Large Language Model Use Cases in Cyber Threat Intelligence
Enhancing Third-Party Risk Management Through AI
Written by: The Black Kite Research & Intelligence Team (BRITE) led by Müzeyyen Gökçen Tapkan, Director of Data Research
Today's challenge is that while Cyber Threat Intelligence (CTI) is crucial for identifying potential risks, traditional methods struggle to efficiently process the vast amounts of unstructured data relevant to third-party security before adversaries can exploit vulnerabilities.
This is where Large Language Models (LLMs) emerge as a game-changer. This report will demystify the application of LLMs in CTI, demonstrating how these powerful tools can be practically applied to strengthen your third-party risk management program.
We will show how LLMs can enable you to:
- Streamline OSINT Analysis
- Enhance Supply Chain Visibility
- Improve Risk Prioritization
- Facilitate Informed Decision-Making