Endpoint Detection and Response (EDR) solutions serve as a cornerstone of modern cybersecurity, tackling the growing complexity and frequency of cyberattacks that target corporate networks. This paper compares two leading EDR platforms, CrowdStrike and SentinelOne, to evaluate their effectiveness in detecting common attack patterns such as phishing, malware, and ransomware. Furthermore, the study analyzes how each solution handles vulnerabilities including insecure authentication and outdated software. Both products employ advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML), which strengthen threat detection and response capabilities. The research seeks to deliver organizations actionable insights that guide the selection of an EDR solution matching their specific security requirements.

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Comparison of the Endpoint Detection and Response (EDR) Solutions From CrowdStrike and SentinelOne

  • Christoph Eigner,
  • Günter Fahrnberger

摘要

Endpoint Detection and Response (EDR) solutions serve as a cornerstone of modern cybersecurity, tackling the growing complexity and frequency of cyberattacks that target corporate networks. This paper compares two leading EDR platforms, CrowdStrike and SentinelOne, to evaluate their effectiveness in detecting common attack patterns such as phishing, malware, and ransomware. Furthermore, the study analyzes how each solution handles vulnerabilities including insecure authentication and outdated software. Both products employ advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML), which strengthen threat detection and response capabilities. The research seeks to deliver organizations actionable insights that guide the selection of an EDR solution matching their specific security requirements.