Llm Security
Showing 9 of 9 projects
Ready-to-deploy Docker templates for building real-time RAG, AI pipelines, and enterprise search applications with live data sync.
A command-line tool for red-teaming and vulnerability scanning of large language models (LLMs).
An AI-powered tool that analyzes source code to discover every endpoint, exposing shadow APIs and mapping the complete attack surface for security testing.
A security scanner that analyzes agentic AI workflows for vulnerabilities, visualizes their structure, and hardens system prompts.
A centralized repository summarizing practical and proposed defenses against prompt injection attacks on large language models.
An LLM-powered web honeypot that dynamically crafts realistic HTTP responses to mimic various applications and detect malicious traffic.
A curated list of resources for understanding, detecting, and mitigating prompt injection attacks against machine learning models.
An educational chatbot designed to demonstrate and experiment with prompt injection attacks against LLM ReAct agents.
An open-source prompt guard model that detects prompt injection attacks while mitigating over-defense against benign inputs.
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