Project Abstract

The use of advanced AI systems like ChatGPT is growing, but there’s a risk they could be used for harmful purposes. A cybersecurity tool will be created to prevent the misuse of ChatGPT in organizations and universities. The tool stops users from accessing harmful content created by ChatGPT that could harm computer systems and data security. The goal of the tool is to understand antivirus software principles, identify cybersecurity threats, design a customized tool to mitigate threats and evaluate its effectiveness. It uses Python programming, MongoDB databases, and machine learning algorithms to enable real-time monitoring, threat detection, and alerts. The cybersecurity tool integrates with existing security infrastructure and defends against insider threats, malware, and evolving attack vectors facilitated by ChatGPT’s capabilities. It will undergo extensive testing, quality assurance, and continuous adaptation to ensure it remains a reliable safeguard as AI technologies advance. The report explains the project’s motivation, background research, implementation methodologies, and future for expanding to other AI platforms. Ultimately, this cybersecurity tool empowers organizations and academic institutions to harness the benefits of AI while mitigating associated risks, fostering a secure digital environment for stakeholders.

Keywords: Cybersecurity, Machine Learning, Antivirus

 Conference Details

Session: Presentation Stream 25 at Presentation Slot 1

Location: GH049 at Wednesday 8th 13:30 – 17:00

Markers: Megan Venn-Wycherley, Fernando Maestre Avila

Course: MSc Cyber Security, Masters PG

Future Plans: I’m looking for work