Bank of America Corporation

W Scott Hammet

Kelly Renee-Drop Keiter

Kyle A Mayers

Sanjay Arjun Lohar

John Henry Denning

Ruchira Ghosh

Levi Weldon Mcvay

James R Crocker

Apparatus and methods for using deepfakes defensively to detect fake, spoofed, and hoax phone calls and videoconferences are provided. A program may record a target individual reciting exemplary phrases. The program may analyze the recordings to create a baseline. The program may use deepfake algorithms to create exemplar deepfake audiovisual representations of the target individual. The program may store the data in a database. The program may analyze, in real-time, a phone call or videoconference to determine whether they are legitimate or illegitimate by comparing the audio or audiovisual contents of the phone call or videoconference with the exemplar deepfakes. When the program determines the phone call or videoconference is illegitimate, the program may terminate the call or videoconference and inform the recipient and others.

Defensive deepfake for detecting live deepfaked audio and video

Systems for dynamically evaluating and controlling access to applications and systems are presented. In some examples, registration data may be received. In some examples, unauthorized activity data may be received. The unauthorized activity data may be analyzed to identify one or more vulnerable applications. Users of the one or more vulnerable applications may then be identified. Entitlements for the one or more vulnerable applications may be identified and, in particular, entitlements having privileged access may be identified. Users having entitlements with privileged access may be identified and one or more modified authentication requirements may be implemented.

Dynamic access evaluation and control system

Growing community of inventors

Charlotte, NC, United States of America

W Scott Hammet