Hallucination Defense & Response Consistency

Consistent, scored, grounded answers verdict-gated, in your VPC.

Same question, same governed answer – and every answer scored

“The model made it up” and “the model answers differently every time” are board-level risks for regulated teams. DeepintShield turns both into measurable controls: a three-tier resolver guarantees equivalent questions return the same approved answer, while a six-metric pipeline scores every response for faithfulness, relevance, coherence, helpfulness, and citation precision – with zero added latency to user traffic, inside your own VPC.

Key Features

Three-tier Consistency

Golden Registry → exact-match → verifier-gated semantic cache; the first hit short-circuits the LLM entirely.

Verdict-gated Caching

Only guardrail-passed, PII-free, tool-call-free answers become reusable, so a replay never serves something today’s policy would block.

Six-metric Scoring

Faithfulness (NLI), relevance, coherence, helpfulness (LLMjudge), citation precision, and a composite hallucination score - per request, per key.

Pre-LLM Grounding

Inject grounding, anti-fabrication, citation, and uncertainty directives with a temperature clamp - zero extra round-trips.

Golden-answer Registry

Pin canonical Q/A for regulated topics; every row is guardrail-scanned before admission, versioned, and retained for audit.

Self-hosted with BYOK

In-process, queue-shedding evaluation with your own embedding keys - no prompts or keys egress for the accuracy layer.

LLM hallucination detection, self-hosted hallucination evaluation, response consistency cache, faithfulness scoring NLI, golden answer registry, verdict-gated LLM cache

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Hallucination Defense & Consistency

"Govern, Secure and Control every AI Action"