Machine learning-powered security systems should be used as a tool, not as a replacement for security teams for web apps.

The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...

As third-party ecosystems grow more complex, compliance teams face mounting pressure to assess and monitor external ...

Kruyer's lab focuses on relapse to heroin use ... contexts, machine learning is particularly powerful for identifying image-based cellular features that are difficult to capture using traditional ...

A new malware-as-a-service (MaaS) platform named 'SuperCard X' has emerged, targeting Android devices via NFC relay attacks that enable point-of-sale and ATM transactions using compromised payment ...

The $13 trillion global construction industry has long struggled with inefficiencies, delays, and corruption. Traditionally, these have been hard to avoid. The industry is highly fragmented and ...

Trend Micro Antivirus+ Security is a very capable package that's easy to use with ... Lately, malware removal programs are also employing artificial intelligence and machine learning to fish ...

Machine learning ... The use of multiple node distributed processing systems makes it possible to detect fraud at scale simply and effectively. Detection accuracies of 94% and confirmed uptime of ...