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Govern and secure AI applications with stronger access, compliance, and controls.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nexus" yet — see the docs or source repo.
Design an access control policy for our AI applications covering admins, developers, and regular employees. Specify which models, data scopes, and actions each role can access.
A clear role-permission matrix and access control recommendations for AI security governance.
Review our AI usage workflow for security and compliance risks, including sensitive data exposure, prompt injection, and missing audit logs, then provide a remediation checklist.
An AI risk assessment listing key issues, impact areas, and prioritized remediation actions.
Create an auditing and monitoring plan for an internal AI platform, including what operation logs, abnormal behaviors, model call records, and alert conditions should be tracked.
An actionable AI auditing and monitoring framework to detect anomalies and support audit requirements.
Self-host a multi-MCP assistant with tool orchestration and safe task execution.
Create and inspect agent tasks, discover capabilities, and run NexusToken V2 jobs.
Connect AI to Unreal Engine for natural language development interactions.
Manage enterprise AI governance, compliance, spend tracking, and model routing centrally.
Coordinate heterogeneous LLM coding agents through versioned document exchange and notifications.
Securely govern enterprise AI tool execution with access control and auditing.