The Open Source Firewall for LLMs. A self-hosted gateway to secure and control AI applications with powerful guardrails.
Detect and redact PII locally with SOTA performance
Real-time behavioral intelligence for call centers. Transcribes support calls, redacts PII, extracts emotional tone, classifies issues, and delivers insight-rich dashboards — powered by GPT-3.5 (cheap tokens), Whisper, DuckDB, and a polished React+TypeScript frontend. No Azure. No Power BI. No vendor lock-in. Just full-stack AI that runs local.
Logging Redactor is a Python library designed to redact sensitive data in logs based on regex patterns and / or dictionary keys.
🧠 Universal long-term memory for AI agents. GraphRAG-powered knowledge base with vector search + graph traversal. Privacy-first, local-only, MCP-compatible. Connect Claude, Copilot, or any AI assistant.
Middleware library for pydantic-ai agents - before/after hooks for guardrails, logging, rate limiting, PII redaction, content moderation, and input validation.
DRAFT: This project synchronizes SysAid support tickets (Service Requests) into Azure DevOps (ADO) as Bugs
Lightweight PII redaction pipeline using Hugging Face NER + regex (Python) 96.5% accuracy
Masker - PII Redaction API for LLMs. Remove personal data before sending to ChatGPT, Claude, etc.
This repository contains a solution for Multimodal PII (Personally Identifiable Information) Redaction using Amazon Bedrock. The solution provides a workflow for detecting and redacting PII from emails and attachments using various AWS services including Amazon Bedrock Data Automation, Amazon Bedrock Guardrails, Lambda, S3, DynamoDB, and more.
Context hygiene & risk adjudication for LLM pipelines: secrets, PII, prompt-injection, policy redaction & tokenization.
⚡ REDACT V2 is a privacy-first desktop app that automatically detects and redacts PII (Personally Identifiable Information) from text, PDFs, and Word docs. Built with Electron.js & Node.js, it uses Hugging Face NER models for secure offline/online redaction with a clean UI.
Stop secret leaks at the source. Secure your logs with Dotset Shield.
Application to detect and redact Personally Identifiable Information (PII) from customer interactions.
An extensible toolkit to test data loss prevention (DLP) software. Verify DLP masking or redaction functionality by launching test cases with traditional types of PII or generate your own custom test suite
A Cloud Native solution for detecting, alerting, and redacting PII (Personally Identifiable Information) from Kubernetes logs.
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