Roger Jungerman

AI agents are taking actions, accessing data, and making decisions across your most sensitive systems with no identity, no access controls at the action level, and no protection for the data they consume. For data-sensitive enterprises, that's not a governance gap you can patch later. It's a fundamental trust problem that blocks AI from moving from pilot to production. Our AI Trust Fabric is a Zero Trust AI control plane that solves it at the infrastructure level: Every AI action is authenticated — unique identities issued and verified per action, not per session. Access is authorized just-in-time — least-privilege, context-aware authorization at runtime. No static credentials. No standing access. Sensitive data is protected before the AI sees it: PII, HIPAA data, IP addresses, and proprietary information redacted in the data path before it reaches the model. Built on Named Data Networking and backed by DO funding, Operant Fabric is the trust and governance infrastructure organizations need to move AI safely from experimentation to production