Does Tumeryk support multi-cloud and on-premises AI environments?

Yes. Tumeryk is designed to support multi-cloud and on-premises environments, enabling organizations to apply AI security, risk assessment, and governance across different deployment architectures.

Enterprise AI environments are rarely built around a single model, provider, or infrastructure platform. Organizations may simultaneously use third-party AI services, internally hosted models, enterprise AI applications, copilots, workforce AI tools, and autonomous agents.

Tumeryk’s model- and platform-agnostic architecture is designed to provide a common approach to trust, security, and governance across these heterogeneous environments.

Govern different layers of enterprise AI

Tumeryk is designed to govern AI across multiple levels, including:

• Foundational models
• Enterprise AI applications
• Copilots and workforce AI tools
• Autonomous AI agents
• Agent-to-agent interactions

This allows organizations to establish a consistent governance approach rather than creating entirely separate processes for every AI model, application, or provider.

AI visibility across the enterprise

Through AI Posture Intelligence, Tumeryk helps organizations discover AI tools, models, applications, and agents and build a centralized view of their enterprise AI footprint.

This provides security and governance teams with greater visibility into AI usage, ownership, access patterns, and associated risks across their environments.

Extend controls as AI adoption grows

Tumeryk follows a Discover → Assess → Secure → Govern lifecycle.

Organizations can begin by discovering AI usage and assessing risk, then progressively extend controls into areas such as Workforce AI Security, Agentic AI Governance, runtime guardrails, policy enforcement, and continuous monitoring.

This approach enables AI governance to evolve alongside enterprise AI adoption while supporting workloads operating across different infrastructure and deployment environments.