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
Justin0504/Aegis
Aegis acts as a critical security layer for AI agents, operating as a pre-execution firewall that intercepts, classifies, and potentially blocks tool calls before they execute. This prevents unwanted or malicious actions such as data exfiltration, system commands, or SQL injection, which can arise from prompt interpretation or model hallucinations. It integrates seamlessly into existing agent frameworks (e.g., Langchain, Anthropic) with minimal code changes, often just one line. The platform offers a Compliance Cockpit for real-time monitoring, trace visualization, policy management, and cost tracking across all agents. Key features include a tamper-evident audit trail with hash chaining and optional signing, an agent registry for identity management and declared tool scope, and a comprehensive 'AEGIS Agent Threat Ontology' for classifying agent-specific threats. It also provides a detector plugin contract for custom security teams, an LLM egress proxy to route all LLM calls through its detection and audit chain, and universal SIEM sinks for integration with tools like Splunk and Datadog. Additionally, Aegis supports RFC 6962 transparency logs for verifiable audit records and budget guards for cost control, ensuring AI agent operations are secure, compliant, and cost-efficient.
https://github.com/Justin0504/Aegis
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