ML

If adopted correctly, AI and ML could advance incident response efforts by spotting errors and vulnerabilities, communicating issues and improving defensive postures ...

Discover why a platform approach, combined with global data and community, is the foundation of best-in-class Digital Trust & Safety.  The post How the global fraud-fighting community makes the internet safer for ...

Machine learning-based fraud decision engines are sometimes viewed as mysterious black boxes that only provide minimal insight into why a decision was made on a login or a transaction. It’s a valid ...

Artificial intelligence (AI) is increasingly being integrated into our daily lives. For instance, many of us might have an Alexa powered device in our homes, or we might use Siri on our ...

Cloud Security has always been a top priority for organizations that rely on cloud computing. However, traditional security approaches can be time-consuming, expensive, and prone to human error. This is where machine ...

At Praetorian, we firmly believe that the most effective way to secure your systems is to look at them through an offensive lens. After all, when you view yourself the same way ...

Growing interconnectedness makes it harder to detect ransomware before it causes harm. Whether data is processed locally or in the cloud, the risk of a breach is the same. But edge computing ...

Open Systems this week launched a managed extended detection and response (MXDR) service for Microsoft environments that leverages generative artificial intelligence (AI) to augment a team of external cybersecurity professionals running a ...

The need to secure digital identities remains one of the most urgent tasks facing modern enterprises. Stolen or compromised credentials continue to be not only the most common cause of a data ...

It’s never been more challenging to work in cybersecurity. The cost of a breach keeps going up, the number of attacks is constantly increasing and the industry is in the middle of ...