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Home » From Incident Response to Predictive Analytics, Process Mining Enhances Cybersecurity
Cybersecurity Minute

From Incident Response to Predictive Analytics, Process Mining Enhances Cybersecurity

Chris HughesBy Chris HughesJuly 6, 2023Updated:July 6, 20232 Mins Read
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Acceleration Economy Cybersecurity

In episode 107 of the Cybersecurity Minute, Chris Hughes tackles process mining and its implications for cybersecurity.

This episode is sponsored by “Selling to the New Executive Buying Committee,” an Acceleration Economy Course designed to help vendors, partners, and buyers understand the shifting sands of how mid-market and enterprise CXOs are making purchase decisions to modernize technology.

00:36 — There’s a lot of interest in process mining and leveraging it for various business use cases, including cybersecurity. If you’re not familiar with process mining, it’s essentially the analysis of event logs and data from various systems and applications to understand and improve business processes.

Which companies are the most important vendors in cybersecurity? Check out
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01:00 — Process mining can be valuable in the cybersecurity context. First, you could apply process mining to anomaly detection. You could analyze an event, log, and system data to identify unusual patterns or behaviors that deviate from normal operations.

01:38 — Another valuable use case for process mining is incident response. If you have a variety of logs and streams coming from endpoints, agents, security operations centers (SOCs), and security information and event management (SIEM), you can take these logs and analyze them to actually determine how to best respond to a situation or an incident. Another great use case for process mining is compliance monitoring.

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02:46 — Next up is predictive analytics. For example, if you’re looking at these historical log events and data via process mining, you can start to look for potential security incidents and vulnerabilities that may not have occurred yet or look for patterns and trends that may be potential risks to the organization and take some proactive measures.

03:16 — Last is the insider threat. If we can identify insider threats by analyzing patterns of behavior from users and more, we can start to detect some of this unusual or suspicious activity, like an insider posing a security risk.

Watch on Demand: how top process mining vendors stack up

analytics Compliance Cybersecurity data featured predictive analysis process-mining-archive vulnerability
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Analystuser

Chris Hughes

CEO and Co-Founder
Aquia

Areas of Expertise
  • Cloud
  • Cybersecurity
  • LinkedIn

Chris Hughes is a Cloud Wars Analyst focusing on the critical intersection of cloud technology and cybersecurity. As co-founder and CEO of Aquia, Chris draws on nearly 20 years of IT and cybersecurity experience across both public and private sectors, including service with the U.S. Air Force and leadership roles within FedRAMP. In addition to his work in the field, Chris is an adjunct professor in cybersecurity and actively contributes to industry groups like the Cloud Security Alliance. His expertise and certifications in cloud security for AWS and Azure help organizations navigate secure cloud migrations and transformations.

  Contact Chris Hughes ...

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