data-privacy-stack/presidio
Presidio is an open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data, leveraging NLP and customizable pipelines.
Awesome Infra for AI › AI Safety & Guardrails
PAIG (Privacera AI Guardrails) is an open-source project focused on providing security, safety, and observability for Generative AI (GenAI) applications. It addresses the unique challenges of deploying AI models in production by offering a versatile framework that can integrate various point solutions for security and safety without requiring extensive modifications to the GenAI applications themselves. The project aims to facilitate responsible AI deployment by implementing guardrails against potential risks such as data privacy violations, biased outputs, and compliance issues. PAIG is designed to be adaptable to the rapidly evolving GenAI landscape, offering tools and methodologies to monitor, evaluate, and control AI behaviors. It supports the integration of custom policies and checks to ensure that AI applications adhere to organizational standards and regulatory requirements. The initiative focuses on enhancing trust and reliability in AI systems through proactive risk mitigation and transparent operation.
https://github.com/privacera/paig
Presidio is an open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data, leveraging NLP and customizable pipelines.
NVIDIA NeMo Guardrails is an open-source toolkit for adding programmable guardrails to LLM-based conversational applications, focusing on safety, security, and controlled dialog.
Superagent is an open-source SDK providing safety features for AI applications, including prompt injection detection, PII redaction, repository scanning for threats, and red teaming capabilities fo...
AI-Infra-Guard is a full-stack AI red teaming platform providing comprehensive security analysis, vulnerability scanning, and jailbreak evaluation for AI ecosystems and LLMs.
AI Agent Governance Toolkit (AGT) provides policy enforcement, identity management, execution sandboxing, and reliability engineering to secure autonomous AI agents in production.
Observability and policy enforcement for AI agent harnesses, hooking twelve coding and chat harnesses to record every run and block dangerous tool calls before they execute.
LLM Guard is a comprehensive open-source security toolkit designed to fortify Large Language Model (LLM) interactions by providing robust sanitization, malicious content detection, data leakage pre...
Multi-platform hook and skill guard for AI coding agents that blocks unrequested work such as generated hashes, checksums and task-scope expansion at the harness hook boundary.