Top Ten Cybersecurity Companies - Deep Instinct
Deep Instinct is a cybersecurity company that applies deep learning to cybersecurity. The company implements advanced Artificial Intelligence to the task of preventing and detecting malware. Deep Instinct was founded in 2014 by Guy Caspi, Dr. Eli David, and Nadav Maman. The headquarters of the company is located in New York City.
Using deep learning, Deep Instinct offers a predictive threat prevention platform. The multi-layer protection is provisioned across pre, on, and post-execution stages. It is based on a prevention first approach, followed by detection & response, automatic analysis and remediation.
Unlike detection and response based cybersecurity solutions, which wait for the execution of the attack to react, our advanced preventative approach proactively keeps our customers protected by preventing the attack from entering and causing any damage.
By using deep learning, the company is able to predict and prevent any kind of threat – known and unknown – anywhere in zero-time. Every endpoint, server, mobile device, network and operating system is protected against any type of attack, be it fileless or file-based. This advanced approach to threat prevention ensures that attacks are identified and blocked before any damage can be caused.
What is deep learning?
Deep learning is the most advanced subset of artificial intelligence. Also known as “deep neural networks,” it takes inspiration from how the human brain works.
Namely, the more data that is fed into the machine the better it is at intuitively understanding the meaning of new data. It, therefore, does not require a (human) expert to help it understand the significance of new features.
Deep Instinct is changing the way we look at cybersecurity by harnessing the power of Deep Learning Neural Networks to prevent threats in zero time. The platform’s unique deep learning multi-layer security architecture is designed for any security need, against any known or unknown threat. It can be applied anywhere in the enterprise, be it network perimeter, endpoints, mobile, servers and VDIs. Effectively protecting the entire enterprise from any type of threat, no matter how advanced they may be.
A deep learning neural network is located at the Deep Instinct™ lab. It is the core component of the deep learning cyber security architecture developed by Deep Instinct™. It continuously learns, reflecting the ever-evolving cyber threat arena. The output of its continuous deep learning process is a lightweight prediction model (D-Brain). The D-Brain is then distributed to all managed D-Clients.
GfK and VMware: Innovating together on hybrid cloud
GfK has been the global leader in data and analytics for more than 85 years, supplying its clients with optimised decision inputs.
In its capacity as a strategic and technical partner, VMware has been walking GfK along its digital transformation path for over a decade.
“We are a demanding and singularly dynamic customer, which is why a close partnership with VMware is integral to the success of everyone involved,” said Joerg Hesselink, Global Head of Infrastructure, GfK IT Services.
Four years ago, the Nuremberg-based researcher expanded its on-premises infrastructure by introducing VMware vRealize Automation. In doing so, it laid a solid foundation, resulting in a self-service hybrid-cloud environment.
By expanding on the basis of VMware Cloud on AWS and VMware Cloud Foundation with vRealize Cloud Management, GfK has given itself a secure infrastructure and reliable operations by efficiently operating processes, policies, people and tools in both private and public cloud environments.
One important step for GfK involved migrating from multiple cloud providers to just a single one. The team chose VMware.
“VMware is the market leader for on-premises virtualisation and hybrid-cloud solutions, so it was only logical to tackle the next project for the future together,” says Hesselink.
Migration to the VMware-based environment was integrated into existing hardware simply and smoothly in April 2020. Going forward, GfK’s new hybrid cloud model will establish a harmonised core system complete with VMware Cloud on AWS, VMware Cloud Foundation with vRealize Cloud Management and a volume rising from an initial 500 VMs to a total of 4,000 VMs.
“We are modernising, protecting and scaling our applications with the world’s leading hybrid cloud solution: VMware Cloud on AWS, following VMware on Google Cloud Platform,” adds Hesselink.
The hybrid cloud-based infrastructure also empowers GfK to respond to new and future projects with astonishing agility: Resources can now be shifted quickly and easily from the private to the public cloud – without modifying the nature of interaction with the environment.
The gfknewron project is a good example – the company’s latest AI-powered product is based exclusively on public cloud technology. The consistency guaranteed by VMware Cloud on AWS eases the burden on both regular staff and the IT team. Better still, since the teams are already familiar with the VMware environment, the learning curve for upskilling is short.
One very important factor for the GfK was that VMware Cloud on AWS constituted an investment in future-proof technology that will stay relevant.
“The new cloud-based infrastructure comprising VMware Cloud on AWS and VMware Cloud Foundation forges a successful link between on-premises and cloud-based solutions,” says Hesselink. “That in turn enables GfK to efficiently develop its own modern applications and solutions.
“In market research, everything is data-driven. So, we need the best technological basis to efficiently process large volumes of data and consistently distill them into logical insights that genuinely benefit the client.
“We transform data and information into actionable knowledge that serves as a sustainable driver of business growth. VMware Cloud on AWS is an investment in a platform that helps us be well prepared for whatever the future may hold.”