IBM Patent Tracks Potential Attackers Using AI Techniques
Summary
The European Patent Office published IBM's patent application EP4441644A1 for an AI-based system that tracks potential attackers on external computer systems. The patent covers machine learning techniques for detecting and monitoring security threats. No regulatory compliance requirements or deadlines are associated with this patent publication.
What changed
IBM filed European patent application EP4441644A1 for an AI system designed to track potential attackers on external computer systems. The invention utilizes machine learning techniques (G06N classification) for cybersecurity threat detection and monitoring. Inventors include Paluch, Kowalczyk, Grönseisen, and Butucea Panait. The patent is designated across all EPO member states including Germany, France, UK, Italy, Spain, and other European jurisdictions.
Patent publications do not impose compliance obligations on third parties. Organizations in the technology and cybersecurity sectors may review the patent claims to assess potential licensing needs or competitive implications. This publication is informational and marks the examination stage of IBM's patent application with the European Patent Office.
Source document (simplified)
TRACKING A POTENTIAL ATTACKER ON AN EXTERNAL COMPUTER SYSTEM
Publication EP4441644A1 Kind: A1 Mar 25, 2026
Applicants
International Business Machines Corporation
Inventors
PALUCH, Michal, KOWALCZYK, Szymon, GR NSEISEN, Jirí, BUTUCEA PANAIT, Marcel
IPC Classifications
G06F 21/55 20130101AFI20260218BHEP H04L 9/40 20220101ALI20260218BHEP G06N 3/00 20230101ALI20260218BHEP G06N 5/00 20230101ALI20260218BHEP
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, ME, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR
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