Deep Instinct Revenue and Competitors
Estimated Revenue & Valuation
- Deep Instinct's estimated annual revenue is currently $90.4M per year.
- Deep Instinct's estimated revenue per employee is $259,080
- Deep Instinct's total funding is $259.1M.
- Deep Instinct has 349 Employees.
- Deep Instinct grew their employee count by 84% last year.
Deep Instinct Competitors & Alternatives
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What Is Deep Instinct?
Deep Instinct is the first company to apply 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 brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day and APT attacks are detected and prevented in real-time with unmatched accuracy. Deep Instinct brings a completely new approach to cybersecurity 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.keywords:Cyber Security
Number of Employees
Employee Growth %
Deep Instinct News
The Mail on Sunday ran a story in which Conservative MPs in Westminster accused the Labour politician as using a Basic Instinct ploy...
Deep Instinct takes a prevention-first approach to stopping ransomware and other malware using the world's first and only purpose-built, deep...
The Deep Instinct Prevention Platform prevents known, unknown, and zero-day threats prior to execution. In contrast, detection and response...
Only 45 percent of respondents to a recent survey believe it is currently possible to prevent all malware threats from infiltrating their organization's network. The survey from Deep Instinct does show some longer term optimism though. 66 percent of respondents believe it may be possible to pre ...
Traditional cybersecurity isn't necessarily bad at detecting attacks, the trouble is it often does so after they have occurred. A better approach is to spot potential attacks and block them before they can do any damage. One possible way of doing this is via 'deep learning' allowing technology ...
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