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Cyber Resilience: Management With Cybersecurity Controls.

Jarrod Shingleton1, Elisabeth Paté-Cornell2

  • 1Department of Management Sciences and Engineering, Stanford University, Stanford, California, USA.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|July 3, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a probabilistic method to quantify cybersecurity resilience and risk reduction for organizations. It addresses the growing need for robust defenses against cyber attacks in an increasingly connected world.

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Area of Science:

  • Computer Science
  • Information Security
  • Risk Management

Background:

  • The increasing interconnectedness via the Internet of Things (IoT) expands the attack surface for cyber threats.
  • Organizations face challenges in cybersecurity due to a lack of expertise and funding, necessitating resilience strategies.
  • Protecting sensitive data and ensuring operational continuity are critical in the face of potential cyber disruptions.

Purpose of the Study:

  • To develop a probabilistic method for measuring organizational resilience to cyber attacks.
  • To provide a quantifiable approach for evaluating cybersecurity risk reduction controls.
  • To enhance understanding of system recovery capabilities after catastrophic loss.

Main Methods:

  • A probabilistic framework was designed to assess resilience levels.
  • The method allows for the quantification of risk reduction controls.
  • The approach focuses on an organization's ability to recover from cyber incidents.

Main Results:

  • The study presents a novel method for quantifying cybersecurity resilience.
  • The proposed approach offers a measurable way to evaluate risk mitigation strategies.
  • The framework aids in understanding and improving post-incident recovery.

Conclusions:

  • Quantifiable resilience metrics are essential for effective cybersecurity.
  • The probabilistic method provides a valuable tool for organizations to manage cyber risks.
  • Improving system resilience is crucial for maintaining operations and protecting data.