Deep Instinct Offers an Artificial Brain for Cybersecurity
The company just raised $100 million.
Israeli cybersecurity startup Deep Instinct offers anew kind of self learning artificial intelligence based cybersecurity solution. The company raised $100 million in Series D funding. The Deep Instinct platform can predict, prevent, and analyze cyberattacks at any touchpoint of the organization from the endpoint through to the network. This round was led by funds and accounts managed from BlackRock, with participation from Untitled Investments, and brings the company’s total investment to date to $200 million.
There is a reason why cybersecurity startups are so valuable today. Hackers are not only motivated by money or politics. They often just like being malicious. So even small companies need to be on their guard and be sure to properly protect their systems.
And everything is going into the cloud these days. Do you use Google Docs, or any of the other Google services? Well then all of your files are stored in servers located around the world. The same thing is also now true with MS Office which offers customers cloud based software services. Notebook computers have always had a limited storage capacity. And more and more people are switching to tablets which do not offer the same services as a computer. So cloud services will soon be standard.
Announcing our $100 million Series D round of funding. Here’s what our CEO @GuyCaspi has to say about our hyper-growth trajectory.
— Deep Instinct (@DeepInstinctSec) April 22, 2021
Founded in 2015, Deep Instinct calls itself the first company to apply deep learning to cybersecurity. So what exactly is deep learning? Deep Instinct explains that its 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, says the company,as Deep Instinct’s artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. So this is actually a kind of AI which can learn and teach itself. Think about those chess playing computers which actually learn from their mistakes, rather than simply make moves based on a vast data base of previously played games.
So Deep Instinct explains that as a result of this tech, zero-day and APT attacks can be detected and prevented in real-time with “unmatched accuracy.” Deep Instinct says that this is a completely new approach to cybersecurity and that is proactive and predictive.
“Deep Instinct provides comprehensive defense that is designed to protect against the most evasive unknown malware in real-time, across an organization’s endpoints, servers, and mobile devices. Deep learning’s capabilities of identifying malware from any data source results in comprehensive protection on any device, any platform, and operating system.”
“As we enter a new phase of hyper-growth, this investment round will significantly expand our go-to-market capabilities while at the same time increase our best-in-class deep learning research and product development groups,” said Guy Caspi, CEO of Deep Instinct. “These groups will focus on further developing the company’s unique deep learning platform beyond endpoint into cloud, network, and storage to meet the accelerating needs of our customers in the face of more sophisticated threats and breaches.”
Deep Instinct currently protects customers across North America, Europe, and APAC, with enterprise customers tripling in the last year, including strategic wins with multiple Global 2000 companies in Q1 2021.
“After 20 years of bringing early-stage companies to public market entry and having been involved with Deep Instinct since inception, I can say with certainty that the benefits of our deep learning technology will change how the industry looks at cybersecurity. I see our platform emerging as an essential security component in the next few years,” said Lane Bess, Deep Instinct Chairman. “With the support of our investors, Deep Instinct will continue to grow as the only company to develop deep learning cyber prediction and prevention capabilities – and essentially vaccinate enterprises from cyber vulnerabilities.”