While international privacy regulations are front and center in much of the press I’d like to turn your attention to a developing patchwork of US Federal and State privacy regulations in this post.
ou may be used to hearing that cyberattacks are becoming more widespread and destructive every year. Recent world events are underscoring the point. COVID-19 left a lasting mark on our working lives. Remote or hybrid work is now the norm, which means you’re much more likely to use the cloud for secure flexibility, tossing a wider net over remote devices at risk of a data breach.
We know that the cloud is ever growing in popularity, with new organizations undergoing their digital transformations each day. However, when it comes to security, particularly the security of our most sensitive data, are organizations keeping up with the pace of cloud adoption?
Ask any person who has interacted with a security operations center (SOC) and they will tell you that noisy detections (false positives) are one of the biggest challenges. There have been many companies that have tried to solve this problem but virtually all attempts have come up short. This article will attempt to promote a better solution using artificial intelligence (AI) & machine learning (ML) while remaining highly understandable and easily comprehensible.
