{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11949703","patent":{"patent_number":"US-11949703","title":"Systems and methods for multivariate anomaly detection in software monitoring","assignee":null,"inventors":[],"filing_date":"2022-11-15T00:00:00.000Z","publication_date":"2024-04-02T00:00:00.000Z","cpc_codes":["H04L","G06F","G06F","G06N","G05B"],"num_claims":20,"abstract":"Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Systems and methods for multivariate anomaly detection in software monitoring","description":"Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that trac","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11949703","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-11949703","citation_suggestion":"Patentable. \"Systems and methods for multivariate anomaly detection in software monitoring\" (US-11949703). https://patentable.app/patents/US-11949703","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11949703","json":"https://patentable.app/api/llm-context/US-11949703","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:32:48.868Z"}