Repository History

4 repositories tagged with AI Security

Topic: AI Security
Awesome AI Agent Attacks: A Curated Timeline of AI Security Incidents

Awesome AI Agent Attacks: A Curated Timeline of AI Security Incidents

The Awesome AI Agent Attacks repository provides a meticulously curated timeline of real-world AI agent security incidents, breaches, and vulnerabilities from 2024 to 2026. Each entry is thoroughly sourced and dated, offering a factual overview of the evolving threat landscape in agentic AI. It serves as an essential resource for understanding the practical implications of AI security.

Analyzed Aug 15, 2026
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ADR: Uber's Enterprise Security System for AI Agents

ADR: Uber's Enterprise Security System for AI Agents

ADR (Agentic AI Detection and Response) is an enterprise security system developed by Uber to secure AI agents. It offers critical capabilities like observability, security benchmarking, and threat detection, ensuring the safe operation of both employee and customer-facing AI applications. This open-source project is deployed in production at Uber and was accepted to MLSys 2026.

Analyzed Aug 14, 2026
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LLM Guard: The Security Toolkit for LLM Interactions

LLM Guard: The Security Toolkit for LLM Interactions

LLM Guard is an open-source security toolkit developed by Protect AI, designed to fortify the safety of Large Language Models. It offers comprehensive protection against various threats, including prompt injection, data leakage, and harmful language, ensuring secure and reliable LLM interactions.

Analyzed Jun 26, 2026
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Agentic Security: LLM Vulnerability Scanner and AI Red Teaming Kit

Agentic Security: LLM Vulnerability Scanner and AI Red Teaming Kit

Agentic Security is an open-source vulnerability scanner designed for Agent Workflows and Large Language Models (LLMs). It helps protect AI systems from various threats, including jailbreaks, fuzzing, and multimodal attacks. This Python-based tool is essential for developers and security teams to proactively identify and mitigate risks in AI deployments, ensuring safer and more reliable AI systems.

Analyzed Jan 4, 2026
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