

As AI becomes an active participant in the enterprise, traditional security models are failing because they cannot differentiate between human users, helpful autonomous agents, or malicious actors. This critical gap leaves organizations exposed to unprecedented risks like agent hijacking, prompt injection, and unchecked AI data sprawl.
Join us for a briefing to learn how to fundamentally evolve your SASE architecture to govern these new AI identities, assess machine intent, and safely secure autonomous workflows at machine speed.

Based in Fort Wayne, Jeff has spent the last 30 years in IT, with 20 of those years focused on corporate network architecture. Along the way, he has served as a network automation architect at WWT (utilizing Python, Ansible, and Terraform) and tackled container orchestration and secrets management at HashiCorp. For the past 2.5 years, he has helped organizations navigate their zero-trust journeys as a Prisma Access Domain Consultant at Palo Alto Networks.In his free time, Jeff can usually be found relaxing with his two cats, chasing par on the golf course, or tackling woodworking projects in the garage.

Adrian is an outspoken researcher that doesn’t shy away from uncomfortable truths. He loves to write about the security industry, tell stories, and still sees the glass as half full.