The sensitive data firewall for AI. Detect and mask PII (Emails, Credit Cards, CPFs) locally with zero-latency before sending prompts to LLMs. Thread-safe & Production ready.
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Updated
Dec 5, 2025 - Go
The sensitive data firewall for AI. Detect and mask PII (Emails, Credit Cards, CPFs) locally with zero-latency before sending prompts to LLMs. Thread-safe & Production ready.
A unified data masking library for Spring Boot applications that consistently masks sensitive data in JSON responses and logs, reducing GDPR/DSGVO risks while enabling secure audit and security logging.
Open-source security firewall for AI agents — validates tool calls, strips ghost arguments, enforces type safety, PII masking, RBAC, cost tracking & sandbox isolation. Works with LangChain, OpenAI Agents SDK, PydanticAI & CrewAI.
Metadata-Driven Data Masking Engine for Salesforce (Sandbox Compliance)
An OpenAI-compatible reverse proxy you run yourself. It gives you the features of an AI gateway (guardrails, budgets, rate limits, multi-provider routing) but under your control from your client.
Improved PII masking performance in adversarial conditions and diverse contexts by fine-tuning DeBERTaV3 (transformer) with PyTorch and PEFT (DoRA) with a synthetically-augmented dataset of over 150,000 rows of data on an H100 GPU on Modal.
Enterprise MCP (Model Context Protocol) Gateway — governance, auditing, and data protection for MCP traffic in regulated environments
Framework de Inteligência Artificial Local, inspirado nos frameworks OpenClaw e IronClaw, focado em privacidade e produtividade para servidores federais (INSS). Une Automação Web, RAG ilimitado e Mascaramento de Dados Sensíveis (LGPD) em terminal.
A secure, client-side PII masking tool that redacts sensitive information (emails, names, SSNs) locally in the browser before sending text to LLMs or GPT.
A security-first RAG framework featuring bi-directional PII masking and local embeddings. Designed for secure technical enablement and compliance-aware AI integration in high-discretion enterprise environments.
This repository contains a production-ready AI chatbot backend built with a strong emphasis on auditability, traceability, privacy, and compliance. It is designed for enterprise and regulated environments where every AI response must be explainable, reproducible, and verifiable.
Enterprise MCP Server per integrare Claude con gestionali/ERP italiani (AS/400, SQL Server, SAP) in sicurezza. Layer read-only con PII masking e mapping semantico per la compliance GDPR.
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