How Thalamus Is Setting a New Standard for Trustworthy AI in Medical Education with Trustible
ARLINGTON, VA | APR 3, 2026 — Thalamus, the leading platform for Graduate Medical Education (GME) recruitment, has selected Trustible as its AI governance platform. Thalamus will use Trustible to structure and operationalize how it governs AI across its products and operations, giving the GME community transparent, verifiable evidence of how AI is governed in […]
What AI Governance Looks Like After Year One
A recap of the panel Trustible led at the IAPP Global Privacy Summit in Washington, D.C.
A Governance Framework for Agentic AI
AI governance has always been about reviewing outputs before anything consequential happens. Agentic AI changes that. These systems don’t just generate content, they take action. They call APIs, execute code, send messages, and interact with software on their own. The human checkpoint that traditional governance relied on is no longer guaranteed. Most organizations already have […]
Introducing Trustible’s New Brand: AI Governance That Accelerates Innovation
A New Chapter for Trustible: Built for What’s Next When Andrew and I founded Trustible, we understood that AI would be the most transformational technology humanity had ever created. We also saw that organizations were struggling to figure out how to adopt this technology responsibly with the confidence, clarity, and trust needed to move forward. […]
Trustible Partners with Coalition for Health AI to Accelerate Responsible AI Adoption in Healthcare
Trustible, a leading provider of AI governance software for enterprises, today announced it has joined the Coalition for Health AI (CHAI)’s Partner Program, helping to set standards for how AI models can be responsibly governed. CHAI is a provider-led coalition committed to developing industry best practices and frameworks to further innovation, safety and security for […]
A Pragmatic Blueprint for AI Regulation
An AI startup’s proposal for fair, pro-growth, pro-AI, non-partisan, AI regulation AI is one of the most transformative technologies of the century, with the potential to accelerate scientific research, improve healthcare outcomes, and help small businesses compete with larger enterprises. The United States currently leads the world in AI development. Yet despite this leadership, a […]
Trustible Leads Inaugural Sponsor Cohort for the AI Incident Database
Trustible, a leading provider of AI governance software for enterprises, today announced a partnership with the Responsible AI Collaborative (RAIC), the independent nonprofit behind the AI Incident Database (AIID). Trustible is leading RAIC’s inaugural cohort of corporate sponsors, and will integrate AIID incident data directly into its platform and collaborate with RAIC on research into […]
Everything You Need to Know About New York’s RAISE Act
New York became the second state last year to enact a frontier model disclosure law when Governor Kathy Hochul signed the Responsible AI Safety and Education (RAISE) Act. The new law requires frontier model providers to disclose certain safety processes for their models and report certain safety incidents to state regulators, with many similarities to California’s slate of AI laws passed last fall. The RAISE Act will take effect on January 1, 2027. This article covers who must comply with the RAISE Act, what transparency obligations the law creates, and how the law will be enforced.
Everything You Need to Know About the Executive Order on a National AI Policy Framework (2025)
On December 11, 2025, President Trump signed an Executive Order directing the federal government to build a “minimally burdensome” national framework for AI and to push back against state AI laws the Administration views as harmful to innovation. The EO takes a new, novel approach via Executive Branch authority, creating an AI Litigation Task Force and asking the U.S. Department of Commerce to evaluate state AI laws and identify “onerous” laws (explicitly citing laws that require models to “alter their truthful outputs”.)