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generative-ai-security

Here are 7 public repositories matching this topic...

A comprehensive reference for securing Large Language Models (LLMs). Covers OWASP GenAI Top-10 risks, prompt injection, adversarial attacks, real-world incidents, and practical defenses. Includes catalogs of red-teaming tools, guardrails, and mitigation strategies to help developers, researchers, and security teams deploy AI responsibly.

  • Updated Apr 3, 2026

Self-healing AI agent security framework for LangGraph multi-agent systems — prompt injection firewall, Neo4j trust graphs, real-time anomaly detection & automated rollback. Built with FastAPI, React, Neo4j & Redis to secure autonomous AI agent swarms against adversarial attacks.

  • Updated Jun 6, 2026
  • Python

Mindgard — independent third-party profile of a public API surface, by API Evangelist. Mindgard is a UK-based offensive AI security company (London/Lancaster, spun out of Lancaster University) that provides an automated AI red-teaming and security testing platform for large language models, AI agents, and generative AI systems.

  • Updated Sep 12, 2026

Concentric AI — independent third-party profile of a public API surface, by API Evangelist. Concentric AI provides an AI-driven data security governance platform built on its proprietary Semantic Intelligence technology to autonomously discover, classify, monitor, and protect sensitive data across cloud and on-premises environments.

  • Updated Sep 13, 2026

HiddenLayer — independent third-party profile of a public API surface, by API Evangelist. HiddenLayer is an Austin, Texas-based AI security company founded in March 2022 by Chris Sestito (CEO), Tanner Burns (Chief Scientist), and Jim Ballard (CIO) — former Cylance researchers who encountered a real-world attack on production ML models.

  • Updated Sep 12, 2026

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