make decisions, and access enterprise resources without direct human involvement. But as these non-human agents take on increasingly critical roles, a critical cybersecurity blind spot is emerging: non-human identity and access security for machines that act on their own. Itamar Apelblat of Token Security with guest speakers Geoff Cairns of Forrester and Jonathan Jaffe, CISO of Lemonade will participate in a panel discussion on the urgent need for an identity-first security approach for ensuring a strong Agentic AI security posture without impacting innovation and agility. When AI agents are granted credentials, call upon APIs, or operate across cloud environments, you need to know who they are and what they are allowed to do, and be aware if something goes wrong. Topics we’ll cover include: - Why Agentic AI is redefining enterprise identity and trust boundaries - The growing attack surface created by unsecured or unmanaged non-human identities (NHIs) - Real-world risks: privilege escalation, credential abuse, impersonation, and policy drift - Frameworks and controls for governing and securing AI agents across the lifecycle Join us to learn why every AI agent needs a verifiable identity, and how to build NHI security controls that scale with machine autonomy.