Bank of America Corporation

Donald Hess

Steven E Sinks

Jonathan Sheedy

Jared D Wilson

Matthew Findley

Brian Devine

Brian P Prange

Joshua Jenkins

Various aspects of the disclosure relate to automated monitoring and detection of computing threats. A threat detection computing system is configured to monitor for security threats on a networked system. The threat detection system monitors process calls to detect otherwise benign activity that exceeds an expected threshold and identifies threat actor actions that would otherwise go un-noticed and be associated with normal computer activity.

Threshold based detection

Aspects of the disclosure relate to preventing data loss using enhanced analysis of the URLs and URIs in webpage requests. A computing platform may receive a user request to access a webpage, and may determine whether the webpage is regularly accessed by the user and whether the user is permitted to access the webpage. Based on determining the user might not regularly access the website, but that the user is permitted to access the webpage, the computing platform may engage an artificial intelligence (AI) engine to parse the URL and URI from the webpage request. The AI engine may compare the URL to source code associated with the webpage to determine whether the URI was re-written. The computing platform may grant the webpage request based on determining the source code corresponds to the URL and based on determining the URI might not have been re-written.

Preventing data loss using enhanced analysis of the URLs and URIs in webpage requests

Aspects of the disclosure relate to email verification. A computing platform may receive an electronic message and identify one or more portions of content in the message. Then, the computing platform may generate and embed one or more message-specific identifiers into the electronic message and store electronic message information associating the one or more portions of content with the one or more embedded message-specific identifiers. Thereafter, the computing platform may receive an electronic message verification request to verify authenticity of an identified electronic message received by a computing device. The computing platform may prompt a user of the computing device to provide authentication information associated with one or more portions of content of the identified electronic message. Based on comparing the authentication information provided by the user to the stored electronic message information, the computing platform may determine whether the identified electronic message is valid and send a notification accordingly.

Electronic mail verification

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Charlotte, NC, United States of America

Donald Hess