How Deep Instinct applies deep learning to cybersecurity

Cyber magazine takes a look at Deep Instinct which takes a prevention-first approach to stop ransomware and other malware using deep learning cybersecurity

Founded in 2015, Deep Instinct is the first company to apply deep learning to cybersecurity. 

It provides a comprehensive defence that is designed to protect against the most evasive unknown malware in real-time, across an organisation’s endpoints, servers, and mobile devices, whether or not connected to the network or to the Internet.

According to Deep Instinct, by applying deep learning technology to cybersecurity, enterprises can now gain unmatched protection against unknown and evasive cyber-attacks from any source. Deep learning’s capabilities of identifying malware from any data source results in comprehensive protection on any device, any platform, and operating system.

Utilising threat prevention

Deep Instinct's cybersecurity platform utilises end-to-end deep learning to specialise in threat prevention. According to the company, it stops unknown, never-before-seen threats in less than 20 milliseconds and reduces false positives by 99% – the lowest rate in the industry. 

The Forrester Consulting's Total Economic Impact™ (TEI) study on Deep Instinct's Advanced Endpoint Security Solution, found that an organisation could experience benefits of US$3.5mn over three years versus costs of US$0.6mn, adding up to a net present value (NPV) of US$2.9mn and an ROI of 446%.

Expanding security challenges that organisations face 

Earlier this year Deep Instinct unveiled findings from its bi-annual Threat Landscape Report. One of the most pronounced takeaways from this research on 2021 threat trends is that bad actors are becoming more successful at evading AI/ML technologies, prompting organisations to redouble efforts in the innovation race.

Specific attack vectors have grown substantially, including a 170% rise in the use of Office droppers along with a 125% uptick in all threat types combined. The volume of all malware types is substantially higher versus pre-pandemic. I

“Recent major events, such as Log4j and Microsoft Exchange server attacks, have placed a heightened priority on security, but these threats have long deserved the attention they’re just now getting on a global level,” said Guy Caspi, CEO of Deep Instinct. “The results of this research shed light on the wide-ranging security challenges that organisations face on a daily basis. Deep Instinct was founded to bring a new approach based on deep learning to cybersecurity. We’re on a mission to provide relief to cyber defenders facing advanced threats that continue to spike in volume and sophistication.”



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