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Introduction

Seceon helps its enterprise clients identify and stop known and unknown (zero-day) threats as and when they happen.

Highlights

  • Seceon’s approach to cyber-threat detection is driven by its combined use of analytics, machine learning, and adaptive detection algorithms to identify and block cyber-attacks, improve detection rates, and prioritize remediation activity.

Features and Benefits

  • Understand that clients benefit from data collection and analysis techniques, machine learning, and behavioral analytics to identify and block cyber threats.
  • Understand that the goals are to prioritize threats that matter and need immediate attention, and find all compromised users, devices, and systems.

Key questions answered

  • In what way do clients benefit from data collection and analysis techniques, machine learning, and behavioral analytics to identify and block cyber threats?
  • How are behavioral analysis techniques used to highlight insider threats as well as threats from external users?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put the Seceon Open Threat Management platform on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

Recommended Articles

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Have any questions? Speak to a Specialist

Europe, Middle East & Africa team - +44 (0) 207 017 7700


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US team - +1 646 957 8878

+44 (0) 207 551 9047 - Operational from 09.00 - 17.00 UK time

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