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awesome-cybersecurity-agentic-ai

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Multi-Agent Platforms & Frameworks
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Basic Information

This repository is a curated "awesome" list that aggregates resources related to agentic AI applied to cybersecurity. It centralizes links and short descriptions for MCP servers, research papers, open-source tools, frameworks, datasets, learning resources and communities focused on autonomous or multi-agent systems for security tasks. The collection is intended for security researchers, developers and practitioners who want a single index of projects and literature that enable agentic workflows such as autonomous penetration testing, red/blue team simulations, binary and network analysis, phishing and OSINT automation, and agent security evaluation. The README groups resources by category and invites contributions and updates, serving as a discovery hub rather than a single working product.

Links

Stars
289
App URL
https://github.com/raphabot/awesome-cybersecurity-agentic-ai
Github Repository
https://github.com/raphabot/awesome-cybersecurity-agentic-ai/blob/main/README.md

App Details

Features
Organized sections summarizing key resource categories including MCP Servers, Research, Tools, Frameworks, Datasets, Learning Resources and Communities. The MCP Servers section lists adapters and servers that expose security tools to agentic workflows, including integrations for vulnerability scanners, reverse engineering and threat intelligence. The Tools section highlights open-source security agents and scanners that test or perform autonomous security tasks. The Frameworks section points to orchestration and agent-building frameworks useful for multi-agent systems and semantic reasoning. The Datasets section collects relevant synthetic and real-world datasets for training and evaluating agents. The repo notes community resources, podcasts and contribution guidelines to keep the list collaborative and up to date.
Use Cases
This curated index accelerates research and development by surfacing relevant projects, implementations and papers so teams can quickly find MCP integrations, agent frameworks and evaluation datasets. It helps practitioners identify existing adapters to connect popular security tools to agentic workflows, discover open-source agent projects for penetration testing or defense, and learn about contemporary research on multi-agent cybersecurity approaches. Educators and students can use the datasets and papers to reproduce experiments and train agents. The learning resources and community pointers support ongoing education and collaboration. The contributions guidance enables the list to grow with emerging tools and findings, reducing time spent searching disparate sources.

Categories

Content Creation (5042)
Monetization & Business (2246)
Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1230)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (766)
Productivity Tools (679)
Writing & Editing (666)

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