Advanced AI Society Joins the Linux Foundation and Launches Open Verification Ecosystem
September 17, 2026 - 8:25 pm
Credit: Advanced AI Society
New York, NY, September 17th, 2026, TechnologyWire
As bipartisan legislation demands verifiable agent controls, the Advanced AI Society releases the Proof-of-Control v1.0 draft for public comment and hosts “Who’s Watching the Machines?” event with Linux Foundation Decentralized Trust.
To meet growing statutory mandates and security requirements across enterprise and public systems, the alliance has released the v1.0 working draft of Proof-of-Control for public comment through October 30, 2026 at advancedaisociety.org/proof-of-control.
Hosted by LF Decentralized Trust as a lab, this new standard builds directly on the production-proven Verifiable AI technologies of the alliance’s member companies. Co-designed alongside a coalition of over 80 global security leaders across enterprise sectors, it validates market demand for interoperable tools that make agent execution openly verifiable by anyone, without relying on the operator’s word.
Addressing the Verifiability Gap
The announcement addresses the widening Verifiability Gap as autonomous AI agents begin to act faster than manual human oversight can track. Grounded in the core principle that verification cannot belong to the verified, the standard requires unaffiliated, neutral third parties—alongside agent developers and deployers—to be able to openly verify the work of AI agents.
Open Verification as Open Source
Open verification represents the next category of open source: extending open-source principles to the agentic stack where you cannot secure what you cannot inspect, and you cannot delegate what you cannot openly verify. By housing its open standards within the neutral commons of the Linux Foundation, the alliance ensures that machine trust rests on transparent mechanisms anyone can openly verify, rather than vendor promises or self-attestation.
"Built by our members and over 80 global security leaders, Proof-of-Control brings production-proven verifiable AI technologies together into a unified open standard," says Tricia Wang, Co-Founder and CEO of Advanced AI Society. "Safety checks and traditional audits are necessary, but when AI agents act in milliseconds, an annual or even quarterly stamp of approval isn’t enough. Trust requires continuous monitoring anyone can inspect."
"An agent’s runtime log is just a claim until anyone can verify it for themselves," says Ken Huang, Co-Chair of Proof-of-Control. "Proof-of-Control turns open verification into standard operating practice: it requires an agent’s authority to be defined before it acts, produces evidence at runtime that it stayed inside that authority, and makes that evidence auditable across the whole agent lifecycle."
"Trusting AI agents requires decentralized mechanisms that no single vendor can control or alter," says Daniela Barbossa, General Manager, Decentralized Technologies, Linux Foundation, and Executive Director, LF.