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 ...

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 ...

Blockchain security startup Mamori today announced it has secured $5 million in seed funding for its platform that uses machine learning to detect and remediate exploits. The round was led by ...

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 ...

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 ...