RealmGuard

Realm Labs RealmGuard is an AI guardrail system designed to detect and block unsafe, harmful, or policy-violating outputs from AI models in real time. The system operates across multiple content categories and modalities, providing coverage for: - Harmful AI responses (e.g., dangerous, illegal, or hurtful content) - Policy violations against company-defined guidelines - Brand abuse and disparaging content - Dangerous actions triggered by adversarial inputs - Prompt injection attacks RealmGuard is built on a proprietary technology called DNI (Deep Neural Inspection), which reads the internal representations of AI model outputs rather than surface-level text patterns. This approach allows it to detect harmful content expressed in varied phrasing, languages, or modalities without requiring separate models for each task. Key technical characteristics: - Covers 20+ content safety categories - Supports 4 modalities (text, image, audio, and others implied) - Supports 50+ languages - Achieves 30 ms P99 latency - Uses KV-caching innovations to handle multi-turn conversations and streaming responses with constant latency overhead - Deployed as a single unified model covering content moderation, PII detection, prompt injection, sentiment analysis, off-topic classification, and image/audio safety - Packaged in Docker and Nvidia Triton containers - Available as SaaS or on-premises deployment Compliance coverage includes MLCommons, EU GDPR, EU AI Safety Act, NIST, FINRA, HIPAA, and OWASP frameworks.