Agnostic image digitizer to automate compliance filings

    公开(公告)号:US12260416B2

    公开(公告)日:2025-03-25

    申请号:US17874720

    申请日:2022-07-27

    Abstract: Methods for automating a submission of a compliance filing from an organization to a regulatory authority. Methods may include enhancing compatibility of a document submitted by an entity to an organization with the latter's database to facilitate automated submission of a compliance document. Methods may include receiving a populated document in a first format from the entity, using a processor to digitize the document into a digital format, such as bytes, and further into a second format, where the first format may not be compatible with the database and the second format may be compatible with the database. Methods may include updating the database with data from the document. Methods may include using the processor to run a statistical model to determine an appropriate compliance filing relating to change in information about the entity, to populate the compliance filing, and to submit the completed compliance filing with the regulatory authority.

    Agnostic image digitizer to detect fraud

    公开(公告)号:US12259873B2

    公开(公告)日:2025-03-25

    申请号:US18509719

    申请日:2023-11-15

    Abstract: Methods for enhancing compatibility of a document of an entity with an organization's database on a computer server to facilitate detection of a fraudulent submission. Methods may include receiving a populated document in a first format from the entity, using a processor to digitize the document into a digital format, such as bytes, and further into a second format, where the first format may not be compatible with the database and the second format may be compatible with the database. Methods may include using the processor, optionally running a statistical model, to determine an entity identifier, a predicted value of a data field in the document, and whether there is a difference between the value in the predicted data field and a corresponding value in the populated document. Methods may include implementing a corrective action, such as raising a fraud alert at the organization, when there is a difference.

    AGNOSTIC IMAGE DIGITIZER TO DETECT FRAUD
    5.
    发明公开

    公开(公告)号:US20240037089A1

    公开(公告)日:2024-02-01

    申请号:US17874714

    申请日:2022-07-27

    CPC classification number: G06F16/2365 G06F21/6218

    Abstract: Methods for enhancing compatibility of a document of an entity with an organization's database on a computer server to facilitate detection of a fraudulent submission. Methods may include receiving a populated document in a first format from the entity, using a processor to digitize the document into a digital format, such as bytes, and further into a second format, where the first format may not be compatible with the database and the second format may be compatible with the database. Methods may include using the processor, optionally running a statistical model, to determine an entity identifier, a predicted value of a data field in the document, and whether there is a difference between the value in the predicted data field and a corresponding value in the populated document. Methods may include implementing a corrective action, such as raising a fraud alert at the organization, when there is a difference.

    AGNOSTIC IMAGE DIGITIZER TO AUTOMATE COMPLIANCE FILINGS

    公开(公告)号:US20240037565A1

    公开(公告)日:2024-02-01

    申请号:US17874720

    申请日:2022-07-27

    CPC classification number: G06Q30/018

    Abstract: Methods for automating a submission of a compliance filing from an organization to a regulatory authority. Methods may include enhancing compatibility of a document submitted by an entity to an organization with the latter's database to facilitate automated submission of a compliance document. Methods may include receiving a populated document in a first format from the entity, using a processor to digitize the document into a digital format, such as bytes, and further into a second format, where the first format may not be compatible with the database and the second format may be compatible with the database. Methods may include updating the database with data from the document. Methods may include using the processor to run a statistical model to determine an appropriate compliance filing relating to change in information about the entity, to populate the compliance filing, and to submit the completed compliance filing with the regulatory authority.

    Apparatus and methods for automating password generators

    公开(公告)号:US12199975B2

    公开(公告)日:2025-01-14

    申请号:US17453014

    申请日:2021-11-01

    Inventor: Marcus R. Matos

    Abstract: Apparatus and methods for automating replacement and disablement of one-time password (“OTP”) generators are provided. The apparatus and methods may include an authentication engine on a server and an OTP generator that may generate a standard OTP or an enhanced OTP that includes additional information beyond the standard OTP. The authentication engine may analyze the additional information when an enhanced OTP is received, and in response to that additional information, execute an operation. The operation may include initiating the sending of a new OTP generator to a user when the OTP generator's battery is failing or the OTP generator has been damaged or disabling an OTP generator when the OTP generator has been tampered with.

    AGNOSTIC IMAGE DIGITIZER TO DETECT FRAUD
    10.
    发明公开

    公开(公告)号:US20240086395A1

    公开(公告)日:2024-03-14

    申请号:US18509719

    申请日:2023-11-15

    CPC classification number: G06F16/2365 G06F21/6218

    Abstract: Methods for enhancing compatibility of a document of an entity with an organization's database on a computer server to facilitate detection of a fraudulent submission. Methods may include receiving a populated document in a first format from the entity, using a processor to digitize the document into a digital format, such as bytes, and further into a second format, where the first format may not be compatible with the database and the second format may be compatible with the database. Methods may include using the processor, optionally running a statistical model, to determine an entity identifier, a predicted value of a data field in the document, and whether there is a difference between the value in the predicted data field and a corresponding value in the populated document. Methods may include implementing a corrective action, such as raising a fraud alert at the organization, when there is a difference.

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