We have a choice in how we use AI.
We unite market leaders and deployers with insurers, policymakers, and civil society to standardize, deploy, and scale open verification, an AI security approach purpose-built for the agentic age.
The Open Verification Lab builds research, standard, and tools to make AI safety possible in deployment.
Ecosystem Growth builds the category of verifiable AI.
We author Proof-of-Control, hosted at LF Decentralized Trust, with our members and security leaders as the open standard that specifies what counts as evidence that an AI agent stayed within its controls.
We advance open verification by conducting open research and building open reference architectures, runtime hooks, and developer tooling that make Proof-of-Control implementable.
Certification converts Proof-of-Control from a published standard into default market practice. Deployers need a mark they can require, and underwriters need testable evidence to price it.
We build the policy foundation for open verification. We drive this work globally, prioritizing high-impact enforcement opportunities, starting with implementation windows like the EU AI Act.
Open verification is a social movement as much as a technical effort. Our convenings bring together technical standards builders alongside journalists, storytellers, and civil society leaders to learn about verifiable AI from our members and industry experts. From Davos to RSA, we build the field, equipping technical and non-technical leaders to integrate open verification for high-risk AI deployments.
We publish industry research to accelerate enterprise adoption of open verification. We produce actionable guidance for business leaders, enterprise CISOs, and public advocates, making verifiable AI procurable and deployable.
Cross-Cutting Deployment
Live implementation sandboxes testing the Proof-of-Control standard in high-risk environments across the agentic stack, demonstrating open verification in real-world deployments and documenting all findings in the open.
The Insurance Working Group activates carriers and reinsurers by establishing Proof-of-Control as the missing standard required to make AI operational risk priceable, and it is the strongest market force driving adoption of the standard.
We build the field that will demand verifiable AI. Steward Members, journalists, and digital rights advocates join our convenings and pilots to build deep technical literacy in open verification, and leave equipped to advocate for verifiable AI and to demand open evidence across public systems.
Spend is moving toward whoever can show their system did what it was supposed to do.
$2.59T
forecast worldwide AI spending in 2026, a 47% increase year over year.
AI infrastructure alone will account for over 45% of that spending. Gartner revised the number upward from $2.52 trillion in January.
SourceGartner press release, 19 May 2026. gartner.com
4,078
generative-AI exclusions filed against commercial liability policies across 49 states and DC.
Trades Coverage, from a search of all 106,812 commercial insurance filings in 50 states and DC, July 2025 to 31 July 2026. phcppros.com
1 of 8
major AI-related incidents in early 2026 received a CVE identifier. The other seven did not.
OWASP GenAI Security Project, Q1 2026 Exploit Round-up, 14 April 2026, via Cloud Security Alliance research note. labs.cloudsecurityalliance.org
42%
of companies abandoned most of their AI initiatives in 2025, up from 17% a year earlier.
S&P Global Market Intelligence, Voice of the Enterprise, October 2025. spglobal.com
Verification makes AI more accountable.
Verifiable AI converts autonomous models into systems that enterprises, governments, and communities can more safely deploy, insure, and trust.
Verifiable AI is a latent category waiting for structural unification.
The tech to make agentic orchestration secure exists in a range of cryptographic and decentralized services: from trusted execution environments and hardware attestation to zero-knowledge proofs.
“Since becoming a member, we've had new doors open up, starting with our Davos experience. Michael Casey who's been eight times, showed me the ropes, got me into events, and made the introductions that mattered. Without him and his cofounder Tricia Wang from the Advanced AI Society this experience wouldn't have been nearly as valuable.”
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
Advanced AI Society and Linux Foundation Decentralized Trust (LFDT) invite you to join us for our three-hour online event, “Who’s Watching the Machines? Launching Proof-of-Control, an open verification standard for the agentic era.” We are convening the founders and operators building the open verification ecosystem: open-source maintainers, enterprise security executives, insurers, and policymakers. September 23, 2026, at 8:00 PT, 11:00 ET, 17:00 CEST, and 23:00 SGT. Register for the Zoom link via LFDT directly.
Announcing Jim Schwoebel, CEO/CTO of Quome, as Director and co-founder of the Open Verification Lab.
Join as an organizational member if you’re a founder and buyer of verifiable AI. Open to start-ups, enterprises, universities, and key players in the open verification ecosystem.
Join as an individual. Free and open to any individual who wants to advance verifiable AI and open verification.
If you’re a cybersecurity practitioner or CISO, we invite you to join as a Founding Contributor to Proof-of-Control.
Become a founding contributor →(Google sign-in required)
Contribute to or lead research, and build tools that advance Proof-of-Control and the larger open verification category.
