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.

Core Capability

Define Policies

Create governance policies across prompts, models, agents, APIs, and data access. Version, approve, and map them to regulatory frameworks.

Core Capability

Detect Violations

Continuously monitor AI execution in real time and detect policy violations across LLM interactions, agent actions, and downstream systems.

Core Capability

Remediate with Workflows

Automatically create tickets, assign owners, track remediation, and generate audit-ready evidence for 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
Require approval for high-risk agent actions like payments or privileged access
Detect unauthorized tool or API usage by AI agents
Track policy violations and create tickets in remediation systems
Generate evidence for audits, boards, and regulatory reviews
Map AI controls to enterprise governance and compliance requirements
Regulatory summary showing AI governance controls and compliance mapping
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

How Nexus AI Governance works

1

Set Policies

Define policies for models, prompts, agents, tools, data access, geographic restrictions, approval thresholds, and audit rules.

2

Detect Violations

Capture execution data from AI systems in real time and evaluate every event against active policies to identify non-compliant behavior.

3

Remediate and Report

Create remediation tickets, route them to the right teams, track closure, and generate evidence for boards, auditors, and regulators.

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.