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Introduction

Deep Instinct applies artificial intelligence (AI), in the form of deep-learning technology, to cybersecurity.

Highlights

  • It has two deployment modes: one, requiring no software agent on the device and for detection only (performed by integrating with a security gateway via an API); and the other, which is agent-based, for actual policy enforcement on the endpoints themselves.

Features and Benefits

  • Explains how deep learning differs from regular machine learning.
  • Discusses how it can be applied to security.

Key questions answered

  • What is machine learning and what is deep learning?
  • How mature is the use of deep learning in security?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put Deep Instinct on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

Have any questions? Speak to a Specialist

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