Deep Instinct has announced the release of a deep learning-powered solution.

Today's malware moves so fast. As per recent studies, there were 5.4 billion malware attacks in 2021. Deep Instinct has announced the release of a deep learning-powered solution. Deep Instinct takes a prevention-first approach to stop ransomware and other malware using the world's first and only purpose-built, deep learning cybersecurity framework. Deep Learning is the most advanced form of artificial intelligence. Basic machine learning (ML)-based tools either protect too much slowing down the business and flooding your team with false positives speed and scalability to predict and prevent unknown malware and zero-day threats before they have infiltrated your network. 

Deep learning-powered solution:

Deep Instinct Prevention for Applications uses artificial intelligence to scan files via API and identifies known, unknown and zero-day threats in less than 20 milliseconds. This new offering revolutionizes threat protection beyond the endpoint with flexible, portable, in-transit file scanning via API to quickly return a malicious virus at enterprise speed. Deep Instinct's new solution is competing against these traditional antivirus solutions and aims to provide an alternative option for securing enterprise environments against advanced unknown malware threats. As threat actors compromise points of entry beyond the endpoint, financial services institutions that exchange tens of millions of files each day are at increased risk.

Deep Instinct is addressing a major pain point of today's enterprise their exposure to an ever-expanding number of attack vectors.  The Deep Instinct Prevention Platform is an essential addition to every security stack providing complete, multilayered protection against threats across hybrid environments. There are specific advantages that deep learning brings which enable Deep Instinct to prevent threats faster in <20ms, ensuring we are faster than the malware. And Deep Instinct Prevention for Applications includes the file hash that ever leaves the environment retaining full customer data privacy and minimal infrastructure resources, including CPU, and memory usage combined with a small footprint ensuring a low total cost of ownership.