(DMR) Applying Clustering and Similarity to Cybersecurity

Students on this project will collaborate with CrowdStrike, a global leader in cybersecurity, to explore how artificial intelligence and machine learning can be applied to detect, prevent, and respond to sophisticated cyber threats. This project will give students the opportunity to work with real-world cybersecurity frameworks and techniques, focusing on the development of models and processes that strengthen digital defense capabilities. By analyzing simulated attacks and threat scenarios, students will gain critical skills in anomaly detection, behavioral analytics, and predictive modeling. This project is ideal for students interested in AI, machine learning, and the evolving field of cybersecurity—providing hands-on experience at the cutting edge of digital protection.