IRonMAN: InterpRetable Incident Inspector Based ON Large-Scale Language Model and Association miNing

Security

Discover IRONMAN, a cutting-edge system for incident response and analysis, leveraging large-scale language models to improve attack detection and investigation with unparalleled accuracy and scalability.

Key takeaways

The IRONMAN system is designed to analyze incident response by mining significant tokens from command lines, allowing for more accurate detection and investigation of attacks.
The system utilizes a large-scale language model to tokenize command lines into meaningful pieces, overcoming limitations of traditional mining algorithms.
The IRONMAN system has been tested on real-world data and has achieved a high accuracy rate in identifying malicious commands.
The system can analyze command lines from various formats, including query languages such as WMI, LDAP, and SQL.
The IRONMAN system is designed to be scalable and can handle a large number of command lines, making it suitable for real-world incident response scenarios.
The system provides a feature space for analyzing command lines, allowing for easy identification of significant tokens and their corresponding ideal token sets.
The IRONMAN system can be extended to handle multiple command lines or clusters of command lines, making it a valuable tool for incident response and analysis.
The system’s interpretability allows security experts and analysts to easily understand the results and make informed decisions.

IRonMAN: InterpRetable Incident Inspector Based ON Large-Scale Language Model and Association miNing

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