The only AI governance platform that covers all 8 Gartner AI Governance pillars. Powered by Dendrite, our enterprise AI usage intelligence engine, AI Nerve Center discovers 100+ AI tools, scans agent security across 15 harnesses, intercepts AI data flows, and detects sensitive data - from foundation models to autonomous agents, across ISO 42001, NIST AI RMF, and the EU AI Act.
Dendrite is the enterprise AI usage intelligence engine at the heart of AI Nerve Center. Lightweight agents on every endpoint discover, inventory, monitor, and govern AI tool usage across your organization - with zero end-user disruption.
Automatically detect 100+ AI tools across 15 categories. Dendrite identifies AI agents, editors, model runtimes, SDKs, browser activity, extensions, running processes, shell history, configuration files, and locally cached models - across macOS, Linux, and Windows.
Discover and inspect MCP server configurations across 15 AI agent harnesses. Each MCP server is executed in a network-isolated sandbox and analyzed against 32 issue codes covering prompt injection, tool poisoning, command injection, malicious code, hardcoded secrets, and data exfiltration.
Monitor data flowing through AI tools from 20 data sources including browser caches for ChatGPT, Claude, Gemini, Copilot, DeepSeek, and Grok, desktop applications like Cursor, Windsurf, and Claude Code, MCP server traffic, and live HTTPS API traffic.
Classify intercepted content against 40+ detection patterns across 6 sensitivity categories: PII, credentials, financial data, medical records, proprietary content, and source code. Sensitive data is automatically redacted before storage.
Identify unauthorized AI usage through identity provider integration with Okta and Azure Entra ID. Detect OAuth consent grants, service principal creation, and sign-in anomalies for AI applications - classified as sanctioned, monitored, unsanctioned, or unknown.
Extract token usage and model information from AI tool session logs. Calculate costs using configurable per-model pricing. Visualize spend by model, by tool, and by time period with daily, weekly, and monthly trends and peak usage heatmaps.
Dendrite's 15 parallel scanners cover every category of AI tooling in your environment - from AI coding agents and model runtimes to browser extensions and shell history. A single ~9 MB agent binary, zero runtime dependencies.
MCP servers are the new attack surface. Dendrite scans 15 AI agent harnesses, executes each MCP server in a network-isolated sandbox, and analyzes for 32 issue codes across 5 severity levels.
Prompt injection, tool poisoning, cross-server tool shadowing, command injection, malicious code patterns
Insecure credential handling, hardcoded secrets, unverifiable external dependencies
Financial execution, untrusted content, privilege escalation, sensitive data exposure
Suspicious language, missing manifests, workspace exposure, local destructive capabilities
Excessive permissions, data exfiltration, obfuscated code, environment variable exposure
Claude Desktop, Claude Code, VS Code, Cursor, Windsurf, Zed, Amazon Q, Gemini CLI, and more
15+ prompt injection patterns, 12+ malicious code patterns, 11 hardcoded secret patterns
Network-isolated execution via macOS sandbox-exec and Linux unshare --net
Know exactly what data flows through every AI tool. Dendrite intercepts AI traffic from 20 data sources, classifies sensitive content against 40+ patterns, and redacts before storage. Traffic interception is opt-in with per-collector toggles.
IndexedDB, download history, SQLite, LocalStorage, and WebKit extraction across 9 browsers with multi-profile support. Covers ChatGPT, Claude, Gemini, Copilot, DeepSeek, and Grok.
JSONL and JSON session log parsing for Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Roo Code, Aider, Continue.dev, Codex CLI, and Ollama.
Monitor every tool call, argument, and response across MCP server connections. Transparent proxy with per-server volume charts and tool call breakdowns.
TLS interception with dynamic certificate generation for 8 LLM API endpoints: Anthropic, OpenAI, Google, Mistral, DeepSeek, Groq, Cohere, and Together. All non-AI traffic tunnels unmodified.
Dendrite is designed for enterprise privacy requirements. Only metadata and redacted previews leave the machine. Full conversation transcripts, API keys, credentials, personal files, and non-AI browsing history never leave the endpoint.
Machine identity and hardware details, installed AI tools and versions, browser AI domain matches (domain + count), running AI process names, shell command patterns, MCP server names. With interception enabled: redacted data flow previews (max 500 chars), sensitivity classifications, and token usage counts.
