by NVISOsecurity · Agent Tool · ★ 257
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. Built on top of AutoGen. Released as part of our talks at RSAC2024: From Chatbot to Destroyer of Endpoints: Can ChatGPT Automate EDR Bypasses? The Always-On Purple Team: An Automated CI/CD for Detection Engineering Detecting the EDR running on a Windows system based on live data extracted from https://github.com/tsale/EDR-Telemetry.
| Stars | 257 |
| Forks | 52 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| Quality Score | 71.693238901808/100 |
| Open Issues | 2 |
| Last Updated | 2024-05-07 |
| Created | 2024-02-29 |
| Est. Tokens | ~155k |
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cyber-security-llm-agents is A collection of agents that use Large Language Models (LLMs) to perform tasks common on our day to day jobs in cyber security.. It is categorized as a Agent Tool with 257 GitHub stars.
cyber-security-llm-agents is primarily written in Jupyter Notebook. It covers topics such as adversary-emulation, ai, caldera.
You can find installation instructions and usage details in the cyber-security-llm-agents GitHub repository at github.com/NVISOsecurity/cyber-security-llm-agents. The project has 257 stars and 52 forks, indicating an active community.