Abstract: A computer-implemented method of fraud protection is described. A server may receive one or more keywords and a likelihood of fraud from an external source. The server may receive an image of a document from a user device, wherein the document comprises at least one of a written communication or a printed communication. The server may extract text from the image of the document, compare the extracted text to the one or more stored keywords, and calculate a confidence level of fraud. The server may send an indication of the confidence level of fraud to the user device.

Abstract: A computer-implemented method of fraud protection is described. A server may receive one or more keywords and a likelihood of fraud from an external source. The server may receive an image of a document from a user device, wherein the document comprises at least one of a written communication or a printed communication. The server may extract text from the image of the document, compare the extracted text to the one or more stored keywords, and calculate a confidence level of fraud. The server may send an indication of the confidence level of fraud to the user device.

Abstract: Some examples, described herein, may include detecting a button press of a banking button on a remote control device associated with a media device. The banking button may be designated to access a financial institution. Some examples may include accessing a financial services platform based on detecting the button press. The financial services platform may be associated with the financial institution. Some examples may include providing account information, associated with a financial account of the financial institution, to the financial services platform. The account information, when provided, may cause the financial services platform to access the financial account. Some examples may include obtaining financial information, associated with the financial account, from the financial services platform. Some examples may include providing the financial information to the media device to enable the media device to present the financial information for display.

Abstract: A computer-implemented method of fraud protection is described. A server may receive one or more keywords and a likelihood of fraud from an external source. The server may receive an image of a document from a user device, wherein the document comprises at least one of a written communication or a printed communication. The server may extract text from the image of the document, compare the extracted text to the one or more stored keywords, and calculate a confidence level of fraud. The server may send an indication of the confidence level of fraud to the user device.

Abstract: A computer-implemented method of fraud protection is described. A server may receive one or more keywords and a likelihood of fraud from an external source. The server may receive an image of a document from a user device, wherein the document comprises at least one of a written communication or a printed communication. The server may extract text from the image of the document, compare the extracted text to the one or more stored keywords, and calculate a confidence level of fraud. The server may send an indication of the confidence level of fraud to the user device.

Abstract: The present disclosure describes systems and methods of fraud protection. A listening device may monitor ambient sound and detect one or more triggering sound patterns. The listening device may record the one or more triggering sound patterns and record a person's voice, and send the recordings to a server, wherein the server is configured to calculate a confidence level of fraud based on the one or more triggering sound patterns and the recording of the person's voice using a speech pattern model of the person, and to output an alert if the confidence level of fraud is greater than a threshold value.

Abstract: Some examples, described herein, may include detecting a button press of a banking button on a remote control device associated with a media device. The banking button may be designated to access a financial institution. Some examples may include accessing a financial services platform based on detecting the button press. The financial services platform may be associated with the financial institution. Some examples may include providing account information, associated with a financial account of the financial institution, to the financial services platform. The account information, when provided, may cause the financial services platform to access the financial account. Some examples may include obtaining financial information, associated with the financial account, from the financial services platform. Some examples may include providing the financial information to the media device to enable the media device to present the financial information for display.

Abstract: The present disclosure describes systems and methods of fraud protection. A listening device may monitor ambient sound and detect one or more triggering sound patterns. The listening device may record the one or more triggering sound patterns and record a person's voice, and send the recordings to a server, wherein the server is configured to calculate a confidence level of fraud based on the one or more triggering sound patterns and the recording of the person's voice using a speech pattern model of the person, and to output an alert if the confidence level of fraud is greater than a threshold value.

Abstract: Some examples, described herein, may include detecting a button press of a banking button on a remote control device associated with a media device. The banking button may be designated to access a financial institution. Some examples may include accessing a financial services platform based on detecting the button press. The financial services platform may be associated with the financial institution. Some examples may include providing account information, associated with a financial account of the financial institution, to the financial services platform. The account information, when provided, may cause the financial services platform to access the financial account. Some examples may include obtaining financial information, associated with the financial account, from the financial services platform. Some examples may include providing the financial information to the media device to enable the media device to present the financial information for display.

Abstract: Some examples, described herein, may include detecting a button press of a banking button on a remote control device associated with a media device. The banking button may be designated to access a financial institution. Some examples play include accessing a financial services platform based on detecting the button press. The financial services platform may he associated with the financial institution. Some examples may include providing account information, associated with a financial account of the financial institution, to the financial services platform. The account information, when provided, may cause the financial services platform to access the financial account. Some examples may include obtaining financial information, associated with the financial account, from the financial services platform. Some examples may include providing the financial information to the media device to enable the media device to present the financial information for display.

Abstract: A computer-implemented method of fraud protection is described. A server may receive one or more keywords and a likelihood of fraud from an external source. The server may receive an image of a document from a user device, wherein the document comprises at least one of a written communication or a printed communication. The server may extract text from the image of the document, compare the extracted text to the one or more stored keywords, and calculate a confidence level of fraud. The server may send an indication of the confidence level of fraud to the user device.

Abstract: The present disclosure describes systems and methods of fraud protection. A listening device may monitor ambient sound and detect one or more triggering sound patterns. The listening device may record the one or more triggering sound patterns and record a person's voice, and send the recordings to a server, wherein the server is configured to calculate a confidence level of fraud based on the one or more triggering sound patterns and the recording of the person's voice using a speech pattern model of the person, and to output an alert if the confidence level of fraud is greater than a threshold value.