Detecting Anomalous Network Activity - Patent EP4078417A1
Summary
The European Patent Office published EP4078417A1, a patent application by Microsoft Technology Licensing LLC for methods of detecting anomalous network activity using trained classifiers. The patent covers machine learning and AI-based approaches to identifying unusual network patterns for cybersecurity applications.
What changed
Microsoft Technology Licensing LLC was granted European Patent EP4078417A1 for techniques in detecting anomalous network activity. The patent, published March 25, 2026, covers methods using trained classifiers and machine learning algorithms (classified under G06N 5/01 and G06N 7/01) to identify unusual network behavior patterns. The designated states include all EU member states plus Switzerland, Norway, and other European countries.
Patent publications do not create compliance obligations or require regulatory action. Compliance teams may reference this patent for awareness of Microsoft's intellectual property in AI-driven network security. No deadlines, filing requirements, or penalties are associated with this publication.
Source document (simplified)
DETECTING ANOMALOUS NETWORK ACTIVITY
Publication EP4078417A1 Kind: A1 Mar 25, 2026
Applicants
Microsoft Technology Licensing, LLC
Inventors
BERTIGER, Anna Swanson, SANNA PASSINO, Francesco, NEIL, Joshua
IPC Classifications
H04L 9/40 20220101AFI20260122BHEP G06N 5/01 20230101ALI20260122BHEP G06N 7/01 20230101ALI20260122BHEP H04L 41/142 20220101ALI20260122BHEP H04L 41/147 20220101ALI20260122BHEP G06F 21/55 20130101ALI20260122BHEP H04W 12/12 20210101ALI20260122BHEP H04L 43/0811 20220101ALI20260122BHEP
Designated States
AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LI, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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