Cyber Threat Intelligence (CTI) plays a pivotal role in modern cybersecurity defense, providing critical insights into vulnerabilities, attacker profiles, attack tools, and Indicators of Compromise (IoCs). However, the traditional practice of analysts relying on unstructured text for report writing, while beneficial for interpersonal communication, results in inefficient and time-consuming intelligence management.
Despite STIX format and MITRE ATT&CK® matrix providing foundational infrastructure for standardized intelligence management, their high technical barriers have hindered widespread adoption. Our solution leverages Large Language Models to develop automated tools—CTI2STIX and CTI2MITREATT&CK—enabling seamless conversion from natural language intelligence to structured formats.
Furthermore, our system integrates multi-source intelligence reports, breaking down information silos and enhancing the comprehensiveness, efficiency, and accuracy of threat analysis, thereby providing organizations with more robust cybersecurity protection capabilities.
TOPIC / TRACK
AI Security & Safety Forum
LOCATION
Taipei Nangang Exhibition Center, Hall 2
7F 701B
LEVEL
Intermediate Intermediate sessions focus on
cybersecurity
architecture, tools, and practical applications, ideal for
professionals with a basic understanding of
cybersecurity.
SESSION TYPE
Breakout Session
LANGUAGE
Chinese
SUBTOPIC
LLM
Machine Learning
Threat Intelligence
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