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Introduction

The Niara security analytics platform combines an automated big data security and entity-centric analytics approach with behavioral and forensic techniques to detect attacks and reduce investigation and response times.

Highlights

  • Niara’s automated detection tools focus on identifying multi-stage network attacks, detecting the use of compromised user credentials, finding breaches that have bypassed existing network defenses, and reducing the alerting and investigation timelines.

Features and Benefits

  • Discusses how security analysts benefit from security and machine intelligence.
  • Discusses how Niara uses machine learning to help customers gain value from knowing more about threats relevant to their business.

Key questions answered

  • What are the core components of Niara's security offering?
  • How does Niara differentiate itself in the market?
  • Why should enterprises put Niara on their radar?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put Niara's security analytics platform on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

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