Introducing Trustible’s Model Risk Assessment: A Structured Way to Evaluate Third-Party AI Models
Models are the heart of an AI system and the source of many risks. With many developers now choosing to use external models instead of building them from scratch, it is important to be able to choose a model that both performs well and provides a clear understanding of potential risks. This can be challenging […]
AI Governance Needs to Catch Up to AI: Reflections from CHAI Leadership Summit 2026
At the Coalition for Health AI’s (CHAI) Leadership Summit in Dana Point, California, Trustible CEO Gerald Kierce led a working workshop alongside Melissa Fitzgerald (Chief Privacy Officer at Mass General Brigham), Shawn Stapleton, PhD (Director and Head of AI Lifecycle Management at UT MD Anderson), and a representative from a large managed care provider. The […]
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 […]
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 […]
Leidos and Trustible Launch Joint Initiative to Redefine AI Governance with Agents
Collaboration applies proven AI principles to help automate governance, reduce friction, and support AI innovation and adoption across government missions. Arlington, Va. – FEB. 4, 2026 — AI governance is too often a brake on innovation. Trustible and Leidos (NYSE: LDOS) are working to change that. Today, the companies announced a partnership to redefine AI […]
The Path to Agentic Governance: Innovations, Lessons Learned, and Our 2025 Milestones
In 2025, Trustible delivered the continuous, scalable programs needed for faster AI adoption at the same time that AI governance itself was shifting from principles and pilots to real production.
Our strengthened intelligence, collaboration, automation, and change management capabilities helped enterprises deploy AI deeper into workflows, decisions, and customer experiences.
Trustible Recognized in the 2025 Gartner® Market Guide for AI Governance Platforms
Trustible, a leading AI governance platform provider, is pleased to be listed as a Representative Vendor in the 2025 Gartner Market Guide for AI Governance Platforms. We believe this is a milestone that signals the start of an inflection point, when AI governance is no longer optional, experimental, or theoretical; it’s now a business imperative […]
Introducing the Trustible AI Governance Insights Center
At Trustible, we believe AI can be a powerful force for good, but it must be governed effectively to align with public benefit. Introducing the Trustible AI Governance Insights Center, a public, open-source library designed to equip enterprises, policymakers, and consumers with essential knowledge and tools to navigate AI’s risks and benefits. Our comprehensive taxonomies cover AI Risks, Mitigations, Benefits, and Model Ratings, providing actionable insights that empower organizations to implement robust governance practices. Join us in transforming the conversation around trusted AI into tangible, measurable outcomes. Explore the Insights Center today!
AI Governance Meets AI Insurance: How Trustible and Armilla Are Advancing AI Risk Management
As enterprises race to deploy AI across critical operations, especially in highly-regulated sectors like finance, healthcare, telecom, and manufacturing, they face a double-edged sword. AI promises unprecedented efficiency and insights, but it also introduces complex risks and uncertainties. Nearly 59% of large enterprises are already working with AI and planning to increase investment, yet only about 42% have actually deployed AI at scale. At the same time, incidents of AI failures and misuse are mounting; the Stanford AI Index noted a 26-fold increase in AI incidents since 2012, with over 140 AI-related lawsuits already pending in U.S. courts. These statistics underscore a growing reality: while AI’s presence in the enterprise is accelerating, so too are the risks and scrutiny around its use.