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Microsoft patents security rules that add context to threat alerts

Patent drawing
Patent drawing from the official filing.

Microsoft describes a method for adding detailed context to cybersecurity detection rules using two stages of machine learning. The first stage identifies a broad threat category, while the second stage uses that result to pinpoint a specific technique. This extra information helps the system decide how to report or fix the issue when a threat is detected.

Why it mattersThis approach could make automated security responses more accurate by providing better context for each alert.

In the filing’s own words

Aspects herein pertain to a form of detection rule enrichment, in which a detection rule implemented in a security system is enriched with relevant context to assist actions such as reporting or remediation when the rule is triggered based on pattern matching to telemetry. A two-stage rule classification process is disclosed, where a first classifier assigns a first threat classification label (e.g., tactic) and a second classifier assigns a second threat classification label (e.g., technique). The classification is hierarchical in that second classifier uses the output of the first classifier (the first threat classification label) to determine the second threat classification label.

What exactly they claim (claim 1)

1. A computer-implemented method, comprising: assigning a first threat classification label to a detection rule, using a first machine learning (ML) classifier; assigning a second threat classification label to the detection rule, using a second ML classifier based on the first threat classification label; causing a cybersecurity detector to implement the detection rule on collected telemetry; and causing a response engine to implement, in response to an activation of the detection rule, a threat response action using the first threat classification label and the second threat classification label.

Facts

Company
Microsoft (Microsoft Technology Licensing, LLC)
Official title
ENRICHED RULE-BASED THREAT DETECTION IN SECURITY SYSTEMS
Publication number
US20260320186A1
Application number
19177477
Filed
Apr 11, 2025
Published
Oct 15, 2026
Inventors
5
Claims
20

Classified under

G06F 21/56 Physics & computingG06F 21/554 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.