Welcome to the official repository of MoRSE, a groundbreaking framework in the cybersecurity domain that synergizes the generative capabilities of Large Language Models (LLMs) with the precision of specialized information retrievers. MoRSE stands at the vanguard of cybersecurity solutions, offering meticulously structured responses to a wide spectrum of cybersecurity queries.
Knowlegde Bases and Data can be accessed at this link: https://drive.google.com/drive/folders/1gNRlb18Q9iw0cllYGxbdp2V8wZLkR3H2
Watch MoRSE in Action on YouTube : https://youtu.be/nsI1HCUVDSc
Dive into a comprehensive demonstration of MoRSE on YouTube to see our cutting-edge framework in operation, ensuring the fortification of digital infrastructures against evolving cyber threats.
This video will provide you with a detailed overview of MoRSE's capabilities.
Despite the usefulness of Large Language Models (LLMs) in various fields, they cannot provide reliable results in technical and constantly evolving topics such as cybersecurity, as they can produce inaccurate or hallucinatory content. This emphasises the need to constantly update their knowledge bases with the latest information. The integration of Retrieval Augmented Generation (RAG) is emerging as a solution. It is predicted that by 2025, two-thirds of organisations will use this technology to find domain-specific knowledge, which will improve decision-making efficiency by 50%.
In this repo, we introduce the first specialised AI chatbot for cybersecurity MoRSE (Mixture of RAGs Security Experts), which aims to provide comprehensive and complete knowledge about cybersecurity. MoRSE uses two Retrieval Augmented Generation (RAG) systems designed to provide clear, structured, and accurate answers to cybersecurity queries. Unlike traditional Large Language Models (LLMs) that rely on Parametric Knowledge Bases, MoRSE retrieves relevant documents from Non-Parametric Knowledge Bases in response to user queries. It then uses this information to generate accurate answers, improving cybersecurity accuracy and reliability. In addition, MoRSE benefits from real-time updates to its knowledge bases, enabling continuous knowledge enrichment without retraining.
The experimental evaluation has shown that the improvement in terms of relevance and correctness of the answer is more than 10% compared to known solutions such as GPT-4 and Mixtral 7x8.
To give you a better understanding of how MoRSE operates and its key functionalities, here are some visual insights:
This image demonstrates how MoRSE analyzes and identifies potential security exploits in real-time.
Here you can see the responsive actions MoRSE takes upon detecting a threat, showcasing the system's proactive defense capabilities.
This image provides a glimpse into the detailed analysis MoRSE performs on malware code, illustrating the depth of its machine learning techniques.
Join us in advancing the state of cybersecurity and safeguarding our digital future. For more information about MoRSE and how to integrate it into your security setup, please refer to the documentation and resources provided in this repository.