Large AI Model Firewall — AI Application Security
End-to-end LLM and Agent security across every interaction — input, model, and output
Large AI Model Application Firewall
A one-stop, end-to-end solution designed to secure large language models (LLMs) and Agents across every interaction. Built for the unique security and compliance challenges of modern AI deployments, it establishes a robust protective layer between users and AI models — ensuring trust, reliability, and regulatory adherence.
Core Security Pillars
Input/Output Semantic Security, Attack Protection, and Compliance — three foundations safeguarding AI systems
Input/Output Semantic Security
Multi-modal detection across text, image, audio, and video secures both user inputs and model outputs. Pretrained security models enable Model-as-a-Model protection, achieving over 95% accuracy in identifying factual inconsistencies, harmful content, and privacy leaks.
Comprehensive Attack Protection
Defends against backdoor, poisoning, gradient, and manipulation attacks with full coverage of the OWASP LLM Top 10 vulnerabilities. Success rate exceeds 95% in mitigating sophisticated real-world exploits.
Enhanced Security & Compliance
Fine-grained access control and proactive data leakage prevention aligned with GDPR, EU AI Act, NIST AI RMF, and ISO/IEC 24089 — helping organizations meet stringent regulatory requirements seamlessly.
Key Advantages
Unique combination of efficiency, performance, and comprehensive protection for mission-critical AI
Ultra-Lightweight Efficiency
Optimized for 8GB GPUs, consuming just 1/10 of the resources of competing solutions. Cost-effective deployment without sacrificing security performance.
High Vulnerability Coverage
Assesses and protects against over 2,000 system vulnerabilities with 60+ evaluation criteria including misinformation, violence, and bias categories.
Advanced Attack Detection
Detects 30+ adversarial attack types including jailbreaking, prompt injection, and automated attacks, neutralizing attempts to manipulate or compromise AI models.
Full Multi-Modal Protection
Native security across text, image, audio, and video — comprehensive protection for modern multi-sensory AI applications.
Ultra-Low Latency
Detection latency under 200ms, ensuring seamless user experience with real-time security checks for customer-facing and high-throughput applications.
Technical Foundations
Built on attack samples, specialized model characteristics, and optimized algorithms
Attack Samples & Threat Intelligence
- Vast, continuously updated library of attack samples for training and testing
- Red team collaboration simulating real-world adversarial scenarios
- 30+ categorized adversarial techniques forming Model-vs-Model defense basis
- Foundation for advanced defensive strategies using AI security models
Specialized Model Characteristics
- Deep semantic understanding for accurate context-aware threat detection
- Bidirectional context analysis for nuanced multi-turn conversation threats
- Pre-training and fine-tuning pipeline with multi-head attention mechanisms
- Identifies complex multi-stage attacks evading rule-based systems
Optimized Algorithm Performance
- Average detection accuracy above 95%, critical threats identified at 98%+
- False positive rate below 2%, minimizing operational overhead
- 50+ concurrent requests per second on 8GB GPU for enterprise-grade scale