Best AI Governance Tools

To enable businesses to innovate fearlessly in the age of AI by transforming how they safeguard themselves with the world's most advanced AI security platform.​

Aurva provides a runtime security layer specifically designed for agentic AI architectures and LLM-driven workflows. It monitors granular data access patterns of AI agents, detects behavioral anomalies that signify prompt injection or agent hijacking, and enforces real-time compliance controls. The platform complements existing WAFs and API security tools by providing visibility into the internal logic and data orchestration of autonomous agents.

Barndoor is one platform for AI access, safety, and control.

Dynamo AI specializes in the governance and security of Large Language Models (LLMs) and Generative AI agents. The platform provides automated red-teaming to identify prompt injections and jailbreaks, alongside real-time guardrails to prevent data leakage and ensure model alignment. It serves CISOs and AI leaders who need to maintain auditable compliance and safety across enterprise AI deployments.

Kindo offers an enterprise-grade AI governance and orchestration platform that provides a control plane for LLM usage and agentic workflows. It unifies context across disparate AI models and operations stacks, ensuring that internal and external LLMs adhere to organizational security and compliance policies. The platform provides a full toolchain for building governed AI automation while maintaining visibility into data and model lineage.

Openlayer is the AI governance platform that helps enterprises discover, test, monitor, govern, and optimize AI systems across their entire lifecycle, from prototype to production.

Operant is built by a world-class team with decades of experience in networking, machine communications, and cybersecurity. Our founders have a track record of commercializing next-generation technologies, often creating entirely new product categories. Today, we are applying that expertise to the next frontier: trust for machine and AI communications in dynamic, distributed environments. Recognized by the U.S. Department of Energy as building "game changing" technology, Operant is pioneering Zero Trust for machines and AI, proven in critical infrastructure, and built to extend as AI reaches further into the physical world.

OX Security is an enterprise software supply chain security platform that focuses on securing code, dependencies, build pipelines, and container artifacts across the SDLC. It emphasizes end-to-end traceability from code to runtime, continuous verification of pipeline integrity, and consolidation of findings into a single dashboard for triage and response. OX appears strongest for teams that want software supply chain controls and visibility without sending source code to third-party services, and it also offers adjacent application security and ASPM capabilities.

Every company should be able to innovate with AI as confidently as they build in the cloud. Generative AI adoption can be safe, accountable, and scalable -- when organizations have the visibility and control they need to manage risk, meet compliance standards, and build trust.

We are on a mission to secure the autonomous enterprise. As AI agents evolve from simple assistants to independent actors, Token Security provides the identity lifecycle and intent-based access management required to securely turn AI potential into a competitive advantage.

Xeris AI provides specialized security for Agentic AI and workflows utilizing the Model Context Protocol (MCP). The platform uses autonomous 'Super Agents' to monitor, govern, and intercept AI behaviors at the agentic layer, preventing unauthorized actions before they execute. It is designed to tackle the unique challenges of autonomous AI agents that can perform tasks and access data independently within an enterprise environment.