Panel discussion will explore the cybersecurity implications of machines acting autonomously
Token Security, the leader in Non-Human Identity (NHI) security, today announced it will host a webinar featuring guest speakers from Forrester and Lemonade, an online-first insurance company, to discuss the cybersecurity blind spots created by agentic AI and NHIs. As autonomous AI systems gain the ability to act independently, enterprises must urgently address identity and access controls for these non-human agents.
WHO:
- Geoff Cairns, Guest Speaker and Principal Analyst, Forrester – A recognized expert in identity and access management (IAM) and enterprise security, providing insights into emerging risk and governance challenges.
- Itamar Apelblat, CEO and Co-Founder, Token Security – A pioneer in machine identity security, driving innovation in safeguarding NHIs and AI agents at scale.
- Jonathan Jaffe, CISO, Lemonade – An experienced security leader responsible for protecting one of the world’s most innovative insurance platforms.
WHAT:
Agentic AI can make decisions, initiate actions, and access enterprise systems without direct human involvement. While this unlocks new opportunities for speed, innovation, and operational efficiency, it also introduces unprecedented identity and access risks, impacting enterprise security.
In this live discussion, panelists will cover:
- Why agentic AI is redefining enterprise identity and trust boundaries
- The growing attack surface created by unmanaged AI agents and NHIs
- Real-world risks such as credential abuse, impersonation, and privilege escalation
- Frameworks and controls for governing and securing AI agents across their lifecycle
Attendees will learn why enterprises need control and governance of every AI agent, and how organizations can adopt identity-first security practices that enable innovation while reducing risk.
WHERE:
Online event, accessible from any device.
WHEN:
Tuesday, September 9, 2025 at 11AM EDT
HOW:
For more information and to register for the webinar “When Machines Act for Themselves: The Identity Risk of Agentic AI,” visit: bit.ly/3USvA4J