{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11281552","patent":{"patent_number":"US-11281552","title":"Self-learning alerting and anomaly detection","assignee":null,"inventors":[],"filing_date":"2019-04-30T00:00:00.000Z","publication_date":"2022-03-22T00:00:00.000Z","cpc_codes":["G06N","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F","G06F"],"num_claims":20,"abstract":"Methods and systems for evaluating metrics (e.g., quality of service metrics) corresponding to a monitored computer, detecting metric anomalies, and issuing alerts, are disclosed. A metrics collecting agent, operating on a monitored computer, collects metrics corresponding to the monitored computer and/or one or more monitored services. These metrics are transmitted to a monitoring server that dynamically determines metric thresholds corresponding to normal metrics and anomalous metrics. Using these metric thresholds, along with a machine learning model, the monitoring server can determine whether one or more metrics are anomalous, automatically issue alerts to security and operations teams, and/or transmit a control instruction to the monitored computer in order to fix the issue causing the anomalous metrics."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Self-learning alerting and anomaly detection","description":"Methods and systems for evaluating metrics (e.g., quality of service metrics) corresponding to a monitored computer, detecting metric anomalies, and issuing alerts, are disclosed. A metrics collecting","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11281552","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-11281552","citation_suggestion":"Patentable. \"Self-learning alerting and anomaly detection\" (US-11281552). https://patentable.app/patents/US-11281552","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11281552","json":"https://patentable.app/api/llm-context/US-11281552","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T14:30:10.781Z"}