A Structured Workflow for Transforming Cyber Threat Intelligence into Computable Detection Patterns
A protocol for converting threat-report indicators into validated detection patterns using LLM extraction and graph-assisted component labeling.
Journal articles, conference papers, and preprints on threat intelligence, security automation, LLM evaluation, and applied machine learning.
Google ScholarA protocol for converting threat-report indicators into validated detection patterns using LLM extraction and graph-assisted component labeling.
How rubric design and evaluation mode affect alignment between human and LLM judgments.
Read preprintGroup-aware generation and multi-stage validation for turning threat indicators into detection patterns.
Investigating contextual prompts and repair strategies for vulnerabilities in real-world code.
Read at NISTAn LLM agent for repetitive threat-report analysis tasks in security operations.
Learning driving-behavior representations with a convolutional LSTM GAN for vehicle-theft detection.