{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11522895","patent":{"patent_number":"US-11522895","title":"Anomaly detection","assignee":null,"inventors":[],"filing_date":"2022-04-22T00:00:00.000Z","publication_date":"2022-12-06T00:00:00.000Z","cpc_codes":["H04L","G06F","G06F","H04L","H04L"],"num_claims":17,"abstract":"Computer-implemented method of detecting potential cybersecurity threats from collected data pertaining to a monitored network, the collected data comprising network data and/or endpoint data. The method comprises structuring the collected data as at least one data matrix, each row of the data matrix being a datapoint and each column corresponding to a feature. The method also comprises identifying one or more datapoints as anomalous, thereby detecting a potential cybersecurity threat. The method also comprises extracting causal information about the anomalous datapoint based on an angular relationship between a second-pass coordinate vector of the anomalous datapoint and a second-pass coordinate vector of one or more features. The second-pass coordinate vectors are determined by applying a second-pass singular value decomposition (SVD) to a residuals matrix. The residuals matrix is computed between the data matrix and an approximation of the data matrix by applying a first-pass truncated SVD to the data matrix."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Anomaly detection","description":"Computer-implemented method of detecting potential cybersecurity threats from collected data pertaining to a monitored network, the collected data comprising network data and/or endpoint data. The met","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11522895","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-11522895","citation_suggestion":"Patentable. \"Anomaly detection\" (US-11522895). https://patentable.app/patents/US-11522895","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11522895","json":"https://patentable.app/api/llm-context/US-11522895","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T02:49:35.544Z"}