Derisk360
Glossary

Grounding

Grounding ties model outputs to verified sources — documents, graphs, MCP data — to reduce hallucination and improve auditor trust.

Grounding ties model outputs to verified sources — documents, graphs, MCP data — to reduce hallucination and improve auditor trust.

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ENTERPRISE[ 01 / 02 ]

In regulated enterprise AI

Citation-grounded answers are mandatory for coverage, credit, and compliance workflows. Grounding is enforced through retrieval policy and eval harnesses.

Key takeaways

Grounding 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 Grounding

What is Grounding?
Grounding ties model outputs to verified sources to reduce hallucination and improve trust.
Why does Grounding matter for enterprise AI deployment?
Grounding 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 Grounding relate to the 4-Layer Intelligence Stack?
Grounding maps to one or more layers — context, decisions, actions, or outcomes — in Derisk360's architecture for production agentic systems.
How does Derisk360 implement Grounding?
Through structured AI accelerators and embedded FDEs who implement grounding 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.