A selection of innovations on identity, access control, and zero-trust in agentic-AI I have recently led — from research and architecture to working systems, products, and patent-pending technology.
Agentic AI broke the rules of access control, the barrier enterprises must clear to reach production. I'm building a zero-trust layer that removes it: a new breed of AI-powered Auth Servers that stop agents from scope-breaking (exceeding what they're told to do).
You can't secure what you can't identify, and agentic AI just multiplied the unknowns. I designed the first open-source reference implementation of identity for agentic AI and co-led the Linux Foundation's AGNTCY Identity Working Group, giving agents and tools verifiable identities across the major IdPs (Okta, Entra, Ping, Duo, Keycloak, and Ory). It enables:
Compliance, data sovereignty, and cost keep enterprise data at the edge, so AI must move to the data, not the data to AI. I led the design of a new inference stack for Cisco AI servers that securely glues identity, language models, data, apps, and agents together at the edge:
I created PPUs — efficient units that characterize a prompt at inference time, detecting and distilling a set of features:
Transparent by design, PPUs deliver this feature as structured metadata in real time — with applications across security, Data Loss Prevention (DLP), observability, compliance, and productivity assessment.
→ Patent-pending technology