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 ...

Zero knowledge proofs enhance transparency while maintaining confidentiality in decision-making processes. Lagrange is ...

“My work protects millions of users, translating theoretical research into practical security implementations at scale.” ...

Could the Innovation in Non-Human Identities Be the Key to Enhanced Secrets Security? Where progressively leaning towards automation and digital transformation, how can we ensure that the creation and ...

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 ...

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 ...

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 ...