Architecting Petabyte-Scale Stream Processing Systems for Cybersecurity: A Sharded Data and Compute Processing Strategy for Minimizing Incident Response Time in Real-Time Enterprise Defense

Authors

  • Abhishek Suman

Keywords:

Stream Processing, Cybersecurity Analytics, Distributed Computing, Real-Time Threat Detection, Petabyte-Scale Architecture

Abstract

The contemporary cybersecurity landscape demands real-time threat detection capabilities that exceedthe performance limitations of traditional batch-processing Security Information and EventManagement systems. Organizations face exponentially growing security event volumes while sophisticated threat actors operate with increasing

References

Jürgen Kutscher, "M-Trends 2024: Our View from the Frontlines," Google Cloud Blog, 2024. [Online]. Available: https://cloud.google.com/blog/topics/threat-intelligence/m-trends-2024

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Published

2026-02-25

How to Cite

Abhishek Suman. (2026). Architecting Petabyte-Scale Stream Processing Systems for Cybersecurity: A Sharded Data and Compute Processing Strategy for Minimizing Incident Response Time in Real-Time Enterprise Defense. Journal of Computational Analysis and Applications (JoCAAA), 35(2), 421–431. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4995

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Section

Articles