Holistic AI is an AI governance platform built for enterprise scale. Our research is foundational to what we do. We develop and operationalize new approaches to AI testing, agenti ...

AI agents aren't just generating text anymore. They're calling tools, accessing systems, and taking actions on your behalf. And for most enterprises, that's created three new risks overnight: The ...

Enterprise AI inventory explained: learn why it matters for compliance and risk, and how Holistic AI automatically discovers, ...

Join the organizations that turned governance from a blocker into an enabler. Full visibility, continuous risk testing, and compliance proof — on autopilot.

The bias problem in classification tasks and the different strategies used for bias mitigation. How these strategies are grouped into categories and a brief introduction of the most representative ...

The world has seen a massive surge in the production and use of AI in the last decade, especially in the field of large language models (LLMs). Accordingly, one of the defining corporate challenges of ...

AI auditing is the practice of assessing, mitigating, and assuring an algorithm’s safety, legality, and ethics. Comprehensive audits encompass the entire pipeline of the system’s life cycle, ...

Human-in-the-Loop AI (HITL) addresses the need for human oversight and accountability. Unlike fully autonomous AI systems that operate without human intervention, HITL AI involves humans at critical ...

The harmful and benign prompts were sourced from a Cornell University dataset designed to rigorously test AI security, drawing from established red-teaming methodologies. While not a reasoning-based ...

Recommendation systems have become ubiquitous in our digital lives, influencing the content we consume, the products we purchase, and the information we encounter online. Fuelled by vast amounts of ...