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What is Workforce AI Security?

Learn how Tumeryk helps organizations enable productive use of generative AI while protecting enterprise data and enforcing security policies.

Workforce AI Security is a core Tumeryk capability designed to help organizations secure and govern how employees interact with generative AI tools such as ChatGPT, Claude, Copilot, and other enterprise or third-party AI applications.

As employees increasingly use AI for research, content creation, coding, analysis, and everyday productivity, sensitive enterprise information can potentially be shared with AI systems outside established security and governance controls. This creates a challenge for organizations that want to benefit from AI without exposing confidential data or losing visibility into workforce AI usage.

Tumeryk helps organizations address this by providing visibility and controls across human-AI interactions, prompts, responses, and data flows.

Key Workforce AI Security capabilities include:

  • AI usage visibility to help organizations understand how employees interact with AI tools.
  • Browser Protection to apply security controls where employees access and use generative AI applications.
  • Data Loss Prevention (DLP) to help prevent confidential or sensitive enterprise information from being shared with unauthorized AI systems.
  • Policy enforcement to govern AI usage according to organizational security and data-protection requirements.
  • CodeRails to apply controls to AI-assisted software development and coding workflows.

Rather than relying solely on blocking access to generative AI, Workforce AI Security enables organizations to establish defined security boundaries within which employees can use AI productively.

Tumeryk is designed to integrate with existing enterprise infrastructure, including MDM and endpoint-security environments, allowing organizations to introduce AI-specific controls without replacing their established workforce security architecture.

Workforce AI Security forms part of Tumeryk’s broader Discover → Assess → Secure → Govern approach, extending AI security and governance from models and applications to the everyday interactions between employees and AI.