Holistic AI
Company Information
Headquarters
San Francisco, California, USA
Year Founded
2020
Industries
Enterprise Software, AI Governance, Cybersecurity, Risk Management, Regulatory Compliance, Financial Services, Healthcare, Human Resources
What Is Holistic AI?
Holistic AI is an AI governance and risk management company that develops software for organizations to monitor, evaluate, and control artificial intelligence systems. Its platform helps businesses identify AI applications, assess potential risks, enforce internal policies, and manage regulatory requirements.
The company focuses on responsible AI, automated risk assessment, and regulatory compliance across machine learning models, generative AI applications, and autonomous AI agents. Its technology provides organizations with visibility into how AI is developed, deployed, and used throughout their operations.
What Does Holistic AI Do?
Holistic AI provides an enterprise software platform for managing the risks associated with developing and deploying artificial intelligence. Organizations use its technology to identify AI systems operating across their infrastructure, evaluate their performance and safety, and establish controls for responsible AI use.
The platform supports AI discovery, risk assessment, automated testing, and continuous monitoring. It helps businesses detect issues such as algorithmic bias, data privacy vulnerabilities, inaccurate AI outputs, and unauthorized AI applications.
Holistic AI also provides tools for managing regulatory obligations, documenting assessments, and maintaining records of AI governance activities.
Its AI policy enforcement capabilities allow organizations to establish approval processes, monitor autonomous AI agents, and intervene when AI systems operate outside defined policies. These functions help technology, security, legal, and compliance teams manage AI across different departments.
Holistic AI Technology
Holistic AI combines AI governance software, automated model testing, and continuous risk monitoring to provide oversight of enterprise artificial intelligence systems.
Its platform connects with cloud infrastructure, software repositories, data platforms, and enterprise applications to identify deployed AI models, generative AI tools, and autonomous agents. Automated discovery capabilities help detect unauthorized or unregistered AI systems, commonly referred to as shadow AI.
The platform uses structured assessments and automated testing to evaluate AI systems for bias, robustness, privacy, security vulnerabilities, and reliability. Its testing capabilities include AI red teaming, which simulates potentially harmful interactions such as prompt injection, model manipulation, and attempts to bypass safety controls.
For autonomous AI systems, Holistic AI uses an Agent Graph to map relationships between agents, models, tools, and data sources. This provides visibility into how agents interact with enterprise systems and which resources they can access.
Its Guardian Agents technology introduces automated supervision through two types of agents. Sentinel Agents monitor AI behavior and identify policy violations, while Operative Agents can block, redirect, or escalate actions that exceed established risk thresholds.
Holistic AI also supports governance workflows aligned with regulatory and industry frameworks, including the EU AI Act, NIST AI Risk Management Framework, and ISO/IEC 42001. These capabilities allow organizations to document assessments, track compliance requirements, and maintain audit records throughout the AI lifecycle.
Why Holistic AI Matters
As organizations adopt generative AI and autonomous agents, managing their behavior, security, and regulatory obligations becomes increasingly complex. AI systems can operate across multiple departments, access sensitive information, and make decisions without continuous human supervision.
Holistic AI addresses these challenges by providing centralized oversight of enterprise AI systems, including tools that organizations may not have formally approved or documented.
Its technology reflects a broader shift from evaluating AI models before deployment toward continuous AI governance and real-time policy enforcement. This is particularly relevant as AI agents become capable of interacting with business applications and performing tasks independently.
Holistic AI also illustrates the growing importance of specialized software that helps organizations manage AI risk, document accountability, and establish controls as artificial intelligence becomes more deeply integrated into enterprise operations.
Holistic AI Products & Platforms
Holistic AI Governance Platform
The Holistic AI Governance Platform is the company’s primary enterprise software product. It combines AI discovery, risk management, and policy enforcement in a centralized environment. Organizations use it to track AI systems, manage assessments, establish governance procedures, and maintain records throughout the AI lifecycle.
AI Discovery & Inventory
AI Discovery & Inventory identifies artificial intelligence systems across cloud infrastructure, software repositories, and enterprise applications. It creates a centralized AI inventory containing information about models, applications, ownership, risk classifications, and deployment status. The system also detects shadow AI that operates outside established governance processes.
AI Risk Assessment & Testing
This platform capability evaluates AI systems for bias, privacy, security, robustness, and reliability risks. It includes automated testing, structured risk assessments, and red teaming for generative AI and autonomous agents. Organizations can use these tools before deployment and during production to identify vulnerabilities and monitor changing risks.
AI Policy Enforcement & Compliance
AI Policy Enforcement & Compliance allows organizations to establish governance controls, manage approvals, and document compliance activities. The platform supports automated policy enforcement and assessments aligned with frameworks such as the EU AI Act, ISO/IEC 42001, and NIST AI RMF.
Holistic AI Applications
Holistic AI’s technology is used to manage artificial intelligence risks across enterprise environments and regulated industries.
In financial services, organizations can assess AI models used in decision-making, evaluate algorithmic bias, and document risk management activities. Healthcare organizations can apply AI governance controls to systems that process sensitive information or support clinical and administrative workflows.
In human resources, the platform supports bias assessments and compliance reviews of AI-based hiring and employment decision tools.
Technology companies and enterprise software providers can use Holistic AI to test generative AI applications, identify security vulnerabilities, and monitor autonomous AI agents.
The platform also supports legal, compliance, and information security teams by providing centralized AI inventories, regulatory assessments, audit documentation, and automated governance workflows.
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Frequently Asked Questions
What is shadow AI, and how does Holistic AI detect it?
Shadow AI refers to artificial intelligence tools or systems used within an organization without formal approval or oversight. Holistic AI connects to enterprise technology environments to discover AI models, applications, and agents that may not appear in existing inventories.
Can Holistic AI test large language models for security vulnerabilities?
Yes. Holistic AI supports automated testing and AI red teaming for large language models. These assessments can identify potential issues involving prompt injection, jailbreak attempts, harmful outputs, data leakage, and other security risks.
How does Holistic AI monitor autonomous AI agents?
Holistic AI uses Guardian Agents to observe autonomous agent behavior and evaluate actions against organizational policies. Sentinel Agents detect potential violations, while Operative Agents can intervene by blocking, redirecting, or escalating actions.
Does Holistic AI help organizations comply with the EU AI Act?
Yes. Holistic AI provides risk classification, governance assessments, documentation, and compliance workflows aligned with the EU AI Act. These tools support organizations in evaluating applicable requirements and maintaining evidence of their governance activities, although using the platform does not automatically establish legal compliance.
Can Holistic AI integrate with existing enterprise infrastructure?
Yes. Holistic AI supports integrations with cloud environments, development repositories, and data platforms, including AWS, Microsoft Azure, GitHub, and Databricks. These integrations help organizations discover AI assets and manage governance without replacing their existing technology infrastructure.
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