Holistic Ai Lab

Research that powers enterprise AI governance

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, agentic system governance, and risk detection, then embed these innovations directly into our platform.

This "hub" brings together Holistic AI Lab's papers, tools, and benchmarks for teams who want to go deeper into the methods behind the Holistic AI Governance Platform.

Our philosophy and commitment to research is how we continuously improve the way that AI is governed in production.

From Research to Product

Research-driven from day one

Holistic AI was founded to solve a critical gap: AI was advancing faster than it could be governed.

We continue to drive this agenda through our foundational research, hackathons, published papers, joint projects with leading universities, government collaborations, and participation in standards bodies around the world.

Today, this foundation shows up where it matters most: integrated directly into the Holistic AI Governance Platform, enabling enterprises to move faster with control and confidence.

Recognized Innovation

Recognized by the broader AI community

Our goal is simple: turn cutting-edge research into production-ready governance.

Winner

Top 10 in OpenAI's GPT-OSS-20B Red Teaming Hackathon on Kaggle — placing among 600+ global submissions competing for a $500,000 prize pool. Learn more →

Development

Enterprise-scale red teaming methodologies — see our open-source library at github.com/holistic-ai/holisticai

Contributions

AI governance frameworks aligned with emerging regulation such as NIST, OECD, and more

Creation

Tools and benchmarks used by AI developers worldwide — Explore on GitHub →

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Everything you need to go deeper

Papers, tools, and benchmarks across AI safety, fairness, robustness, and governance — all in one place.

Research

Papers & Research

Access our latest publications exploring AI safety, fairness, robustness, and governance. These papers often introduce new methodologies that later become part of the Holistic AI platform. We don't publish and walk away. We build and ship.

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Red Teaming

Red Teaming Research

Holistic AI develops advanced adversarial testing approaches designed to uncover vulnerabilities in modern AI systems. Our research explores how models behave under attack, how failures propagate, and how organizations can test AI systems before deployment.

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New

LLM Decision Hub

The LLM Decision Hub helps organizations compare large language models using structured benchmarks across safety, bias, performance, and reliability. It provides a practical resource for teams selecting models for enterprise applications.

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Open Source

Open Source & APIs

Our open-source projects allow developers to explore Holistic AI methodologies directly. Tools and APIs include libraries for bias detection, model evaluation, and AI governance testing.

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Docs

Technical Documentation

Developers and governance teams can explore detailed documentation for implementing Holistic AI tools and methodologies. This documentation provides step-by-step guidance for applying AI governance practices in real systems.

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Glossary

AI Governance Glossary

AI governance introduces new concepts and terminology that organizations must understand to operate responsibly. Our glossary provides clear explanations of the most important AI governance concepts.

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Featured Research

Recent publications

Research that introduces new methodologies and tools — many of which become part of the Holistic AI platform.

AAAI

AgentGraph: Trace-to-Graph Platform for Interactive Analysis and Robustness Testing in Agentic AI Systems

A platform for converting agentic AI execution traces into structured graphs, enabling interactive robustness analysis and vulnerability testing of multi-step AI systems.

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🏆 OpenAI Hackathon

arXiv

Mind the Gap: Evaluating Model- and Agentic-Level Vulnerabilities in LLMs with Action Graphs

Winner of the OpenAI Global Hackathon. Introduces an action graph framework for systematically evaluating vulnerabilities in large language models at both model and agentic execution levels.

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Research That Drives the Platform

The HAI Lab is where innovation, creativity, and discovery come together

Holistic AI works alongside leading global universities at the forefront of AI research—advancing areas like fairness, robustness, safety, and agentic systems. But this work doesn't stay in papers. It gets built into the platform, put into the hands of enterprises, and shared with the industry.

University College London

The Alan Turing Institute

Stanford University

Carnegie Mellon University

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Advancing AI Governance

AI governance is an emerging discipline. It requires collaboration between researchers, developers, regulators, and enterprise leaders. Through the HAI Lab, Holistic AI contributes tools, research, and knowledge to help shape a safer and more responsible AI ecosystem.

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