US 11,675,915 B2
Protecting data based on a sensitivity level for the data
Nilesh P. Bhosale, Pune (IN); Joseph W. Dain, Vail, AZ (US); Gregory T. Kishi, Oro Valley, AZ (US); and Sandeep R. Patil, Pune (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Apr. 16, 2019, as Appl. No. 16/386,134.
Application 16/386,134 is a continuation in part of application No. 16/376,960, filed on Apr. 5, 2019.
Prior Publication US 2020/0320208 A1, Oct. 8, 2020
Int. Cl. G06F 21/62 (2013.01); G06N 3/08 (2023.01); G06F 21/57 (2013.01)
CPC G06F 21/62 (2013.01) [G06F 21/577 (2013.01); G06N 3/08 (2013.01); G06F 2221/034 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
training a cognitive network, utilizing metadata associated with historic data threats;
inputting metadata associated with a malicious current data threat into the trained cognitive network, the metadata including an identification of the malicious current data threat, one or more types of data susceptible to and negatively affected by the malicious current data threat, and one or more locations where the malicious current data threat has occurred;
identifying, by the trained cognitive network, one or more stored instances of data determined to be vulnerable to the malicious current data threat,
wherein the one or more stored instances of data are susceptible to being attacked by the malicious current data threat; and
adjusting one or more security aspects of the one or more stored instances of data determined to be vulnerable to the malicious current data threat, wherein the adjusting includes backing up the one or more stored instances of data determined to be vulnerable to the malicious current data threat according to determined sensitivity level(s) of the one or more stored instances of data.