-
公开(公告)号：US20240185354A1
公开(公告)日：2024-06-06
申请号：US18437315
申请日：2024-02-09
Applicant: Brighterion, Inc.
Inventor： Akli Adjaoute
Abstract: A method of preventing healthcare fraud-waste-abuse uses artificial intelligence machines to limit financial losses. Healthcare payment request claims are analyzed by predictive models and their behavioral details are compared to running profiles unique to each healthcare provider submitting the claims. A decision results that the instant healthcare payment request claim is or is not fraudulent-wasteful-abusive. If it is, a second analysis of a group behavioral in which the healthcare provider is clustered using unsupervised learning algorithms and compared to a running profile unique to each group of healthcare providers submitting the claims. An overriding decision results if the instant healthcare payment request claim is or is not fraudulent-wasteful-abusive according to group behavior.
-
公开(公告)号：US20240176877A1
公开(公告)日：2024-05-30
申请号：US18437347
申请日：2024-02-09
Applicant: Brighterion, Inc.
Inventor： Akli Adjaoute
IPC: G06F21/55 , G06F11/34 , G06F21/00 , G06N20/00 , G06Q10/0635 , G06Q10/0639 , H04L9/32 , H04L9/40
CPC classification number: G06F21/552 , G06F11/3438 , G06F11/3476 , G06F21/00 , G06F21/55 , G06F21/554 , G06N20/00 , G06Q10/0635 , H04L63/1433 , G06Q10/06398 , H04L9/3231
Abstract: A computer implemented and electronic process is provided that uses artificial intelligence to detect unauthorized activity by an insider or hacker. Electronic systems that employ artificial intelligence and machine learning to detect unauthorized transaction activity by insiders or hackers for a computer network system are also provided. Hardware required for carrying out the invention typically include a plurality of networked computers. Specialized software and/or firmware is typically needed in connection with the hardware for carrying out the invention.
-
公开(公告)号：US20240046156A1
公开(公告)日：2024-02-08
申请号：US18453914
申请日：2023-08-22
Applicant: Brighterion, Inc.
Inventor： Akli Adjaoute
IPC: G06N20/00 , G06N5/04 , G06F16/215
CPC classification number: G06N20/00 , G06N5/04 , G06F16/215
Abstract: A method that improves the training of predictive models. Better trained predictive models make better predictions, and can classify transactions with reduced levels of false positives and false negative. Included is an apparatus for executing a data clean-up algorithm that harmonizes a wide range of real world supervised and unsupervised training data into a single, error-free, uniformly formatted record file that has every field coherent and well populated with information.
-
公开(公告)号：US11748758B2
公开(公告)日：2023-09-05
申请号：US17198473
申请日：2021-03-11
Applicant: Brighterion, Inc.
Inventor： Akli Adjaoute
CPC classification number: G06Q20/4016 , G06N20/00 , G06N3/042
Abstract: A business method to reverse an authorization request denial made according to general guidelines if the particular customer and the particular transaction pass various threshold tests. Alternatively, each customer is assigned different and independent personal thresholds for transaction types, amounts, times, locations, and context. These thresholds are then applied if an instant payment transaction request is about to be declined.
-
公开(公告)号：US11496480B2
公开(公告)日：2022-11-08
申请号：US16743009
申请日：2020-01-15
Applicant: Brighterion, Inc.
Inventor： Akli Adjaoute
Abstract: An Internet-of-things (IoT) mechanizes, computerizes, automates, instruments, includes, and connects a broadly dispersed and extensively diverse universe of unrelated “things” to the Internet, e.g., credit cards, home appliances, industrial machinery, airplanes, cars, municipal water pumps, mobile devices, rain gauges, etc. Each thing is assigned a resident local “smart agent”. Or an entity, manifesting remotely only as transaction records and reports, is assigned a virtual smart agent in a network server. These data structures follow, track, record, chart, monitor, characterize, describe, render, and otherwise provide a label and handle on independent things and entities.
-
Patent Agency Ranking
公开(公告)号：US10896421B2
公开(公告)日：2021-01-19
申请号：US14522463
申请日：2014-10-23
Applicant: Brighterion, Inc.
Inventor： Akli Adjaoute
Abstract: A real-time fraud prevention system enables merchants and commercial organizations on-line to assess and protect themselves from high-risk users. A centralized database is configured to build and store dossiers of user devices and behaviors collected from subscriber websites in real-time. Real, low-risk users have webpage click navigation behaviors that are assumed to be very different than those of fraudsters. Individual user devices are distinguished from others by hundreds of points of user-device configuration data each independently maintains. A client agent provokes user devices to volunteer configuration data when a user visits respective webpages at independent websites. A collection of comprehensive dossiers of user devices is organized by their identifying information, and used calculating a fraud score in real-time. Each corresponding website is thereby assisted in deciding whether to allow a proposed transaction to be concluded with the particular user and their device.
