Deep Instinct
- Tower Levinstein Derech Menachem Tel Aviv, Israel 6618356 Israel,
- 2014
- 200
- Website
About
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.
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Something About AI Still Doesn’t Feel Right
Something About AI Still Doesn’t Feel Right
This report brings the current AI conversation together and makes sense of the signals people are seeing in isolation.
- Why AI can look like it’s slowing down and accelerating at the same time
- How work is changing at the task level, rather than through sudden job replacement
- Why productivity gains often come with increased pressure and workload
- What changes when AI moves inside tools instead of sitting alongside them
- Why readiness, not capability, is now the biggest constraint for organisations
- How agentic AI shifts the conversation from output to action
This report brings the current AI conversation together and makes sense of the signals people are seeing in isolation.
- Why AI can look like it’s slowing down and accelerating at the same time
- How work is changing at the task level, rather than through sudden job replacement
- Why productivity gains often come with increased pressure and workload
- What changes when AI moves inside tools instead of sitting alongside them
- Why readiness, not capability, is now the biggest constraint for organisations
- How agentic AI shifts the conversation from output to action