Holistic AI adds runtime enforcement to govern agent actions, controlling tools, data access, and costs across all AI systems ...

Enterprise AI inventory explained: learn why it matters for compliance and risk, and how Holistic AI automatically discovers, ...

Join the organizations that turned governance from a blocker into an enabler. Full visibility, continuous risk testing, and compliance proof — on autopilot.

You can identify every AI system in your organization. You can assess each one for risk. But if the policies you write stay as documents that nobody enforces consistently, governance breaks down the ...

Traditional AI governance relies on documentation, reviews, and after the fact audits. You write a policy, assess a model, file a report, and hope everything holds once the system goes live. Agentic ...

An agent graph is an interactive knowledge graph on our Holistic AI Governance platform that converts raw execution logs from your AI agents into a structured visual map of everything that happened ...

The bias problem in classification tasks and the different strategies used for bias mitigation. How these strategies are grouped into categories and a brief introduction of the most representative ...

AI auditing is the practice of assessing, mitigating, and assuring an algorithm’s safety, legality, and ethics. Comprehensive audits encompass the entire pipeline of the system’s life cycle, ...

Human-in-the-Loop AI (HITL) addresses the need for human oversight and accountability. Unlike fully autonomous AI systems that operate without human intervention, HITL AI involves humans at critical ...

The harmful and benign prompts were sourced from a Cornell University dataset designed to rigorously test AI security, drawing from established red-teaming methodologies. While not a reasoning-based ...