Guardrails service for AI agents that evaluates every tool call for safety and alignment before execution, providing default-deny policy, LLM safety evaluation, and audit trail.
Protects AI agents from prompt injection attacks, jailbreak attempts, and common web vulnerabilities by screening untrusted input through semantic LLM analysis and static pattern matching.
Provides a human-in-the-loop security layer for AI agents by intercepting file operations, explaining them with a local LLM, and enforcing a deterministic policy that requires user approval for risky actions.
A 7-layer security system for AI agents that detects and blocks prompt injection, data exfiltration, and malicious tool calls. It enables real-time scanning of inputs, outputs, and tool definitions to protect agentic workflows from emerging AI-specific threats.