Holistic AI
UnclaimedThe leading AI governance platform delivering continuous oversight across the full AI lifecycle.
Visit WebsitePaidVisit Website
TL;DR - Holistic AI
- Provides continuous AI governance across the entire AI lifecycle.
- Automates AI discovery, risk management, and policy enforcement.
- Ensures compliance with global AI regulations and accelerates AI deployment.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Eliminates 'Shadow AI' through automatic discovery and inventory.
- Significantly reduces AI deployment delays and manual review times.
- Provides comprehensive compliance coverage for regulated industries.
- Enhances stakeholder confidence with verifiable governance proof.
- Continuously protects AI systems from threats and risks post-deployment.
Cons
- Specific pricing details are not publicly available, requiring a demo request.
- Requires integration with existing cloud, code, data, and SaaS environments.
- The complexity of enterprise-level AI governance may require dedicated resources for implementation and management.
Preview
Key Features
AI Discovery for models, agents, APIs, pipelines, and workflowsLive AI inventory tracking ownership, lifecycle, and business purposeContinuous monitoring of AI systems (24/7)Automated testing for bias, hallucinations, toxicity, privacy leaks, drift, and attacksAI Red Teaming and Jailbreak testingRuntime monitoring via workflow tracing, log analysis, and AI observabilityPolicy-as-code for automated controlsDeployment gates, approvals, and kill switches
Pricing
Paid
Holistic AI offers paid plans. Visit their website for current pricing details.
About Holistic AI
By Toolradar Team·
This platform provides end-to-end AI governance, enabling organizations to confidently innovate with AI at scale. It addresses the challenges of AI proliferation, continuous change, and inadequate traditional governance processes by offering comprehensive tools for visibility, control, and trust.
The platform is designed for enterprises struggling with fragmented AI governance, deployment delays, lack of unified risk views, and compliance gaps in regulated markets. It helps prevent real-world AI failures, ensures compliance with standards like NIST AI RMF, ISO 42001, and the EU AI Act, and accelerates AI project approvals by transforming governance into infrastructure rather than a bottleneck.
Reviews
No reviews yet. Be the first to review Holistic AI!
Best Holistic AI Alternatives
Top alternatives based on features, pricing, and user needs.
Portal26Paid
The GenAI-first enterprise platform for secure adoption, governance, and optimization of AI consumption.
ResolverPaid
Discover the value of risk intelligence to build resilience and proactively manage threats.
AnodotPaid
AI business monitoring
Weights & BiasesFreemium
ML experiment tracking
CartaPaid
Equity management and cap table software
Explore More
Holistic AI FAQ
How does the platform ensure continuous monitoring and protection of AI systems after deployment?
The platform provides 24/7 continuous monitoring through workflow tracing, log analysis, and AI observability. It also performs automated testing for various risks like bias, hallucinations, toxicity, privacy leaks, drift, and attacks, ensuring real-time threat detection and response, such as blocking jailbreak attempts and data leakage risks.
What specific AI governance frameworks and regulations does the platform support for compliance?
The platform maps risks and provides compliance coverage aligned with major global regulations and frameworks, including the NIST AI Risk Management Framework (RMF), ISO 42001, and the EU AI Act. It allows organizations to build custom frameworks and rulebooks to meet their specific internal standards and chosen global regulations.
Can the platform identify and manage AI systems across different cloud providers and development platforms?
Yes, the AI Discovery engine automatically detects and inventories AI systems across various sources, including AWS, Azure, GitHub, Databricks, and other SaaS applications. It builds and maintains a live inventory of models, agents, APIs, pipelines, and workflows, regardless of where they are hosted or developed.
How does the 'Policy-as-code' feature automate governance and prevent AI systems from bypassing controls?
The 'Policy-as-code' feature translates internal standards and regulatory requirements into automated controls that are enforced directly within the AI systems' lifecycle. This includes deployment gates, approval workflows, kill switches, and guardian agents, ensuring that AI systems cannot operate outside defined policies and generating continuous audit trails and evidence logs.
Source: holisticai.com