Provides real-time content safety protection for large language models by detecting and preventing risks in both input and output content across multiple dimensions including compliance, ethics, and security.
Provides real-time content security for large language models by identifying and intercepting risks across compliance, ethics, and safety dimensions. It enables secure input and output monitoring through a customizable policy engine using an SSE-based interface.
AI-powered sensitive info detection and masking MCP server supporting 14+ types with regex, checksum, and optional LLM semantic detection, enabling flexible masking strategies like mask, replace, hash, and redact.
Detects Chinese sensitive/forbidden words across platforms like Xiaohongshu, Douyin, Kuaishou, and Bilibili, with risk levels and replacement suggestions.
Enables scanning LLM prompts and responses for prompt injection, jailbreaks, PII leakage, secret leakage, and other malicious content using deterministic rules, returning verdicts and safe redacted text.
