USPTO Patent US12585772B2: Malicious Activity Detection
Summary
The USPTO has granted patent US12585772B2 to Acronis International GmbH for a method of detecting malicious activity on endpoints. The patent describes using machine learning models trained on sequences of process behavior events to identify and alert on potential threats.
What changed
The United States Patent and Trademark Office (USPTO) has granted patent US12585772B2, titled 'Malicious activity detection by modeling end-point events as sequences,' to Acronis International GmbH. The patent details a system and method for detecting malicious activity on an endpoint by tracking process behavior, generating a provenance graph, transforming it into a sequence of events, and training a machine learning model to classify sequences and generate a probability of maliciousness. This patent covers novel approaches to endpoint security through advanced behavioral analysis and machine learning.
This patent grant represents a new intellectual property asset in the field of cybersecurity. While not a regulatory requirement, it signifies innovation in threat detection technologies. Companies developing or utilizing endpoint security solutions, particularly those employing machine learning for behavioral analysis, should be aware of this patent. No immediate compliance actions are required for regulated entities, but it may influence future technology development and licensing considerations in the cybersecurity sector.
Source document (simplified)
Malicious activity detection by modeling end-point events as sequences
Grant US12585772B2 Kind: B2 Mar 24, 2026
Assignee
Acronis International GmbH
Inventors
Candid Wuest, Philipp Gysel, Dinil Mon Divakaran, Andrey Ustyuzhanin, Kenneth Nwafor, Serg Bell, Stanislav Protasov
Abstract
Systems and methods for detecting malicious activity on an endpoint, the endpoint having executing processes, including tracking behavior of executing processes, generating a provenance graph to group the behavior events, transforming the provenance graph into a sequence of behavior events, training a sequence classification machine learning model based on the sequence of behavior events, processing a sequence of test behavior events using the sequence classification machine learning model to generate a probability of maliciousness, and alerting for malicious activity when the probability of maliciousness for the sequence of test behavior events is greater than a threshold.
CPC Classifications
G06N 3/047 G06N 20/00 G06F 21/566 G06F 2221/034
Filing Date
2023-09-19
Application No.
18470237
Claims
20
Named provisions
Related changes
Source
Classification
Who this affects
Taxonomy
Browse Categories
Get Telecom & Technology alerts
Weekly digest. AI-summarized, no noise.
Free. Unsubscribe anytime.
Get alerts for this source
We'll email you when ChangeBridge: Patent Grants - AI & Computing (G06N) publishes new changes.