As machine learning in cybersecurity continues to grow, we expect to see more effective and sophisticated defenses against the ever-evolving cyber threat landscape.

Organizations must prioritize foundational cybersecurity skills alongside AI integration to prevent gaps that leave them vulnerable to sophisticated threats.

A new study from ISG finds global enterprises see AI and ML technologies as the biggest cyber threats, and are investing in detection and prevention.

The key to enhancing cybersecurity lies in leveraging AI and machine learning as force multipliers As cyber threats grow more advanced and government agencies navigate workforce shortages ...

The Graduate Certificate in Cyber Security Analytics (CSAN) is intended for students who are interested in training in the core areas of cyber security, machine learning, and data analytics.

Machine learning has revolutionized the field of cybersecurity by enabling a new generation of automated tools and techniques that can help detect and prevent cyber threats.

Businesses in Australia and New Zealand are rushing to introduce formal cyber security awareness programs amongst staff, new figures find, even as those who already have them warn that they are ...

Future Predictions AI and machine learning are bound to evolve, and their impact on cybersecurity will only grow.

The following research opportunities are available for prospective Ph.D. students. To apply for one of these positions please visit the Ph.D. in Computing and Information Sciences program page or, for ...

How Machine Learning Boosts Healthcare Cybersecurity We regularly apply ML algorithms in our software development projects and, specifically, in healthcare projects.

Palo Alto Networks uses 3rd Gen Intel® Xeon® Scalable processors and Intel software in the cloud for its Cloud-Delivered Security Services to boost machine learning and inferencing performance.