AI-Driven Threat Detection and Response System for SMEs

In the rapidly evolving cybersecurity landscape, SMEs are increasingly targeted by sophisticated cyber attacks yet often lack the resources to implement comprehensive security measures. Our project seeks to address this gap by developing an AI-driven threat detection and response system tailored specifically for SMEs. Utilizing technologies such as OpenAI's API, TensorFlow, and Langchain, the solution will incorporate predictive analytics and large language models (LLMs) to identify potential threats and anomalies in network traffic. This system will automatically prioritize threats, suggest actionable countermeasures, and enable SMEs to respond quickly and effectively. The proposed system will also include a computer vision module using YOLO for detecting visual data anomalies in real-time. By integrating with existing SME infrastructure, the solution will provide a seamless security upgrade without the need for significant overhead or operational disruption. The flexible use of AutoML and Edge AI capabilities ensures that the system remains adaptive to new threats and scalable as the SME grows. The development process will involve close collaboration with cybersecurity experts and SME stakeholders to ensure the solution addresses real-world challenges and integrates smoothly into current workflows. Our aim is to empower SMEs with an intelligent, adaptable security tool that provides peace of mind in an increasingly digital world.