{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11961095","patent":{"patent_number":"US-11961095","title":"Fraud detection and analysis","assignee":null,"inventors":[],"filing_date":"2021-06-02T00:00:00.000Z","publication_date":"2024-04-16T00:00:00.000Z","cpc_codes":["G06Q","G06N","G06N","G06Q","G06Q","G06Q","G06Q","G06Q","G06Q","G06Q"],"num_claims":6,"abstract":"Systems and methods generate a risk score for an account event. The systems and methods automatically generate a causal model corresponding to a user, wherein the model estimates components of the causal model using event parameters of a previous event undertaken by the user in an account of the user. The systems and methods predict expected behavior of the user during a next event in the account using the causal model. Predicting the expected behavior of the user includes generating expected event parameters of the next event. The systems and methods use a predictive fraud model to generate fraud event parameters. Generation of the fraud event parameters assumes a fraudster is conducting the next event, wherein the fraudster is any person other than the user. The systems and methods generate a risk score of the next event to indicate the relative likelihood the future event is performed by the user."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Fraud detection and analysis","description":"Systems and methods generate a risk score for an account event. The systems and methods automatically generate a causal model corresponding to a user, wherein the model estimates components of the cau","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11961095","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-11961095","citation_suggestion":"Patentable. \"Fraud detection and analysis\" (US-11961095). https://patentable.app/patents/US-11961095","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11961095","json":"https://patentable.app/api/llm-context/US-11961095","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T16:14:34.197Z"}