NerveMind CGOS Features & Capabilities
A capability map grounded in product positioning. Treat demos and roadmap items as separate from contracted production scope.
NerveMind CGOS features center on runtime control: policy evaluation before AI execution, human authority where required, data pathway constraints, and evidence that can be reviewed later.
This page maps capabilities for evaluation. It does not invent benchmarks, customer logos, patent grants, or certification claims.
Core capability map
| Capability | What it means in CGOS |
|---|---|
| Runtime policy enforcement | Evaluate governed requests before permitted execution |
| Human authority gates | Require human approval for elevated-risk decisions |
| AI agent / tool governance | Authorize tool proposals on governed trajectories |
| AI data pathway governance | Classify and constrain data authorized for AI pathways |
| Boundary controls | Apply allow / mask / redact / block style outcomes on configured egress |
| Governance evidence | Retain decision lineage for audit and replay workflows |
| Tenant isolation | Organization-scoped data and control-plane operations |
| Provider pathway controls | Govern approved AI provider routes where integrated |
Related platform surfaces
Detailed capability marketing also lives under /platform. Use those pages for deeper product-area narratives; use this page as the CGOS-branded features index.
- /platform/runtime-governance — pre-execution governance
- /platform/ai-control-plane — control-plane positioning
- /platform/agent-governance — agent authorization
- /platform/policy-engine — policy binding
- /platform/ai-boundary-protection — boundary engine narrative
- /platform/audit-layer — auditability surface
Implemented vs planned — evaluation discipline
During procurement, ask NerveMind to mark each capability as implemented and tested in your proposed configuration, supported with configuration prerequisites, planned, or out of scope. Do not treat marketing diagrams as acceptance evidence.
Architecture deep dive
For layer diagrams and deployment framing, see /architecture and /ai-governance-architecture. For category definition of runtime governance, see /runtime-ai-governance.
Frequently asked questions
Where is the full architecture explained?
Use /architecture for the product architecture narrative and /ai-governance-architecture for category architecture framing. /nervemind-cgos-architecture redirects to /architecture to avoid duplicate URLs.
Do features equal certifications?
No. Features describe product capabilities. Certifications, attestations, and legal compliance are separate artifacts and processes.
Continue in the NerveMind CGOS knowledge hub
- NerveMind CGOS Overview →
- What Is NerveMind CGOS? →
- How NerveMind CGOS Works →
- How NerveMind CGOS Helps Enterprises →
- Problems NerveMind CGOS Solves →
- Human Oversight & Authorization →
- NerveMind CGOS for Fortune 500 Enterprises →
- Why Runtime AI Governance Matters →
- What Is Enterprise AI Governance? →
- What Is Runtime AI Governance? →
- AI Governance for Autonomous Agents →
- AI Governance Architecture →
- Best Enterprise AI Governance Platforms →
- AI Governance vs AI Observability →
Related NerveMind CGOS product pages
Deeper product and solution detail lives on existing public pages — use these for capability-specific exploration.
Request a NerveMind CGOS Enterprise Demonstration
Evaluate runtime policy enforcement, human authorization, and audit evidence against your enterprise AI pathways. Demonstration scoping starts from your architecture—not a generic pitch deck.
Contact NerveMind AI →NerveMind CGOS is an Enterprise AI Governance Operating System from NerveMind AI, Inc.. This page is a public reference resource. It does not constitute legal advice, regulatory certification, or a claim of formal compliance approval.