Real-time AI Compliance Monitoring for Messaging

Most capable model for nuanced compliance analysis—detects subtle regulatory violations (GDPR, HIPAA, financial regulations) with low false positives. Extended context window handles full message threads.

Open-source observability built on OpenTelemetry. Traces every compliance check, logs violations, and enables debugging of false positives. Critical for audit trails and regulatory reporting.

Orchestrates real-time and batch compliance scanning workflows. DAG-based scheduling handles message ingestion, LLM analysis, and violation alerting at scale without vendor lock-in.

Stores compliance violation patterns and regulatory context as embeddings. Enables semantic search across past violations to identify emerging compliance risks and similar patterns.

Pre-filters harmful content (hate speech, violence, sexual content) before LLM analysis. Reduces LLM token spend and improves detection speed for obvious violations.

Evaluates compliance detection accuracy against labeled violation datasets. Tracks model performance over time and enables continuous improvement of detection rules.