Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...

Machine learning is helping cyber teams process telemetry at scale to more quickly identify behavioral anomalies that might ...

Researchers in Morocco analyzed cybersecurity challenges in smart grids, highlighting AI-driven detection and defense strategies against threats like distributed denial-of-service, false data ...

As cybercriminals leverage generative AI to craft hyper-realistic phishing campaigns and deepfake-enhanced attacks, the ...

Dhruv Patel's work demonstrates how advanced expertise in distributed systems, AI, and cybersecurity can influence digital ...

These are the fundamental detection model shifts cybersecurity teams need to make to keep up with the rising number of ...

Global RBM requires interoperable architectures across EDC, IRT, eCOA, labs, imaging, EHR, and safety systems, but inconsistent CDISC/HL7 FHIR adoption and proprietary APIs impede near–real-time ...

How to ward off attacks on critical infrastructure, mistakes that people often make when it comes to critical infrastructure.

Viability, survivability, and ultimately commercial success are dependent on securing the devices and network for any ...

THE largest supermarket chain Shwapno, which has more than four million registered consumers, has said that its customer ...

Spread the loveAs technology advances, so does the landscape of cybersecurity. A recent report by N-able and Futurum highlights how artificial intelligence (AI) is fundamentally transforming the way ...

Business Email Compromise (BEC) scams rank among the most financially devastating cybercrimes facing organizations today. As ...