Sharif Noor Zisad
2 indexed papers
Publications per year
Top categories
Frequent co-authors
Research Timeline
OpenSOC-AI is a lightweight framework that uses parameter-efficient fine-tuning of a small LLM to automate threat classification and severity assessment from raw security logs, significantly improving detection capabilities for resource-constrained SMBs.
The paper demonstrates that relying on strict regular-expression parsing for evaluating LLM-based security log classifiers introduces systematic errors, potentially causing a functional model to appear non-functional, and proposes a new benchmark to mitigate this.
Papers
When the Ruler is Broken: Parsing-Induced Suppression in LLM-Based Security Log Evaluation
The paper demonstrates that relying on strict regular-expression parsing for evaluating LLM-based security log classifiers introduces systematic errors, potentially causing a functional model to appea…