Compliance

Build immutable audit trails for AI systems with structured logging, compliance-ready records, and analytics for debugging and fraud detection.

Implement multi-layer output moderation using OpenAI Moderation API, Llama Guard, toxicity scoring, and custom classifiers to keep your AI safe.

Complete pre-launch checklist for deploying LLM features to production. Cover security, performance, monitoring, compliance, and incident response.

Event sourcing for AI compliance: immutable audit trails, GDPR Article 22 compliance, replaying AI decisions, PII masking, and temporal queries for regulated industries.

Detect and redact PII before sending to LLMs, pseudonymize sensitive data, and maintain GDPR compliance with privacy-preserving AI.

Implement fairness testing, bias detection, model cards, and governance frameworks for production AI systems.

SOC 2 Type II requirements for engineering teams: what auditors check, what infrastructure to build, automated compliance evidence, and realistic timelines.