How to Build an Effective AI Governance Framework
An AI governance framework is the structured system of policies, processes, roles, and controls that guides how an organization develops, deploys, and oversees AI systems. It connects governance strategy to operational execution: intake workflows, risk assessments, compliance mappings, and audit trails. This piece is for the risk and compliance professional who has a mandate and […]
How to Prepare for an AI Audit in 9 Strategic Steps
Organizations that scramble to prepare for AI audits have the same underlying problem: governance was claimed, not built. This piece is for the compliance and risk professionals who want audit readiness to be a byproduct of their ongoing governance program, not a separate sprint. The structure is here. The documentation requirements are clear. What follows […]
5 Leading AI Governance Frameworks Every Organization Should Know
Most enterprise organizations don’t face one AI governance framework. They face several simultaneously, each with different requirements, different jurisdictions, and different documentation obligations. This piece is for the compliance and risk professionals who need to understand which frameworks apply to their organization and how to govern across all of them without building separate programs for […]
Healthcare Regulation of AI: A Comprehensive Overview
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.
What is AI Monitoring?
When many technical personas hear the term monitoring, they often think of internal monitoring of the AI system.
AI Policy Series 1: Drafting Your Comprehensive AI Policy
As organizations increase their adoption of AI, governance leaders are looking to put in place policies that ensure their AI deployment aligns with their organization’s principles, complies with regulatory standards, and mitigates potential risks. But where to start in developing your policies can oftentimes be overwhelming.
Analysis – How Trustible Helps Organizations Comply With The EU AI Act
The EU AI Act sets a global precedent in AI regulation, emphasizing human rights in AI development and implementation of AI systems. While the eventual law will directly apply to EU countries, its extraterritorial reach will impact global businesses in profound ways. Global businesses producing AI-related applications or services that either impact EU citizens or supply EU-based companies will be responsible for complying with the EU AI Act. Failure to comply with the Act can result in fines up to 7% of global turnover or €35m for major violations, with lower penalties for SMEs and startups.
Analysis – Mapping the Requirements of NIST AI RMF, ISO 42001, and the EU AI Act
Navigating the evolving and complex landscape for AI governance requirements can be a real challenge for organizations. Previously, Trustible created this comprehensive cheat sheet comparing three important compliance frameworks: the NIST AI Risk Management Framework, ISO 42001, and the EU AI Act. This easy to understand visual maps the similarities and differences between these frameworks, […]
Product Launch: Introducing ISO 42001
Today, we’re excited to announce that we are now offering customers access to ISO 42001 Standard within the Trustible platform – becoming the first AI governance company to offer the standard on its platform. ISO 42001 is positioned to be the first global auditable standard designed to foster trustworthiness in AI systems by setting a […]