How to use deep learning AI to detect and prevent malware and APTs in real-time

This column is available in a weekly newsletter called IT Best Practices.  Click here to subscribe.   The number of new malware variations that pop up each day runs somewhere between 390,000 (according to AV-TEST Institute) and one million (according to Symantec Corporation). These are new strains of malware that have not been seen in the wild before. Even if we consider just the low end figure, the situation is still dire. Especially when it comes to advanced persistent threats (APTs), which are the most sophisticated mutations of viruses and malware, which are very effective at going completely undetected by many of the cybersecurity technologies in use today. Even security experts tell organizations to be prepared for “when” and not “if” an attack is successful. Over the years we have…


Link to Full Article: How to use deep learning AI to detect and prevent malware and APTs in real-time