From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This evolution unites physical and cyber domains, improves situational awareness, and ...

In today's rapidly evolving digital landscape, the convergence of artificial intelligence (AI), machine learning, and cloud-based solutions is reshaping the foundation of security practices. These ...

How Can Non-Human Identities Enhance Cybersecurity? Are your security strategies keeping up with the increasing complexity of digital? With cybersecurity challenges evolve, so do the measures to ...

Have You Fully Addressed the Security of Your Non-Human Identities? When considering the complexities of cybersecurity, one might focus on human-related threats. Yet, in cybersecurity, Non-Human ...

A new report out today from software supply chain company JFrog Ltd. reveals a surge in security vulnerabilities in machine learning platforms, highlighting the relative immaturity of the field ...

Sivan Tehila, CEO & Founder of Onyxia Cyber and Cybersecurity Masters Program Director at the YU Katz School of Science and Health. For years, cybersecurity has been reactive in practice—with ...

Artificial intelligence and machine learning projects require a lot of complex data, which presents a unique cybersecurity risk. Security experts are not always included in the algorithm development ...

In the medical field, alarm fatigue can be a serious issue that directly impacts patient care. When roughly three-quarters of clinical alarms are false, it’s easy to see how this constant overload can ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jim Gough discusses the transition from ...