{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11956253","patent":{"patent_number":"US-11956253","title":"Ranking cybersecurity alerts from multiple sources using machine learning","assignee":null,"inventors":[],"filing_date":"2021-04-23T00:00:00.000Z","publication_date":"2024-04-09T00:00:00.000Z","cpc_codes":["H04L","G06N","G06N","G06N","H04L"],"num_claims":9,"abstract":"The present disclosure relates to a machine-learning system, method, and computer program for ranking security alerts from multiple sources. The system self-learns risk levels associated with alerts by calculating risk probabilities for the alerts based on characteristics of the alerts and historical alert data. In response to receiving a security alert from one of a plurality of alert-generation sources, the alert-ranking system evaluates the security alert with respect to a plurality of feature indicators. The system creates a feature vector for the security alert based on the feature indicator values identified for the alert. The system then calculates a probability that the security alert relates to a cybersecurity risk in the computer network based on the created feature vector and historical alert data in the network. The system ranks alerts from a plurality of different sources based on the calculated cybersecurity risk probabilities."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Ranking cybersecurity alerts from multiple sources using machine learning","description":"The present disclosure relates to a machine-learning system, method, and computer program for ranking security alerts from multiple sources. The system self-learns risk levels associated with alerts b","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11956253","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-11956253","citation_suggestion":"Patentable. \"Ranking cybersecurity alerts from multiple sources using machine learning\" (US-11956253). https://patentable.app/patents/US-11956253","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11956253","json":"https://patentable.app/api/llm-context/US-11956253","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T11:40:42.793Z"}