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What is Tumeryk?

Learn how Tumeryk helps organizations measure, manage, and continuously improve AI trust, security, risk, and governance.

Tumeryk is the Trust Infrastructure for AI, providing an enterprise platform to discover, assess, secure, and govern AI across its lifecycle.

Tumeryk helps organizations address the security, risk, and governance challenges created by the growing use of generative AI, workforce AI tools, copilots, autonomous agents, and enterprise AI applications.

The platform follows a Discover → Assess → Secure → Govern approach, giving organizations visibility into where AI is being used, measurable assessment of associated risks, runtime security controls, and continuous governance.

Industry Recognition

Tumeryk was recognized in the 2025 Gartner® Cool Vendors™ for AI Cybersecurity Governance report, providing independent industry recognition of its approach to AI trust, security, and governance.

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Tumeryk addresses three interconnected areas of enterprise AI risk:

AI Posture Intelligence
Discovers Shadow AI and creates an inventory of AI models, tools, agents, services, ownership, usage, and access patterns. It combines AI discovery with automated red teaming, validation, and continuous visibility into enterprise AI risk posture.

Workforce AI Security
Helps organizations govern how employees interact with AI tools such as ChatGPT, Claude, and Copilot. It monitors AI interactions and data flows and enables organizations to enforce access and data-protection policies to help prevent sensitive enterprise information from being shared with unauthorized AI systems.

Agentic AI Governance
Helps organizations govern autonomous AI systems that can access enterprise data, invoke APIs and tools, interact with other agents, and execute actions. Capabilities include agent access control, observability, runtime guardrails, model risk audits, and continuous governance of agent actions and outcomes.

At the center of the platform is AI Trust Score™, Tumeryk’s quantitative trust and risk measurement capability. It converts technical evidence from AI testing, behavioral signals, and risk assessments into a standardized 0–1000 measure of AI trust, helping organizations understand and compare AI risk.

Together, these capabilities enable enterprises to move beyond identifying AI risk toward continuously measuring, controlling, and governing it.