Derisk360
Glossary

Knowledge Graph

A knowledge graph structures entities and relationships so agents retrieve explainable, governed context — essential for coverage, policy, and compliance questions.

A knowledge graph structures entities and relationships so agents retrieve explainable, governed context — essential for coverage, policy, and compliance questions.

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ENTERPRISE[ 01 / 02 ]

In regulated enterprise AI

Flat RAG fails on relational queries ('Is peril X covered under endorsement Y?'). Derisk360 combines graphs with MCP for live system data in banking and insurance accelerators.

Key takeaways

Knowledge Graph is essential for governed production AI — not optional for regulated deployments

Pilots that skip this discipline typically stall at proof-of-concept

Derisk360 implements through accelerators with embedded Forward Deployed Engineers

Unified context via MCP and knowledge graphs is Layer 01 of the 4-Layer Stack

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Common questions about Knowledge Graph

What is Knowledge Graph?
A knowledge graph structures entities and relationships so agents retrieve governed, explainable context.
Why does Knowledge Graph matter for enterprise AI deployment?
Knowledge Graph reduces deployment risk and determines whether agents reach governed production in regulated environments. Without it, pilots stall and compliance teams block go-live.
How does Knowledge Graph relate to the 4-Layer Intelligence Stack?
Knowledge Graph maps to one or more layers — context, decisions, actions, or outcomes — in Derisk360's architecture for production agentic systems.
How does Derisk360 implement Knowledge Graph?
Through structured AI accelerators and embedded FDEs who implement knowledge graph in your VPC — with evaluation and managed operations built in from day one.
Is this a software product I can licence?
No. Derisk360 is a services firm. You engage for production outcomes through accelerators and implementations, not shelfware.