LLM Shield
Protect Your AI Systems from Emerging Threats
As organizations rapidly deploy AI-powered features, they expose themselves to an entirely new class of security threats. LLM Shield provides real-time protection through 12 specialized security agents that monitor and protect your LLMs, RAG pipelines, and AI agent workflows from prompt injection, data leakage, and sophisticated manipulation attacks that traditional security tools cannot detect.
LLM Shield Protection Flow
How LLM Shield Protects Your AI Stack
See the difference between an unprotected AI architecture vulnerable to attacks, and a protected system with LLM Shield intercepting threats before they spread.
Protected LLM Architecture
LLM Shield intercepts and validates all AI communications
Security Proxy
Resources
Multi-Layer Defense Architecture
12 specialized security agents organized into four defense layers
Input Protection Layer
First line of defense against malicious inputs
Processing Security Layer
Monitors AI inference and decision-making
Output Safety Layer
Validates and secures AI responses
Infrastructure Security Layer
Secures AI network and protocols
Secure Your RAG Pipelines
Retrieval-Augmented Generation brings unique security challenges. LLM Shield protects:
- Vector database queries from injection attacks
- Retrieved context from data poisoning
- Output generation from hallucination risks
- User data from being leaked in responses
RAG Pipeline Protection
Every query is analyzed, filtered, and secured before reaching your LLM
A2A & MCP Protocol Security
Secure AI Agent Communication
As AI systems become more interconnected, secure communication between agents is critical. LLM Shield provides:
- A2A protocol vulnerability testing
- MCP message inspection and filtering
- Tool execution verification
- Cross-agent data protection