AI Governance in 2026: What Regulators Are Watching
New regulatory frameworks are emerging globally. Here's what your organization needs to know about AI accountability requirements.
Research, insights, and updates shaping the future of reliable AI.
When AI systems hallucinate in enterprise environments, the costs extend far beyond immediate errors. From compliance violations to eroded customer trust, we examine the true impact of unverified AI outputs and how organizations are fighting back with systematic verification.
Read ArticleNew regulatory frameworks are emerging globally. Here's what your organization needs to know about AI accountability requirements.
A technical deep-dive into the methodology behind comparing AI responses to detect inconsistencies and hallucinations.
Healthcare providers are adopting AI verification to ensure patient safety. Learn the implementation patterns that work.
Our annual analysis of hallucination patterns across eight major LLMs, with surprising findings about improvement trends.
The legal profession is grappling with AI-generated hallucinations. We examine recent cases and emerging best practices.
As AI becomes ubiquitous, students need to learn not just how to use it, but how to verify its outputs.