AI in healthcare isn’t starting from a regulatory vacuum. It’s starting from an environment that already treats digital tools as safety‑critical: medical device rules, clinical trial regulations, GxP controls, HIPAA and GDPR, and payer oversight all assume that failing systems can directly harm patients or distort evidence. That makes healthcare one of the few sectors where AI is being plugged into dense, pre‑existing regulatory schemas rather than waiting for AI‑specific laws to catch up.
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 […]
In the rapidly evolving landscape of healthcare, AI promises to revolutionize patient care, but it also brings significant risks. From algorithmic bias to data privacy breaches, the stakes are high. Effective AI governance is essential to harness the benefits of these technologies while safeguarding patient safety and ensuring compliance with regulations. This article delves into the critical challenges healthcare systems and pharmaceutical companies face, offering practical solutions and best practices for implementing trustworthy AI. Discover how to navigate the complexities of AI in healthcare and protect your organization from potential pitfalls.
The California legislature has concluded another AI-inspired legislative session, and Governor Gavin Newsom has signed (or vetoed) bills that will have new impacts on the AI ecosystem. By our analysis, California now leads U.S. states in rolling out the most comprehensive set of targeted AI regulations in the country – but now what? The dominant […]
The European Union (EU) AI Act became effective in August 2024, after years of negotiations (and some drama). Since entering into force, the AI Act’s implementation has been somewhat bumpy. The initial set of obligations for general-purpose AI (GPAI) providers took effect in August 2025 but the voluntary Code of Practice faced multiple drafting delays. The finalized version was released with less than a month to go before GPAI providers needed to comply with the law.
Collaboration Enables Streamlined Access to AI Governance Solutions for the Public Sector ARLINGTON, Va., and RESTON, Va. – August 38, 2025 – Trustible, a leader in AI governance, risk and compliance, and Carahsoft Technology Corp., The Trusted Government IT Solutions Provider®, today announced a strategic partnership. Under the agreement, Carahsoft will serve as Trustible’s Master Government […]
AI is rapidly reshaping the enterprise landscape, but organizations face growing pressure from regulators, stakeholders, and customers to ensure these systems are trustworthy, ethical, and well-governed. To help unpack this evolving space, Trustible, Schellman, and Databricks co-hosted a webinar on how AI governance frameworks, standards, and compliance practices can become strategic tools to accelerate AI adoption.
The global AI regulatory landscape has taken a completely new direction in just one year. The US was previously leading the way on AI safety, attempting to work with like minded countries on building a responsible AI ecosystem. Yet since January 2025, the Trump Administration swiftly shifted the narrative by focusing on AI innovation and pausing […]
New alliance connects technology, services, and channels to embed governance across the AI lifecycle, accelerating safe adoption for organizations Today, I’m excited to announce the global launch of the Trustible Partner Program. This ecosystem is purpose-built to weave AI governance through every stage of the AI lifecycle. Our program unites technology alliances, system integrators, resellers, […]
The Trump Administration released “Winning the AI Race: America’s AI Action Plan” (AI Action Plan) on July 23, 2025. The AI Action plan was published in accordance with the January 2025 Removing Barriers to American Leadership in AI Executive Order. The AI Action Plan proposes approximately 90 policy recommendations within three thematic pillars: Pillar I addresses […]
