How Deep Instinct Achieves 100% Prevention with Zero False Positives

Deep Instinct's endpoint protection solution, known as D-Client, leverages deep learning technology to detect not only known threats, but those that have yet to hit computer systems in the real world. To test Deep Instinct's solution, SE Labs pitted the software against a range of high-profile, known malware campaigns and a selection of new, sophisticated and unknown targeted attacks.

D-Client was trained in August 2018, six months prior to the customized-targeted threats being created, and was exposed to: 

  • Malware from well-publicized, impactful breaches
  • Script-based (aka ‘file-less’) targeted attacks (e.g. JavaScript files)
  • Attacks using exploits targeted at Microsoft file format vulnerabilities
    (e.g. malicious Microsoft Word documents)
  • Targeted shellcode injection attacks

Each threat was successfully prevented pre-execution with no other processes running — resulting in an industry-first 100% prevention rate and zero false-positives.

Go further into D-Client's capability to detect and protect against the most insidious and advanced attacks in the full Threat Prevention Evaluation Report from SE Labs. Fill out the form to get your copy. 

Download the Threat Prevention Evaluation of Deep Instinct by SE Labs