Overview

This repo contains the code for the presentation of our talk on how to use LLMs for CTI purposes.

Use-cases for LLMs in CTI

In general, there are a couple of use-cases for LLMs in CTI. The most important use cases are:

1. UC 1: Summarization of free text CTI
2. UC 2: NER (Name Entity Recognition)
3. UC 3: Q&A (Answering questions on CTI texts via RAG)
4. UC 4: TTP Tagging (extract the TTPs from the text)
5. UC 5: Graph relationship extraction: extract the graph of who did what with with tools against whom etc... (the "w" questions).

Please note that UC 5 can help the other use-cases. If you have the graph of the relationships in a texth, then answering questions (UC 3) becomes easier.

Each use-case has its own subdirectory, please go to the individual subdirs and check their README files.

Dataset attribution

The STIX reports are pulled from the following sources:

• Palo Alto UNIT42 github
• CISA advisories website