Analysis - How Trustible Helps Organizations Comply With The EU AI Act

Analysis – How Trustible Helps Organizations Comply With The EU AI Act

April 5, 2024

The forthcoming EU AI Act promises to be the most consequential global regulation for AI to date, impacting businesses of all sizes around the world.

What is 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.

Importantly, the AI Act applies a tiered compliance approach, requiring each AI system to be classified as Unacceptable, High, Limited, and Minimal Risk. The compliance obligations scale with each tier.

In our new white paper, we analyze each of the key obligations from the EU AI Act and how the Trustible Responsible AI Governance platform helps you comply with the law.

Navigating the evolving and complex landscape for AI governance requirements can be a real challenge for organizations. Trustible has created both a detailed analysis and a comprehensive cheat sheet comparing three important compliance frameworks: the NIST AI Risk Management Framework, ISO 42001, and the EU AI Act. These guides are designed to help you understand each of the key obligations of all three frameworks and compare them against each other.

Read the Full Analysis

Shadow AI: What It Is, Why It Matters, and What To Do About It

Shadow AI has climbed to the top of many security and governance risk concerns, and for good reason. But the phrase itself is slippery: different teams use it to mean different things, and the detection tools being marketed as ‘Shadow AI detectors’ often only catch a narrow slice of the problem. That mismatch creates confusion for security and compliance teams, and business leaders who only want one thing: reduce data leakage, regulatory exposure, and business risk without strangling the organization’s ability to innovate.

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.