Why Nexus
Traditional security focuses on access. Nexus AI Security focuses on execution by combining identity governance, runtime visibility, and policy-driven control into one enterprise platform.
01 · Identity
Who or what is the agent?
Identity
Extend identity governance to AI agents, service accounts, MCP tools, and machine identities. Discover them, map ownership, define entitlements, and bring them into lifecycle management and access reviews.
- AI identity discovery across agents, service accounts, and MCP tools
- Ownership mapping to accountable users or teams
- Entitlement visibility across APIs, tools, and systems
- Lifecycle management and AI identity access reviews
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02 · Visibility
What is it doing?
Visibility
See the full execution path in real time. Nexus correlates identity, MCP routing, API calls, tool usage, and behavior patterns so security teams understand what is happening, how it is happening, and whether it is normal.
- Agent → MCP → API → Tool execution tracking
- Behavior analytics and traffic intelligence
- First-time access, route change, and anomaly detection
- Timeline investigations and runtime evidence
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03 · Control
Should it be allowed?
Control
Apply Nexus Authorization Policy at the point of execution. Evaluate every AI-driven action using identity, behavior, context, sensitivity, and entitlement data, then allow, challenge, or deny in real time.
- Dynamic authorization for AI-driven actions
- Risk-based decisions using identity and runtime context
- Short-lived step-up validation for sensitive operations
- Real-time policy enforcement across APIs and tools
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04 · Governance
Is it governed properly?
Governance
Nexus AI Governance is a control plane for enterprise AI that enables organizations to define policies, detect violations in real time, and drive remediation with full auditability. It brings structure, accountability, and proof to how AI systems operate in production, ensuring they are governed just like any other critical business system.
- Define and manage policies across prompts, models, agents, APIs, and data access
- Detect policy violations in real time across LLM interactions and agent actions
- Automate remediation with ticket creation, ownership, and workflow tracking
- Provide audit-ready evidence and reporting for boards, auditors, and regulators
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