{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11943235","patent":{"patent_number":"US-11943235","title":"Detecting suspicious user logins in private networks using machine learning","assignee":null,"inventors":[],"filing_date":"2021-01-04T00:00:00.000Z","publication_date":"2024-03-26T00:00:00.000Z","cpc_codes":["H04L","H04L","G06F","G06F","G06N","G06N","G06N","G06N","H04L","H04L","H04W","H04W"],"num_claims":20,"abstract":"Systems and methods include a computer-implemented method for detecting anomalous user logins. User login data for users is filtered, including monitoring workstations and servers accessed by users to obtain the user login data for the users. User login records are created for a current time period based, at least in part, on the user login data. An anomaly score is determined for each user, where the anomaly score indicates a deviation by the user from historical login patterns of the user. A user machine learning (ML) model is updated based on the predicting. User period login records are maintained over time using processed user login data. The user ML model is trained using the user periodic login records. Enriched login statistics are generated using the user ML model and the user periodic login records. A report that includes the enriched login statistics is generated in a graphical user interface."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Detecting suspicious user logins in private networks using machine learning","description":"Systems and methods include a computer-implemented method for detecting anomalous user logins. User login data for users is filtered, including monitoring workstations and servers accessed by users to","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11943235","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11943235","citation_suggestion":"Patentable. \"Detecting suspicious user logins in private networks using machine learning\" (US-11943235). https://patentable.app/patents/US-11943235","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11943235","json":"https://patentable.app/api/llm-context/US-11943235","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T17:23:14.355Z"}