Wells Fargo Bank, N.a.

Upul D Hanwella

Mark David Castonguay

Traci H Nguyen

Bryan D Hall

Nicola A Maiorana

Uma Meyyappan

Balinder Singh Mangat

Kimarie Pike Matthews

Jennifer Toby Whateley

Matthew G Vanhouten

Maria J Latorre

Scott Edward Pitchford

David Lerner

Michael H Chang

Brian J Hanafee

Christopher Wayne Howser

Lizmari Brignoni

Nairobi N Kim

Ian Jensen

Erica Ulrich

Lisa Munter Clarke

Harlan H Bloom

Ajay Panikkar

Phillip H Griffin

Jeff J Stapleton

Ranganathan Kanchi

Chintan Mehta

Richard Joseph Schroeder

Mabel Oza

Todd Biggs

Shailesh Hedaoo

Luis Antonio Suarez

Kurt Paul Stevens

Sean Zhang

Samantha Grosby

James C Hudson

Kristin Deegan

Venkatesan Chinnaraju

William Norton Hebert

Kapil Soni

Kristin H Deegan

Kunal Jha

Ramakrishna Swarup Pogalur

Michelle Moore

Christian Tobias Sorensen

Shawna K Murphy Butterworth

Luiz Silva

Richard Stec

Systems and techniques for an system are described herein. In an example, an adaptive authentication system is adapted to receive a request at a first entity from a second entity for secure data of a user, where the second entity is remote from the first entity. The adaptive authentication system may be further adapted to transmit a prompt to a user device associated with the user for authentication of the user and authentication of the request. The adaptive authentication system may be further adapted to receive a response to the prompt and authenticate the user and the request based on the response. The adaptive authentication system may be further adapted to transmit the secure data of the user to the second entity.

Adaptive authentication

Securing digital assets in a vault that interfaces with multiple different third-party wallets to store keys/mnemonics. The vault interface accepts input from multiple different party wallets to combine multiple encryptions and secure storage techniques. Numerous cryptographic mechanisms are employed to securely pull a mnemonic phrase from a third-party wallet and into an institution's vault. A customer's mnemonic phrase is securely transported from a personal wallet into a secured institution's encrypted vault using the power of HSM to encrypt and decrypt a customer's mnemonic phrase securely.

Digital asset vault

Systems and methods may generally be used to automatically curate a blocklist of internet protocol (IP) addresses. An example method may include using risk factor scores for a particular IP address that was blocked by a traffic control component to determine whether to add the particular IP address to a blocklist. The example method may include, in response to a determination to add the particular IP address to the blocklist, generating an IP address entry in the blocklist for the particular IP address, the IP address entry optionally including a corresponding time-based expiration. The example method may include outputting the blocklist or the IP address entry, such as in response to a request from a firewall.

Internet protocol (IP) curator

Systems, methods, and apparatuses for authenticating requests to access one or more accounts over a network using authenticity evaluations of two or more automated decision engines are discussed. A login request for access to a user account may be submitted to multiple decision engines that each apply different rulesets for authenticating the login request, and output an evaluation of the authenticity of the login request. Based on evaluations from multiple automated decision engines, the login request may be allowed to proceed to validation of user identity and, if user identity is validated, access to the user account may be authorized. Based on the evaluations, the login attempt may also be rejected. One or more additional challenge question may be returned to the computing device used to request account access, and the login request allowed to proceed to validation of identity if the response to the challenge question is deemed acceptable.

Login and authentication methods and systems

Techniques are described that include detecting customer personal information within any appropriate set of data, such as customer communications produced by customer-facing services offered by an organization. Once detected, the customer personal information may be tokenized within the customer communications, making the data appropriate for external systems, such as cloud-hosted applications. The disclosed techniques include a masking service that may be plugged into an on-premises pipeline of any customer-facing service that makes requests to an off-premises, cloud-hosted application. The masking service may apply rule-based detection and/or machine learning-based detection to detect both structured and unstructured customer personal information included in customer communications. The masking service may further tokenize or otherwise obfuscate or replace the detected customer personal information. The tokenized customer communications may then be included in the requests to the cloud-hosted application or otherwise transmitted to external systems without exposing the customer personal information.

Protecting customer personal information in application pipeline

Disclosed are methods, systems, and machine-readable mediums which provide for customer chatbots that detect a customer handoff condition and in response, transferring the customer to a communication session with a live agent. The handoff condition may comprise an inability to understand the customer, an inability to answer the customer's question, expressions of frustration or anger on the part of the customer, a customer's express request to be transferred, or the like. The live agent may receive a complete history of the conversation with the chatbot so that the customer does not have to repeat him or herself to the live agent. The chatbot chat session may be linked to a social networking account of the customer and may take place in association with a social networking profile page of the company.

Automated chatbot transfer to live agent

Systems and techniques for an adaptive authentication system are described herein. In an example, an adaptive authentication system is adapted to receive a request at a first entity from a second entity for secure data of a user, where the second entity is remote from the first entity. The adaptive authentication system may be further adapted to transmit a prompt to a user device associated with the user for authentication of the user and authentication of the request. The adaptive authentication system may be further adapted to receive a response to the prompt and authenticate the user and the request based on the response. The adaptive authentication system may be further adapted to transmit the secure data of the user to the second entity.

One or more embodiments of techniques or systems for session management, security scoring, and friction management are provided herein. Sessions may be monitored for commonalities or other attributes or aspects and closed, terminated, or a freeze placed on additional sessions from being initiated. A security score may be provided which is indicative of how secure a user is with respect to one or more ways the user interacts with a resource. One or more suggested actions or score improvement strategies may be suggested to facilitate improvement of a security score for a user. Friction management may be provided by having one or more additional layers of security applied to an account of a user or an entity based on suspicious behavior or other factors.

Session management

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San Francisco, CA, United States of America

Upul D Hanwella