IUTT University celebrates the graduation project defenses of its inaugural Cybersecurity batch, reinforcing its leadership in modern digital disciplines.
IUTT’s DermAI project represents a breakthrough in medical AI, utilizing nine specialized agents and LLMs for professional dermatological diagnosis and healthcare management.
IUTT presents “SafeMailer”, an intelligent email security gateway designed to protect communication infrastructures from phishing and malicious threats using AI.
ForensLink project at IUTT introduces an intelligent system using ELECTRA techniques to detect malicious links and protect users from electronic fraud.
IUTT students present “CyberTrap”, an innovative cyber deception project using Honeytokens to detect advanced threats and ensure immediate security response.
IUTT students develop “Rasid Logs Forensic”, a high-speed digital forensic platform for Windows log analysis and threat detection using Rust and Sigma rules.
IUTT students develop a cutting-edge Machine Learning-based Intrusion Prevention System (IPS) capable of processing 1.2M packets per second with 97% accuracy.
IUTT Faculty of Computer Science hosts a workshop to update the AI and Data Science program curricula, aligning academic outcomes with contemporary labor market needs.
Summary of: Automation and AI agents training course at IUTT…