Holistic AI
Enterprise AI governance platform for discovery, risk testing, and automated compliance enforcement.
Holistic AI is the most complete enterprise AI governance platform we've seen, with unique Guardian Agents for runtime enforcement and deep regulatory mapping. It's the right call for large enterprises under regulatory pressure, but contact-only pricing and enterprise focus make it overkill for smaller teams. If you need automated discovery and audit-ready compliance, this is a top contender.
Verified 6d ago · liveness 67/100 · cite: rightaichoice.com/tools/holistic-ai
- Enterprise risk officers managing AI governance programs
- Compliance teams needing audit-ready documentation
- ML engineering teams deploying AI at scale
- AI governance leads in regulated industries
- Individual developers or small teams without compliance needs
- Organizations with no AI models or agents to govern
- Teams looking for a free or low-cost governance tool
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Skip Holistic AI if you are a small team without regulatory compliance needs or a dedicated AI governance budget—its enterprise focus and contact-only pricing make it overkill.
Contact-only pricing means you'll need to negotiate a contract; there is no transparent tier list, and the price likely scales with the number of AI systems and integrations.
Holistic AI is priced for large enterprises with substantial AI portfolios and compliance needs; it is not cost-effective for startups or SMBs. Cheaper alternatives like Credo AI offer more accessible pricing, while open-source tools like Fairlearn are free but lack comprehensive governance features.
In short
Holistic AI — Enterprise AI governance platform for discovery, risk testing, and automated compliance enforcement. Best for Enterprise risk officers managing AI governance programs, Compliance teams needing audit-ready documentation, ML engineering teams deploying AI at scale. Contact Sales pricing.
What's new in Holistic AI
Checked 6 days agoAcross the latest 5 updates: 1 feature update, 1 launch and 3 news mentions.
The EU AI Act's deadline moved to 2027. Yours didn't
Holistic AI discusses the EU AI Act deadline extension to 2027 and implications for enterprises, emphasizing the need for continuous governance.
Holistic AI recognized in first-ever Gartner Magic Quadrant for AI Governance Platforms
Holistic AI is named in Gartner's first Magic Quadrant for AI Governance Platforms, recognizing its leadership.
The Hidden Risks of Shadow AI
Holistic AI examines the risks of shadow AI and governance strategies.
APRA's AI Letter: A Governance Guide for Australian Banks and Insurers
Holistic AI outlines steps for Australian financial institutions to comply with APRA's AI governance expectations.
Programmable Controls for Continuous AI Governance
Holistic AI announces programmable controls for continuous AI governance.
What people actually say about Holistic AI — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
43 mentions across 4 sources (Hacker News, Bluesky, GitHub, Lemmy) · researched Jul 6, 2026.
- +Research-backed foundation from UCL gives credibility.
- +Supports major regulations: EU AI Act, NIST, ISO 42001.
- +Automated shadow AI discovery across cloud, code, and SaaS.
- +Guardian Agents for runtime enforcement of AI governance.
- +Over 40 specialized risk tests including bias and safety.
- −Very few real user reviews or detailed experiences found.
- −Pricing is opaque; only contact-based, no transparent tiers.
- −Setup and integration likely require significant effort.
- −Smaller teams may find it overkill and expensive.
- −Only 110 GitHub stars for open-source counterpart.
- • Implementation consulting fees possible
- • Potential per-model or per-scan pricing not disclosed
Viability Score
How well maintained and how widely used is Holistic AI? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- AI discovery across cloud, code, and SaaS
- Real-time AI inventory monitoring
- Shadow AI detection with risk scoring
- One-click reconciliation for shadow AI
- 40+ risk tests (bias, safety, security, performance)
- LLM red teaming and adversarial testing
- Guardian Agents (Sentinel and Operative) for runtime enforcement
- Programmable controls for automated governance
- Compliance workflows (EU AI Act, NIST, ISO 42001)
- Automated audit trail and evidence collection
- Runtime agentic enforcement (tool calling, access control)
- Cost control for AI agents
- Risk scoring mapped to regulatory frameworks
- Deployment gates and kill switches
- Integration with 20+ third-party tools
About Holistic AI
Holistic AI is an end-to-end enterprise AI governance platform that helps large organizations identify, protect, and enforce AI compliance across their entire ecosystem. It automatically discovers AI systems—including shadow AI—across cloud, code, and SaaS environments, building a live inventory that updates in real time. The platform runs 40+ specialized risk tests covering bias, safety, security, and performance, including LLM red teaming and adversarial testing, and maps risk scores directly to regulatory frameworks like the EU AI Act, NIST AI RMF, and ISO 42001. Key capabilities include Guardian Agents (Sentinel and Operative) for runtime enforcement, programmable controls, and one-click reconciliation for shadow AI. Sentinel agents observe and evaluate every agent action against your policies, while Operative agents intervene and remediate in real time when risk thresholds are crossed. The platform also offers deployment gates, approval workflows, and kill switches, plus continuous audit trails and evidence collection for day-one readiness. Holistic AI integrates with major platforms like AWS, Azure, GCP, GitHub, Databricks, ServiceNow, and Zscaler, with 20+ integrations total. It is recognized by Gartner as a representative vendor in its Market Guide for Guardian Agents and featured in the first-ever Gartner Magic Quadrant for AI Governance Platforms. The platform also received the highest ranking for the AI Risk and Compliance Use Case in Gartner's Critical Capabilities evaluation. Compared to alternatives like Credo AI or open-source tools, Holistic AI is purpose-built for large enterprises with complex AI ecosystems requiring deep integration and automated compliance. It is not designed for small teams or organizations without regulatory pressure.
