NVISOsecurity/cyber-security-llm-agents

A collection of agents that use Large Language Models (LLMs) to perform tasks common on our day to day jobs in cyber security.

40
/ 100
Emerging

Built on Microsoft's AutoGen framework, it orchestrates multi-agent workflows where specialized agents collaborate to tackle security tasks like EDR detection and evasion analysis. The modular architecture lets teams define custom scenarios in Python that combine agents with LLM-generated code execution, though it requires careful sandboxing since agents can generate and run arbitrary commands. Pre-built workflows cover detection engineering automation and endpoint analysis, with Jupyter notebook support for interactive development and remote demos.

257 stars. No commits in the last 6 months.

No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 22 / 25

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257

Forks

52

Language

Jupyter Notebook

License

Last pushed

May 07, 2024

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