Nexus AI Governance
Enterprise AI Governance
Nexus AI Governance
A control plane for enterprise AI. Define policies, detect violations in real time, automate remediation, and prove compliance to boards and regulators.
Why it matters
AI governance is not just about observability. It is about control, accountability, and remediation.
Enterprises need more than dashboards. They need to define policies for AI systems, detect when those policies are violated, and operationalize remediation through tickets, workflows, and audit evidence. That is what makes Nexus AI Governance board-ready and regulator-ready.
Block sensitive data in prompts before it reaches the model
Detect unauthorized tool or API usage by AI agents
Generate evidence for audits, boards, and regulatory reviews
Require approval for high-risk agent actions like payments or privileged access
Track policy violations and create tickets in remediation systems
Map AI controls to enterprise governance and compliance requirements
Platform Features
Built for enterprise AI operations,
compliance, and control.
LLM governance for prompts, responses, model usage, and data protection
Agent governance for actions, tools, APIs, workflows, and approvals
Runtime telemetry and policy enforcement using structured execution data
Violation dashboards with severity, ownership, and remediation status
Ticketing workflows for ServiceNow, Jira, and internal operations teams
Audit-ready evidence with traceability across user, agent, model, and action
Nexus AI Governance
Give your organization a way to prove AI is operating within policy.
Create policies. Detect violations. Create remediation tickets. Show the board and regulators that AI systems are governed with evidence, not assumptions.
