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:
May. 19, 2026

Filed:

May. 29, 2023
Applicant:

Theom, Inc., San Jose, CA (US);

Inventors:

Navindra Yadav, Cupertino, CA (US);

Supreeth Hosur Nagesh Rao, Cupertino, CA (US);

Ravi Kanth Sankuratri, Cupertino, CA (US);

Danesh S. Irani, San Carlos, CA (US);

Alok Lalit Wadhwa, Milipitas, CA (US);

Vasil Dochkov Yordanov, San Jose, CA (US);

Venkateshu Cherukupalli, West Windsor, NJ (US);

Yiwei Wang, San Jose, CA (US);

Zhiwen Zhang, San Jose, CA (US);

Udayan Pramod Joshi, Cupertino, CA (US);

Assignee:

Theom, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1433 (2013.01); H04L 63/1466 (2013.01); H04L 63/1475 (2013.01);
Abstract

In one aspect, a computerized method for attack generation on a data lake, comprises: for a data lake repository: providing an attack generation mimicry tool; with the attack generation mimicry tool: implementing a reconnaissance phase attack generation; implementing an infiltration phase attack generation on the data lake repository; implementing a hiding and data intelligence collection phase of the attack by hiding from any monitoring or notification system of the data lake repository and surveying the data lake repository to determine what data is worth abusing or exfiltrating from the data lake repository; implementing data gathering phase of the attack that gathers data about other objects, attributes, and relationships in the data lake repository; and implementing the exfiltration of the data or the abuse of the data.


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