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What is NerveMind CGOS?

NerveMind CGOS is an enterprise AI Governance & Control Plane designed to govern, protect, audit, and optimize AI models and autonomous agents across their operational lifecycle. The platform provides runtime governance, policy enforcement, AI boundary protection, human-in-the-loop approvals, continuous verification, runtime intelligence, and immutable audit evidence.

Key Capabilities
  • Runtime Governance: Applies organizational policies to AI models, agents, and AI-driven workflows at runtime, with configurable actions including ALLOW, MASK, REDACT, REQUIRE_APPROVAL, QUARANTINE, and BLOCK.
  • AI Boundary Protection: Controls sensitive data and AI interactions across enterprise environments, helping organizations enforce governance requirements before AI actions or data flows proceed.
  • Agent Governance: Provides governance for autonomous and multi-agent systems through agent registration, authorization controls, execution policies, and agent-to-agent governance.
  • Audit & Compliance: Captures governance decisions and execution evidence through telemetry, audit trails, governance proofs, and replay capabilities designed to support regulatory and internal assurance requirements.
  • AI Economics: Provides AI consumption governance and runtime visibility to help organizations understand and control AI usage, costs, and operational resources.
  • Enterprise Integration: Supports integration with enterprise security, identity, observability, IT service management, and productivity platforms, including Microsoft Sentinel, Splunk, ServiceNow, Jira, Okta/Entra ID, Datadog, AWS Security Hub, and Google Workspace.

NerveMind CGOS is designed for enterprises deploying AI in regulated or operationally sensitive environments, including banking, financial services, healthcare, pharmaceuticals, manufacturing, and other sectors where AI decisions require policy controls, traceability, and human oversight.

Categories & Use Cases

Media

Screenshot of Runtime governance continuously evaluates AI systems, agents, automation, and enterprise workflows against governance policies.
Screenshot of Centralized control center for AI governance policies, authority, execution oversight, approvals, and analytics.
Screenshot of Defines human authority, approval limits, roles, permissions, and governance controls for AI-driven execution.
Screenshot of Demonstrates AI, no-AI, and human-only governance modes with runtime enforcement and human oversight.
Screenshot of Provides evidence-backed governance across identity, agent trust, authorization, federation, and privilege controls.
Screenshot of Provides visibility into federation topology, proof chains, sovereign zones, runtime trust, and governance infrastructure.
Screenshot of Maps applicable governance frameworks and evidence signals across enterprise environments.
Screenshot of Policy-driven transaction execution control with governed, pending-approval, authorized, and rejected transaction states.

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Screenshot of Runtime governance continuously evaluates AI systems, agents, automation, and enterprise workflows against governance policies.