-
公开(公告)号：US20200250535A1
公开(公告)日：2020-08-06
申请号：US16856131
申请日：2020-04-23
Applicant: Brighterion, Inc.
Inventor： Akli Adjaoute
Abstract: A method for operating digital electronic appliance that empanels several different artificial intelligence (AI) classification technologies into a “jury” uses combinational digital logic to render “verdicts” about the need for service and impending equipment failures of the machines they monitor. Networks can be used to forward signals from remote locations to a centralized appliance that may be plugged as a module into a server. The appliance outputs can also be communicated over networks to servers that will muster appropriate maintenance personnel who are forewarned as to the nature of the trouble
-
公开(公告)号：US20180053114A1
公开(公告)日：2018-02-22
申请号：US14613383
申请日：2015-02-04
Applicant: BRIGHTERION, INC.
Inventor： Akli Adjaoute
CPC classification number: G06N20/00 , G06N3/02 , G06N3/126 , G06N7/005 , G06Q20/4016 , G06Q20/405 , G06Q30/0201
Abstract: An artificial intelligence system comprises a computer network server connected to receive and analyze millions of simultaneous text and/or voice messages written by humans to be read and understood by humans. Key, or otherwise important words in sentences are recognized and arrayed. Each such word is contributed to a qualia generator that spawns the word into its possible contexts, themes, or other reasonable ambiguities that can exist at the level of sentences, paragraphs, and missives. A thesaurus-like table is employed to expand each word into a spread of discrete definitions. Several such spreads are used as templates on the others to find petals that exhibit a convergence of meaning. Once the context of a whole missive has been predicted, each paragraph is deconstructed into sub-contexts that are appropriate within the overall theme. Particular contexts identified are then useful to trigger an actionable output.
-
公开(公告)号：US09779407B2
公开(公告)日：2017-10-03
申请号：US14454749
申请日：2014-08-08
Applicant: Brighterion, Inc.
Inventor： Akli Adjaoute
CPC classification number: G06Q30/0185 , G06F19/00 , G06Q40/08 , G06Q50/22
Abstract: Real-time fraud prevention software-as-a-service (SaaS) products include computer instruction sets to enable a network server to receive medical histories, enrollments, diagnosis, prescription, treatment, follow up, billings, and other data as they occur. The SaaS includes software instruction sets to combine, correlate, categorize, track, normalize, and compare the data sorted by patient, healthcare provider, institution, seasonal, and regional norms. Fraud reveals itself in the ways data points deviate from norms in nonsensical or inexplicable conduct. The individual behaviors of each healthcare provider are independently monitored, characterized, and followed by self-spawning smart agents that can adapt and change their rules as the healthcare providers evolve. Such smart agents will issue flags when their particular surveillance target is acting out of character, outside normal parameters for them. Fraud controls can therefore be much tighter than those that have to accommodate those of a diverse group.
-
公开(公告)号：US20150073981A1
公开(公告)日：2015-03-12
申请号：US14525273
申请日：2014-10-28
Applicant: Brighterion, Inc.
Inventor： Akli Adjaoute
IPC: G06Q20/40
CPC classification number: G06Q20/4016 , G06Q30/0225
Abstract: A merchant data breach process comprises processing daily payment transaction data with a risk and compliance platform to obtain a fraud score for each constituent transaction. Constituent transactions with high risk fraud scores are sorted into a table according to the transaction date, cardholder, and merchant. The table data is scored according to suspected card visits, highly probable visits, and all card visits. The scores are normalized according to merchant size grouping through the use of multipliers. The normalized scores are summed together day-by-day into a final score. A timely warning of an underlying and expanding security rupture caused by a merchant data breach is issued for damage control and law enforcement.
Abstract translation: 商业数据泄露处理包括用风险和合规平台处理日常支付交易数据，以获得每个组成交易的欺诈分数。 具有高风险欺诈分数的成分交易根据交易日期，持卡人和商家分为表格。 根据可疑卡片访问，高度可能的访问和所有卡片访问，对表数据进行评分。 根据使用乘数的商家大小分组对得分进行归一化。 归一化的分数一起被并入一个最终的分数。 针对损害控制和执法情况，及时发出商业数据泄露造成的安全破裂的根本和不断扩大的警告。
-
-
-
-
-
-
-
-
-
Search Results
94
records
(took 0.03 seconds)
