The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 06, 2021

Filed:

Jul. 13, 2018
Applicant:

Bank of America Corporation, Charlotte, NC (US);

Inventors:

Parthiban T. Shanmugam, Charlotte, NC (US);

Bayyareddy Sreenivasulu Reddy, Frisco, TX (US);

Assignee:

BANK OF AMERICA CORPORATION, Charlotte, NC (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 21/51 (2013.01); G06F 21/55 (2013.01); G06F 21/57 (2013.01); G06F 21/62 (2013.01); H04L 29/06 (2006.01);
U.S. Cl.
CPC ...
G06F 21/51 (2013.01); G06F 21/554 (2013.01); G06F 21/6245 (2013.01); G06F 21/6281 (2013.01); G06F 21/55 (2013.01); G06F 21/57 (2013.01); H04L 63/0428 (2013.01); H04L 63/1416 (2013.01); H04L 63/1441 (2013.01);
Abstract

Embodiments of the present disclosure provide a system, computer program product, and method for monitoring a non-production computing environment to determine the introduction of unexpected data into the non-production computing environment and, in the event that unexpected data is determined to be present, trigger requisite actions to address the concerns, such as notifying, via alert or the like, requisite entities of the unexpected data determining of the cause of the unexpected data in the non-production computing environment, determining whether the unexpected data is valid/acceptable for the non-production, and, if the unexpected data is invalid/unacceptable for the non-production computing environment, determining if un-sanitized data exists in the unexpected data and, if so, sanitize the data.


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