Full conversation transcripts (only 500-char redacted previews), API key values (detected but always redacted), login credentials, cookies, session tokens, personal files and documents, and non-AI browsing history.
Traffic interception is opt-in and disabled by default. Per-collector toggles for browser, Claude, MCP, file access, and HTTPS proxy. Configurable preview length and local retention period. Sensitive data redacted with [REDACTED:type] markers.
Most enterprise AI remains ungoverned. Uno's AI Nerve Center operationalizes all 8 Gartner AI Governance pillars through a three-phase approach that scales from your first model to thousands of autonomous agents.
Automatically detect and catalog every AI model, agent, and application across your organization. Identify shadow AI deployments, classify risk levels, and establish a living inventory that updates continuously - not quarterly. Covers the Inventory & Cataloging and Data Usage Mapping pillars.
Define policies, set guardrails, and conduct automated assessments across your AI estate. From bias evaluations and fairness audits to risk management and regulatory alignment - governance that keeps pace with AI deployment. Covers Risk Management, Regulatory Compliance, Responsible AI, and Evidence & Audit Trails pillars.
Automated deployment gates, continuous monitoring, and guardian agents that enforce your policies in real time. Trigger remediation workflows when models drift, agents deviate, or compliance thresholds are breached - before risks escalate. Covers the Runtime Policy Enforcement and Integration & Interoperability pillars.
Enterprises are deploying AI faster than they can govern it. The result: shadow models, unmonitored agents, regulatory exposure, and reputational risk hiding in plain sight.
Of enterprise AI deployments operate without formal governance oversight, creating blind spots in risk management and compliance posture.
Or 7% of global turnover for non-compliance. Enforcement is active and penalties are designed to be material for even the largest enterprises.
Autonomous AI agents are multiplying across enterprises. Each agent inherits and amplifies the risk profile of every model it orchestrates.
AI Nerve Center is the only platform that covers all 8 Gartner AI Governance pillars natively. Every capability is purpose-built for the agent era - not bolted on from legacy GRC tools or stitched together from point solutions.
Pure-play AI governance tools govern individual models. Uno's AI Nerve Center governs across four interconnected layers - from the foundation model to the agent network - because risk doesn't stop at a single boundary. And because it lives inside a full GRC fabric, AI risk feeds directly into your enterprise risk register.
Registry, versioning, bias audits, fairness evaluations, and performance monitoring for every foundation and fine-tuned model.
Guardrails, permission boundaries, tool-use policies, and behavioral constraints for autonomous AI agents and copilots.
Deployment gates, data lineage, input/output monitoring, prompt injection defense, and user-facing risk controls.
Cross-agent orchestration governance, cascading risk analysis, supply chain oversight, and third-party AI model assessment.
No other platform covers all 8 Gartner AI Governance pillars natively. From inventory and risk management through runtime enforcement and integration - every pillar is built in, not bolted on. No point-solution stitching required.
Pure-play tools govern AI in a silo. Uno's AI Nerve Center lives inside a full GRC platform - so AI risk feeds into your enterprise risk register, AI evidence maps to your compliance frameworks, and AI policies align with your existing control library.
As AI evolves from passive models to autonomous agents, governance must evolve too. Define behavioral boundaries, tool-use permissions, and escalation policies for every agent. MCP-aware inventory tracks agent-to-agent interactions across multi-agent workflows.
Purpose-built workflows for ISO 42001, NIST AI RMF, and EU AI Act. Automated evidence collection, gap analysis, and policy generation get you audit-ready in days, not months. Our governance engine has been trained on thousands of AI risk scenarios.
See all 8 Gartner pillars in action. Live demo of shadow AI discovery, regulatory mapping, runtime policy enforcement, and agent governance. 45 minutes + live Q&A.
Pre-mapped controls and automated evidence collection for the world's leading AI governance frameworks. Stay ahead of regulatory requirements as they evolve.
The enterprises that will lead in the next decade are the ones governing AI today - not next quarter. Shadow models, ungoverned agents, and compliance gaps are the technical debt of the AI era. AI Nerve Center covers all 8 Gartner pillars inside a full GRC fabric - making that debt visible, measurable, and actionable.