7104 Winding Creek Ln, Chesterfield, VA 23832 • (804)2335241
Richmond, VA
3318 Stone Manor Cir, Chester, VA 23831 • (804)7175206
Springfield, VA
Omaha, NE
Blacksburg, VA
Specialities
Business Planning Law • Securities Regulations Law • Federal Income • Estate and Gift Taxation Law • Securities & Investment Fraud • Probate • General Practice • Probate
Business Planning Law Securities Regulations Law Federal Income Estate and Gift Taxation Law Securities & Investment Fraud Probate General Practice Probate
ISLN:
903019895
Admitted:
1973
University:
Michigan State University, B.A., 1969; Michigan State University, B.A., 1969; Michigan State University, 1970; Michigan State University, 1970
Law School:
University of Michigan, J.D., 1973
Us Patents
Multi-Factor Authentication Using Customizable Physical Security Token
- McLean VA, US Jerry WAGNER - Chesterfield VA, US
International Classification:
H04L 29/06 G06F 21/36
Abstract:
In some implementations, an authentication system may receive, from a client device, a credential associated with a user account and a request to access a resource. The authentication system may transmit, to the client device, a request for an image of a customized physical security token associated with the user account. The authentication system may receive, from the client device, a first image. The authentication system may compare the first image with a representation of a second image of the customized physical security token associated with the user account. The authentication system may grant or denying access to the resource based on comparing the first image with the representation of the second image.
Methods And Systems For Implementing Risk Assessment Models
- McLean VA, US Marc LYONS - Glen Allen VA, US Magdalena CASTANEDA - Herndon VA, US Jerry WAGNER - Chesterfield VA, US
Assignee:
Capital One Services, LLC - McLean VA
International Classification:
G06Q 10/06 G06F 17/16
Abstract:
A computer-implemented method for assessing automation may include receiving risk factor data from a user. The risk factor data may correspond to one or more risk factors, as applied to an automation opportunity, wherein each risk factor has an associated risk inquiry and a factor weight. A risk score may be generated for each of the one or more risk factors, based on the risk factor data and a scoring matrix. A risk grade for the automation opportunity may be calculated based on the risk score for each of the one or more risk factors. Performance data related to the automation opportunity may be recorded and may be compared to the risk grade. Based on the comparison of the performance data to the risk grade, one or more risk factors, one or more factor weights, a scoring matrix, or a combination thereof, may be adjusted.