Live
On-demand

AI Explained: AI Agents Have an Identity Complex

May 14, 2026
10:00AM PT / 1:00PM ET
Registration is now closed. Please check back later for the recording.
This webinar has been cancelled at this time due to unforeseen circumstances.
Virtual fireside chat image for 'AI Explained: AI Agents Have an Identity Complex' with industry experts, with a play button icon indicating video content.

AI agents need access that changes in real time as they reason through what to do next. Most security models were built for humans, not systems that decide their own scope. Join Jeff Malnick, VP of Engineering, Developer and AI at 1Password, for a candid conversation about the identity complex hiding inside every agentic deployment.

What you'll learn:

  • What separates agent identity from machine identity, and why static security policy breaks when agents can reason
  • Where Zero Trust enforcement has to live in an agent workflow, and why real-time attestation beats standing policy
  • How to provision and scope agent credentials automatically, without blocking the systems that depend on them

AI Explained is our AMA series featuring experts on the most pressing issues facing Agentic and AI teams.

Can’t attend live? You should still register! Recordings will be available to all registrants after the event.

Featured Speakers
Jeff Malnick
VP of Engineering, Developer and AI
at
1Password
Jeff Malnick is VP of Engineering, Developer and AI at 1Password. Before joining 1Password, he was Senior Director of Engineering for the Secure Product Line at HashiCorp. His background spans distributed systems, secrets management, and security infrastructure, with a focus on making the secure path the default one for developers and, increasingly, for AI agents.
Krishna Gade
Founder and CEO
at
Fiddler AI
Krishna Gade is the Founder and CEO of Fiddler AI, where he is building the control plane for AI systems — helping enterprises monitor, evaluate, and control models and autonomous agents in production. Previously, he time at Microsoft working on search ranking for Bing, and later led data and machine learning teams at Twitter and Pinterest. He is most known for his work on AI Explainability at Facebook/Meta and these days he is now focused on making AI systems trustworthy, scalable, and production-ready for the enterprise.