How Deep Instinct uses deep-learning to advance malware prevention

How Deep Instinct uses deep learning to advance malware prevention

Deep Instinct uses deep learning

Today’s malicious software moves so fast that if you blink, you may miss it. The reality is that traditional security solutions such as anti -virus preventing malicious software infect the network of corporate networks invalidated.

In order to combat malicious software threats, the network security provider Deep Instinct announced that it has released a deep learning -driven solution: deep instinct to prevent applications for applications, which is a new on -demand anti -limit software solution.

In -depth prevention of the application of the application of artificial intelligence (AI) scan files through the API, and determines that it is known, unknown and zero -day threats in less than 20 milliseconds. This is a method aimed at protecting Web applications and cloud storage from malicious attackers, which can be extended to scan tens of millions of files per day.

For enterprises, Deep Instance solutions emphasize that deep learning can provide answers to responding to the answer to malware threats. These malware threatening to move with machine speed and avoid the defense capabilities of traditional anti -virus solutions.

The problem with antivirus solutions

In terms of security solutions, for many years, anti -virus tools have been endpoint security staple foods. Today, many companies rely on anti -virus and antigen software solutions to prevent common known threats.

The problem of these solutions is that they are usually very slow, comparing activities with threat intelligence to determine whether the software is malicious. At the same time, they often miss the malicious content stored in PDF and Office files.

Traditional AV and endpoint solutions usually miss office files with unknown malware, and the possibility of an end user is very likely to open the attack.

It can automatically scan the extensive file type, including Office files, PDF and .exe files, and detect malware at the speed of the machine.

A look at the antivirus market

The new solution of Deep Instinct is to compete with this traditional anti -virus solutions, and it aims to provide another option to ensure that the corporate environment is exempted from high -level unknown malware threats.

McAfee is one of the main anti -virus providers to compete with Deep Instinct. It can protect Windows, Mac OS, Android and iOS devices from malware, network fishing, viruses and ransom, and use malware detection, isolation and dismantling, and dismantle Scanned files and applications.

Another key competitor is Norton, which recently announced a raised $ 702 million in the third quarter of fiscal year in fiscal 2022, and used artificial intelligence and machine learning to identify malware, spy software, viruses and ransom.

In terms of differentiation, Crowley believes that the solution is to use deep learning to separate it from competitors.

Deep Instinct is based on deep learning solutions based on the industry’s only deep learning framework, which aims to fill the gap of today’s network security. Deep learning brings specific advantages, which can prevent deep instincts from threatening to ensure faster we can.


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