Automated evaluation, scoring, and quarantine of third-party patches for application software
An automated patch evaluation system using heuristics and machine learning assesses software patches for safety and reliability, preventing malicious code and optimizing installation success rates.
WO2026128322A1 Publication Date: 2026-06-18AUTOMOX INC
Patent Information
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- AUTOMOX INC
- Filing Date
- 2025-12-05
- Publication Date
- 2026-06-18
AI Technical Summary
⚠Technical Problem
Software patches can be unsafe due to high failure rates and potential malicious code, posing risks to IT systems and security.
⚗Method used
An automated evaluation system assesses software patches using heuristics and machine learning to determine a patch safe score, quarantines unsafe patches, and allows manual review before installation, ensuring compliance with user-defined thresholds and historical data.
🎯Benefits of technology
Ensures the safety and reliability of software patches by preventing malicious code and optimizing installation success rates based on user-specific security policies and system compatibility.
✦ Generated by Eureka AI based on patent content.
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Abstract
A technique is directed to methods and systems for evaluating patches for third-party applications for information technology or security-safety before installation. The patch evaluation system determines if a software patch is safe before making the patch available for installation. If the patch evaluation system determines a patch is unsafe, the patch is quarantined, placed in a queue for manual review, and / or is designated as not available for installation. For example, the system evaluates every patch for known malware before making that patch available to users for installation.
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