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AI Governance Platforms observe, govern, and enforce guardrails on AI agent and model behaviour in production. They inventory AI systems, models, agents, and data assets; assign ownership and intended purpose; apply risk classifications and policies; manage approval workflows and human oversight levels; and control what agents and users are permitted to access. They continuously monitor for drift, bias, and incidents, generate audit-ready evidence such as model cards and impact assessments, and map controls to regulatory frameworks including the EU AI Act, NIST AI RMF, SOC 2, and ISO/IEC 27001. Primarily used by security, risk, compliance, and platform teams, they integrate with MLOps, observability, and GRC tooling.
As AI deployments scale, organisations face mounting regulatory obligations, inconsistent oversight, and opaque decision-making that expose them to enforcement action, reputational harm, and uncontrolled agent behaviour. AI Governance Platforms address the absence of a centralised system of record for AI assets, the lack of enforceable access controls over agents and models, insufficient audit trails for regulators and boards, and the difficulty of applying consistent human oversight across heterogeneous AI environments. They replace ad hoc spreadsheets and manual approval processes with structured, runtime-enforced governance, enabling faster low-risk deployments while ensuring higher-exposure systems receive appropriate scrutiny and documented accountability.
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by CultureAI
CultureAI's AI Security and Governance platform provides comprehensive visibility and policy-based control over AI tool usage across 10,000+ tools — including shadow AI and AI embedded in everyday SaaS — with real-time enforcement, audit logs, and board-ready compliance reporting aligned to ISO 42001, HIPAA, and the EU AI Act.

by Opal Security
Opal is an AI-native identity governance and access control platform that gives security teams a single place to see every identity and access path, encode access policy as code (OpalScript), and continuously enforce least-privilege via an AI reviewer (Paladin) — covering employees, service accounts, and AI agents across cloud, SaaS, databases, and AI platforms.

by Arthur
An enterprise AI governance and delivery engine that inventories AI agents and models, assigns ownership and risk classifications, enforces policies and guardrails, and provides continuous evaluation and auditability across traditional ML, generative AI, and agentic AI systems throughout the full AI lifecycle.

by EQTY Lab
An AI agent governance tool that aligns, certifies, and continuously monitors AI agents by binding business policies to agent configurations, scanning for security gaps, and enforcing compliance at runtime.

by Bedrockdata
A unified data security and governance platform that inventories, classifies, and governs enterprise data across cloud, platform, and SaaS environments using a Metadata Lake, providing capabilities including data discovery, access reviews, regulatory compliance automation, and data lineage.

by Cake
A managed AI platform that simplifies the deployment, scaling, and operationalization of AI stacks—including vector databases, RAG pipelines, and agentic workflows—with pre-integrated components, full-stack observability, and enterprise security controls.

by Fiddler AI
The Fiddler AI Control Plane is an enterprise platform that provides visibility, monitoring, and enforcement over AI…

by LaunchDarkly
AgentControl is LaunchDarkly's governance product for AI agents in production, providing prompt management, model…

by Pydantic
A full-stack AI observability and governance platform built on OpenTelemetry that provides end-to-end visibility…

by Tessl
Tessl Platform is the core management layer for AI agent skills, providing security scanning, policy enforcement…