Governance Tools

Fiddler AI

AI-native

Fiddler is an AI observability and security platform for monitoring predictive, generative, and agentic AI systems. It combines evaluations, explainability, guardrails, performance monitoring, and enterprise governance controls.

Lakera Guard

AI-native

Lakera Guard is an AI security and guardrails layer for protecting generative AI applications against prompt injection, jailbreaks, unsafe content, and sensitive-data leakage. Lakera's technology is now part of Check Point's AI security portfolio.

Fairly AI

AI-native

Fairly AI provides AI governance, risk, and compliance tooling intended to connect technical and policy teams around oversight. Its platform focuses on applying governance controls and evidence across the AI lifecycle.

ModelOp

AI-native

ModelOp is an enterprise AI lifecycle management and governance platform that creates a system of record for AI use cases, automates policy workflows, tracks risk and value, and manages approvals, testing, monitoring, and audit evidence.

Holistic AI

AI-native

Holistic AI is an enterprise AI governance platform for discovering AI systems, assessing risk, red-teaming models and agents, monitoring deployments, and enforcing controls against frameworks such as the EU AI Act, NIST AI RMF, and ISO 42001.

Credo AI

AI-native

Credo AI is an enterprise AI governance platform for managing AI risk, policy, regulatory requirements, controls, evidence, and oversight across AI systems. It is aimed at operationalizing responsible AI rather than treating governance as static documentation.

Cloudskill

Cloudskill is a management layer for organizational AI-agent skills. It gives teams a controlled catalogue with versioning, distribution, access policies, and audit trails for skills used by AI agents.

OpenBox

OpenBox is an AI trust and governance platform focused on controlling how autonomous agents act in production. It provides policy enforcement, identity, authorization, auditability, and risk controls around agent activity.

Prefactor

Prefactor evaluates and observes AI agents in production, scoring runs for quality, drift, risk, and cost. It also supports runtime controls such as holding, approving, or blocking high-risk actions.