AIGQL Federation
Cybersecurity • Agentic AI • Runtime Governance

AI-Governed Execution Fabric for Secure Distributed Systems

Real-time data protection, policy-aware AI, and continuous runtime enforcement.

Explore Architecture

Dual-Plane Runtime Architecture

Experience Layer Governance & AI Interface
Control Plane AI Governance Brain
Cyber Runtime Fabric Threat • Zero Trust • Enforcement
MCP Agentic AI Engine Classification • RAG • Validation
Router / PEP Runtime Enforcement
Runtime PDP Decisions
Data Plane Federation
Telemetry Loop Learning
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Cyber Runtime Governance Fabric

Zero-trust enforcement across APIs, data, and AI pipelines.

Zero Trust Enforcement
Continuous Compliance
Threat Detection

The MCP-Governed AI Execution Loop

A unified runtime pipeline that grounds, governs, validates, and enforces every AI and data interaction in real time.

Snapshot Ingestion AI Classification Real-Time RAG LLM Inference Agent Validation Policy Enforcement

This same execution loop powers GenAI, cybersecurity enforcement, compliance automation, and federated data access.

Select an industry to see governed AI in action.

MCP Agentic AI Engine

Multi-agent intelligence governing data, policy, and AI behavior in real time.

Data Classification Structured & Unstructured
Policy Synthesis Governance → Runtime Rules
Snapshot-Grounded GenAI Hallucination-Free AI
Output Validation Policy & Fact Checks

Human-in-the-Loop + Explainable Governance

When controls trigger, teams can inspect decisions, ask “why,” and approve safe exceptions — without disabling enforcement.

Ask “Why?” Explanations Policy • Evidence • Next Steps
Human-in-the-Loop Review Approve • Escalate • Record
MCP Agentic AI Architecture 7 Agents • Orchestration

Policy-Governed Generative AI

Snapshot Classify RAG LLM MCP Validate Policy Secure Output