Holistic AI

Holistic AI is an enterprise AI governance platform from a company that began at University College London. It discovers models, agents and applications across an organization's cloud, code and SaaS, tests them for risk, and enforces policies with audit-ready evidence.

What It Is

Holistic AI organizes governance into three layers: Identify, Protect and Enforce. The platform connects to environments such as AWS, Azure, GitHub and Databricks (the site cites 20+ integrations). It builds an inventory of AI systems, including shadow AI, and records owners, risk levels and business purpose.

How the Workflow Runs

• Identify: AI discovery and a living inventory, with dependencies and lineage mapped automatically.
• Protect: testing for security, safety and bias. This includes red teaming for prompt injection and jailbreaks, 40+ tests covering bias, hallucination, privacy and robustness, and drift and performance monitoring in production.
• Enforce: policies turned into controls, approvals, deployment gates and human oversight. Controls are mapped to the EU AI Act, NIST AI RMF and ISO/IEC 42001, with evidence collected automatically.

Guardian Agents

Guardian Agents are a supervisory layer for autonomous AI. Sentinel Agents monitor agent actions in real time and evaluate them against policy and risk thresholds. Operative Agents can block, redirect, remediate or escalate when a threshold is crossed.

Recognition

The company says it was named a Challenger in the 2026 Gartner Magic Quadrant for AI Governance Platforms. It also lists mentions in IDC and Avasant reports.