NEW YORK, January 6, 2021 – Deep Instinct, the first and only cybersecurity company to apply end-to-end deep learning to predict, identify, and prevent cyberattacks, announced findings from a newly published Total Economic Impact (TEI) study conducted by Forrester Consulting. The study shows that using the company’s advanced endpoint security solution can deliver a 446% return on investment (ROI).
The study is based on interviews with Deep Instinct customers, then the collected results are used by Forrester for constructing a financial model using its TEI methodology. A director of information technology in education who is a Deep Instinct customer participating in the study said, “Having Deep Instinct running on endpoints is like having a cybersecurity analyst doing the job 24/7.”
Deep Instinct reduces the likelihood of a cybersecurity breach and saves significant time managing endpoints by using a proactive method of threat prevention, where most threats are stopped before reaching the execution stage, according to the commissioned study.
Following are some findings:
“The Forrester financial model provides an excellent foundation for any organization to use as the basis for their own analysis when investigating their options for cybersecurity solutions,” said Guy Caspi, CEO, and co-founder of Deep Instinct. “We believe the independent study provides financial justification for investing in deep learning-based threat prevention to deal with the growing number of endpoint threats that are becoming increasingly sophisticated.”
“The use of the Deep Instinct solution helped interviewed customers in eliminating false positives, resulting in a 99% reduction in the number of alerts received,” reported Forrester Consulting. “The interviewed customers saw a two-fold increase in the number of potential endpoint attacks when all employees transitioned to remote working due to COVID-19, all of which Deep Instinct solution was able to successfully prevent.”
Prior to using Deep Instinct, the customers’ organizations were using a combination of endpoint detection and response (EDR) solutions and endpoint protection platforms (EPPs), including antivirus or anti-malware software. While these solutions were somewhat effective in detecting and responding to known and some zero-day endpoint threats, security operations (SecOps) employees were often inundated with time-consuming manual processes, that stretched from endpoint management to alert investigation and threat hunting.
The deep learning technology – a form of artificial intelligence – was proven to more effectively block threats while reducing the number of false positives. The result is having to spend significantly less time investigating, responding, and remediating threats. The impact is lowering the overall cost of operations and demonstrating an excellent return on investment.
Download The Total Economic Impact™ of Deep Instinct Advanced Endpoint Security Solution. Also, on January 26 there is a webinar scheduled with guest speaker, Forrester senior analyst, Chris Sherman, and Brian Black from Deep Instinct to discuss findings of the TEI study in detail.
About Deep Instinct
Deep Instinct is the first and only company applying end-to-end deep learning to cybersecurity. Deep learning is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct’s artificial deep neural network brain learns to prevent any type of cyber threat, its prediction capabilities become instinctive. As a result, any kind of malware, known and new, first-seen malware, zero-days, ransomware and APT (advanced persistent threat) attacks from any kind are predicted and prevented in zero-time with unmatched accuracy and speed anywhere in the enterprise – network, endpoint, mobile – enabling multi-layered protection. To learn more, visit https://www.deepinstinct.com/.