Introduction A well-known organisation called SolarWinds was attacked in September 2019. In this attack, a hacker used a supply chain attack to inject malicious code into the system. More than 18,000 ...

Extended detection and ... a centralized security system. An XDR pulls raw telemetry data from across multiple tools like cloud applications, email security, and identity and access management. Using ...

Infrared optoelectronic functional materials are essential for applications in lasers, photodetectors, and infrared imaging, ...

Since April 2024, the threat actor that Microsoft Threat Intelligence tracks as Marbled Dust has been observed exploiting ...

A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

Can foundation models, combined with AI technology, improve SIEM systems while enhancing security efficiency between these ...

From AI-generated deepfake voices that mimic loved ones to large-scale fraud operations that use machine learning to evade detection ... advanced systems to detect, trace, and block malicious ...

Organizations relying on standard security tools may miss sophisticated APT techniques unless they implement specialized ...

A new technical paper titled “Key Safety Design Overview in AI-driven Autonomous Vehicles” was published by researchers at ...

"There are tens of thousands of PAH-derived chemicals and this approach -- calculating their spectra and using machine learning to connect ... devices into a mobile system, making it easier ...

Cisco’s Foundation-sec-8B LLM & Meta’s AI Defenders redefine cybersecurity with open-source AI for scalable SOCs.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with ...