SentrySearch case study

LLM Evaluation for Threat-Intelligence Workflows

SentrySearch's public source shows a structured approach to reviewing generated threat-intelligence profiles before their findings are reused.

The evaluation contract

Each eligible profile section is evaluated across five named dimensions: completeness, technical accuracy, source quality, actionability, and relevance. The evaluator returns structured scores, missing information, weak areas, technical issues, recommended improvements, and a PASS, ENHANCE, or RETRY recommendation.

Bounded parallel validation

The parallel validator separates initial validation from enhancement work and gives each path its own concurrency limit. This makes the execution boundary visible in code instead of hiding it inside an unbounded batch.

Inspectable output

The report renderer exposes an overall quality score, section counts, per-section scores, recommendations, and a cross-section consistency result. Those fields make the evaluation output reviewable alongside the threat profile.

Public implementation evidence

• Section evaluation and structured results
• Five-dimension rubric and recommendation contract
• Bounded parallel validation and enhancement paths
• Rendered quality summary and section scores

What this proves and what it does not