A Large Language Model in Digital Forensics: Introducing BelkaGPT

Large language models (LLMs) are one of today’s most buzzing artificial intelligence (AI) technologies, and they are making waves in many industries. Trained on diverse text sources, from scientific works and programming code to blog posts and forum discussions, they effectively grasp and reproduce the various ways we communicate information. Even though their capabilities are still far from embracing all the tasks human intelligence can handle, they have a significant advantage—they can do them much faster. 

In digital forensics and cyber incident response, where most data is stored in text format, LLMs have great potential for enhancing and accelerating evidence discovery. With this idea in mind, Belkasoft engineers created BelkaGPT, the first offline AI assistant built into a digital forensics tool.

In this article, we will cover all you need to know about BelkaGPT and show examples of its usage. 

What is BelkaGPT?

BelkaGPT is a generative-AI-driven assistant designed to help conduct digital forensic investigations. It is built on a large language model that processes case data extracted by Belkasoft X and helps uncover evidence through natural language queries. In simple terms, it answers questions based on the information in the case. 

Unlike many other AI tools in digital forensics, which rely on external servers for data processing, BelkaGPT offers a more secure approach. As part of Belkasoft X, BelkaGPT can work in an offline environment. It processes all data locally, aligning with the stringent security and privacy policies commonly found in DFIR labs.