Search results for "cybersecurity"
Security intelligence API and MCP server for AI agents. 25 tools, 35+ endpoints: CVE/EPSS/KEV, domain recon, SSL, IP reputation, threat intel, email security, code scanning. Free, no signup.
π‘βοΈAI-Powered Penetration Testing Framework with automated vulnerability scanning, multi-agent system, and compliance reportingπ‘βοΈ
An AI-powered agentic red team framework that automates offensive security operations, from reconnaissance to exploitation to post-exploitation, with zero human intervention.
754 structured cybersecurity skills for AI agents Β· Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF Β· agentskills.io standard Β· Works with Claude Code, GitHub Cop
Autonomous Offensive Security Intelligence AI-powered multi-agent penetration testing
βοΈ Enable AI agents to conduct autonomous penetration testing on any Linux distribution with a persistent and robust Model Context Protocol server.
Agentic memory for CTI in Python β STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents
Automatically Update LLM-Agent Papers Daily using Github Actions (Update Every 12th hours)
Dragon Brain β persistent long-term memory for AI agents via MCP (Model Context Protocol). Knowledge graph (FalkorDB) + vector search (Qdrant) + CUDA GPU embeddings. Works with Claude, Gemini CLI, Cur
π οΈ Automate penetration testing with SploitGPT, an AI agent using Kali Linux tools for efficient security assessments and minimal user input.
Project CodeGuard is an AI model-agnostic security framework and ruleset that embeds secure-by-default practices into AI coding workflows (generation and review). It ships core security rules, transla
Watchtower is a simple AI-powered penetration testing automation CLI tool that leverages LLMs and LangGraph to orchestrate agentic workflows that you can use to test your websites locally. Generate us
Project CodeGuard is an open-source, model-agnostic security framework that embeds secure-by-default practices into AI coding agent workflows. It provides comprehensive security rules that guide AI as
π€ Build advanced AI agents with a collection of production-ready applications using modern frameworks for single and multi-agent systems.
Automate red teaming by using AI to plan attacks, run security tools, move laterally, and escalate privileges in network environments.
π Automate research tasks with the Autonomous Research Agent, utilizing intelligent queries and parallel searches to create concise, comprehensive reports.
Python package that interfaces with the Internet Archive's Wayback Machine APIs. Archive pages and retrieve archived pages easily.
MCP server for 28 security frameworks (ISO 27001, NIST CSF 2.0, NIST 800-53, SOC 2, IEC 62443)
