CyberMATI
AI-powered solution for detecting phishing and malicious websites.
Year
8
Project
CyberMATI
University
Sheffield Hallam University
URL
Market Need
Large enterprises like financial institutions face significant cybersecurity risks, necessitating robust protection measures to safeguard sensitive information and ensure regulatory compliance. Phishing remains the leading cybercrime, despite billions spent annually on cybersecurity services, phishing training, and simulated red-team exercises. Sophisticated social engineering threats place relentless pressure on employees to remain vigilant. Unfortunately, current URL and contentbased filtering techniques frequently fall short, particularly against new exploits and threats.
Solution
CyberMATI’s AI-powered technology keeps users one step ahead of cyber threats by analysing visual elements, content inconsistencies, and website patterns to identify and block threats before they can cause harm.
The multi-modal AI system mirrors the decision-making process of security experts to assess whether a website is genuine or a phishing attempt. The system uses cutting-edge AI to identify vulnerability patterns among users and groups, and dynamically learns to recognise emerging threats and zeroday attacks, enabling tailored security measures and targeted training that keep threats at bay.
Target Market
- Enterprises and cybersecurity providers
Status
- Proof of concept deployed on vendor-neutral cloud services
- Testing completed
- International patent application published
Needs
- Investment to expand testing and integrate the solution into cybersecurity ecosystems
- Expertise to create go-to-market strategies