Holistic AI

Overview

Holistic AI provides an enterprise AI governance platform designed to help organizations identify, protect, and enforce AI governance at scale. The platform offers an end-to-end solution for managing AI risk, ensuring compliance, and providing continuous oversight of AI systems. It is developed by Holistic AI, a company focused on operationalizing AI governance through research and product development.

Key Features

• AI Discovery — Automatically scans cloud platforms, code repositories, and SaaS applications to build and maintain a complete AI inventory.
• Risk Assessment and Monitoring — Conducts over 40 specialized tests for bias, safety, security, and performance, with continuous monitoring of deployed models.
• Compliance Enforcement — Automates compliance workflows, collects audit evidence continuously, and enforces policies across the AI portfolio.
• Red Teaming and Adversarial Testing — Provides dynamic adversarial testing, jailbreak resistance, and prompt injection detection for AI systems.
• Policy and Control Management — Offers built-in frameworks for regulations like the EU AI Act, NIST AI RMF, and ISO 42001, with automated control mapping.
• Audit Trails and Reporting — Generates continuous audit trails, evidence collection, and compliance reporting for regulatory requirements.

Who It's For

Holistic AI is designed for enterprises deploying AI at scale that require robust governance, risk management, and compliance processes. It targets organizations looking to manage shadow AI, mitigate risks like bias and security vulnerabilities, and ensure adherence to evolving AI regulations. The platform serves legal, security, and compliance teams, as well as AI developers and operational stakeholders within large companies.

Notable Strengths

The platform's strength lies in its research-driven approach, with the Holistic AI Lab continuously developing and integrating advanced methodologies for AI testing and governance directly into the product. This includes capabilities like agentic AI supervisory and enforcement, and enterprise-scale red teaming. Its comprehensive, automated discovery and continuous monitoring features address the challenge of ungoverned AI systems across diverse enterprise environments.