Threat Hunting with Semantic Intelligence

Security agents correlate alerts, IOCs, and threat intel using semantic triggers. Novel threats surface before signatures exist.

The Problem

Alert Fatigue

SOC teams drown in thousands of alerts. Real threats hide in the noise.

Zero-Day Blind Spots

Signature-based detection can't catch what it hasn't seen before.

Slow Triage

Mean time to detect is measured in months, not minutes.

The HatiData Fix

Semantic Triggers

Fire on conceptual matches, not just exact signatures.

Threat Memory

Agents build institutional knowledge of your threat landscape.

Sandbox Analysis

Investigate in branches without touching production data.

See It in Action

SELECT a.alert_id, a.severity, a.source_ip,
       semantic_rank(m.embedding, 'lateral movement credential theft') AS threat_score
FROM security_alerts a
JOIN_VECTOR threat_memories m
  ON semantic_match(m.embedding, 'lateral movement credential theft', 0.7)
WHERE a.timestamp > CURRENT_TIMESTAMP - INTERVAL '1 hour'
ORDER BY threat_score DESC LIMIT 20;

87%

faster threat detection

<50ms

trigger evaluation

60%

fewer false positives

Related Use Cases

FinTech Compliance

Combine structured financial data with semantic context. JOIN_VECTOR links transaction tables to agent memory for intelligent fraud detection.

View use case

Legal & Contract Auditing

Immutable chain-of-thought ledger means every agent decision is hash-chained, replayable, and court-admissible.

View use case

DevOps & Incident Response

Build institutional knowledge from past incidents. Semantic search surfaces relevant runbooks and resolutions instantly.

View use case

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