LLM Security Platform
Comprehensive LLM security controls covering prompt injection, jailbreak prevention, data leakage, insecure output handling, and OWASP LLM Top 10 compliance.
LLM Security — Protect Large Language Model Deployments
Runtime protection, adversarial testing, and continuous monitoring for LLM deployments — covering the full OWASP LLM Top 10 from prompt injection through supply chain risk.
- Input validation and prompt injection detection for all LLM context window inputs
- Output filtering — sensitive data pattern detection and harmful content classification
- Zero-trust tool permission model for LLMs with external tool access
- Runtime monitoring for anomalous queries, jailbreak attempts, and extraction attacks
- OWASP LLM Top 10 controls implemented across all LLM deployment layers
- Adversarial test suite with continuous regression for model updates
Dual-Layer Filtering
Input validation prevents injection payloads entering the context window; output filtering prevents sensitive data leaving in model responses — both layers are required for complete protection.
Production Monitoring
Continuous monitoring of LLM interactions in production detects anomalous usage patterns, jailbreak attempts, and extraction attack signatures in real time.
Compliance Ready
LLM security controls mapped to OWASP LLM Top 10, GDPR data processing obligations, and EU AI Act security requirements for AI system operators.