Cybersecurity operations center load balancing techniques disclosed

ChangeBridge: Patent Apps - Business Methods (G06Q)

Published November 21st, 2025

Detected March 26th, 2026

Summary

The USPTO has published a patent application detailing techniques for load balancing within cybersecurity operations centers (SOCs). The disclosed methods aim to optimize analyst threat response by analyzing caseload history, creating analyst profiles, and dynamically assigning new threats based on severity, complexity, and analyst availability.

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What changed

This document is a patent application (US20260087429A1) filed by the USPTO, disclosing novel techniques for load balancing within cybersecurity operations centers (SOCs). The application details a system that accesses SOC caseload history, analyzes triage results to generate an analyst threat response profile augmented with resolution metrics and subjective ratings, and then assigns new cybersecurity threats to specific analysts based on this profile, threat severity, complexity, and analyst availability. It also includes mechanisms for reassigning existing SOC caseloads to increase analyst availability.

While this is a patent application and not a regulatory rule, it signals potential future technological advancements in cybersecurity operations. Companies involved in cybersecurity services or developing SOC management tools may find these disclosed techniques relevant for innovation. Compliance officers should be aware that such technologies could become industry standards or be incorporated into vendor solutions, potentially impacting how SOCs operate and how threat response is managed.

Source document (simplified)

← USPTO Patent Applications

CYBERSECURITY OPERATIONS CENTER LOAD BALANCING

Application US20260087429A1 Kind: A1 Mar 26, 2026

Inventors

Joshua McCarthy, David B McKinley, Lance Rund

Abstract

Disclosed techniques include cybersecurity operations center load balancing. A cybersecurity security operations center (SOC) caseload history is accessed. Triage results from the SOC caseload history are analyzed on a computer platform to produce an analyst threat response profile. The analyst threat response profile is augmented with threat response resolution metrics. The threat response resolution metrics are updated with a subjective rating. The subjective rating is supplied by management, peers, or machine learning. Notification of a new cybersecurity threat is received across a cybersecurity network by the SOC. The new cybersecurity threat is assigned to a specific analyst, based on the augmented analyst threat response profile. The assigning is further based on weighting of threat severity, threat complexity, and analyst availability. An existing SOC caseload is reassigned to increase availability of the specific analyst.