Behind the Verdict
Holistic AI is the most complete enterprise AI governance platform we've seen. Its end-to-end approach, from AI discovery across cloud, code, and SaaS to 40+ risk tests and automated compliance workflows, is unmatched. The Guardian Agents (Sentinel and Operative) are a unique differentiator for runtime enforcement, intervening at the moment risk thresholds are crossed. The platform's mapping to EU AI Act, NIST AI RMF, and ISO 42001 gives you audit-ready documentation from day one, and the recent recognition in Gartner's first Magic Quadrant for AI Governance Platforms adds credibility. However, this sophistication comes at a cost. Contact-only pricing and enterprise focus mean it's overkill for small teams or those without regulatory pressure. Integration complexity may require dedicated setup time, and some features, like programmable controls and runtime enforcement, are newer and may still mature. If you're a large enterprise with a complex AI ecosystem and regulatory obligations, Holistic AI is a top contender. If you're a smaller team or need a quick, low-cost solution, alternatives like Credo AI or open-source tools may be more appropriate.
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Real-world workflow fit
Concrete scenarios for the personas Holistic AI actually fits — and what changes day-one when you adopt it.
You need to ensure new AI models comply with EU AI Act before deployment.
Outcome: Using Holistic AI, you discover all AI systems, run risk tests for bias and safety, and generate evidence mapped to EU AI Act, enabling faster approval.
You want to eliminate shadow AI and enforce security policies on all AI tools.
Outcome: With Holistic AI's Shadow AI Discovery, you identify unauthorized tools, assign risk scores, and use one-click reconciliation to bring them under governance.
You need audit-ready documentation for internal and external audits.
Outcome: Holistic AI continuously collects evidence and maps controls to NIST AI RMF and ISO 42001, so you have audit-ready reports without manual effort.
Use Cases
- Automatically discover and inventory all AI models and agents across cloud and code environments.
- Continuously monitor deployed AI systems for bias, drift, and security vulnerabilities.
- Generate audit-ready compliance evidence for EU AI Act, NIST AI RMF, and ISO 42001.
- Enforce governance policies programmatically across LLM applications and agents.
- Run red-teaming exercises on LLMs to identify safety and security risks before deployment.
- Eliminate shadow AI by identifying unauthorized AI tools and bringing them under governance.
Limitations
- Holistic AI is an enterprise-grade platform with pricing available only on contact, likely putting it out of reach for small teams.
- The platform focuses on governance and monitoring rather than model development, so it complements but does not replace MLOps tools.
- Integration complexity may require dedicated setup time, and full capabilities like guardian agents are newer additions that may still mature.
- Some features like programmable controls and runtime enforcement are newer and may still evolve.
as of 2026-08-16
Verification history
We have re-verified Holistic AI 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Holistic AI's pricing actually pencils out — and where peers do it cheaper.
Holistic AI is priced for large enterprises with substantial AI portfolios and compliance needs; it is not cost-effective for startups or SMBs. Cheaper alternatives like Credo AI offer more accessible pricing, while open-source tools like Fairlearn are free but lack comprehensive governance features.
Setup time & first value
How long it actually takes to get something useful out of Holistic AI — broken out by persona, not the marketing-page minute.
For an enterprise with existing cloud and code repositories, initial AI discovery can be completed within a few hours. Full setup, including integrations and compliance mapping, typically takes 1-4 weeks depending on complexity.
Switching to or from Holistic AI
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From spreadsheet-based tracking: Import your existing AI inventory data using CSV templates.
- →From other governance tools: Use Holistic AI's APIs to sync historical risk assessments and compliance evidence.
- ↗To a lighter-weight tool: Export your AI inventory and risk reports as CSV or PDF, and use APIs to transfer data.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Holistic AI
Common stack mates teams adopt alongside Holistic AI, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
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Holistic Ai vs Audioeye
Holistic AI and AudioEye serve completely different compliance domains: AI governance vs. web accessibility. For organizations focused on managing AI risk, bias, and regulatory compliance (EU AI Act, NIST), Holistic AI is the clear choice. If your primary need is ADA/WCAG web accessibility with automated remediation and legal support, AudioEye is purpose-built. They are not direct competitors.
Holistic Ai vs Push Security
Choose Push Security if your primary concern is stopping browser-based attacks (AiTM, session hijacking) and controlling employee AI tool usage in real time, especially if you need a freemium entry point. Choose Holistic AI if you're an enterprise that needs comprehensive AI governance, bias audits, compliance workflows (EU AI Act, NIST, ISO 42001), and runtime agent enforcement — and have budget for a contact-based pricing model.
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