Bank of America Corporation

Tao Huang

Xianhong Zhang

Kapil Pruthi

Raghav Shenoy

Andy Keys

Arul Arasu Madavadiyan

Vikram Jalota

Palash K Shil

Sriharsha Jana

Ramakrishna R Yannam

Kent Steger

Archie Agrawal

Anuradha Girish Sethuram

Sateesh Siripurapu

Akshay Jain

Jorge Kara

Manoj Shankar

Ali Salim

Christine Co

Sarah M Fatemi

Sridevi Rachakulla

A telephonic routing system to enable rerouting a call between a live agent and an automated agent. The system may include a receiver configured to receive a telephonic call from a caller. The system may also include a router configured to route the telephonic call to a first communication pathway where the first communication pathway may connect the telephonic call to a live agent headset device. The system may also include a processor configured to retrieve a customer profile associated with a phone number of the telephonic call and display authentication data, on a graphical user interface ('GUI') of a computing device associated with the live agent headset device. The router may be further configured to reroute the telephonic call to a second communication pathway for verifying an authenticity of the caller. The second communication pathway may establish a connection between the telephonic call and the automated agent.

Enhanced interactive voice response system providing bi-communication pathways for call support and routing

Methods, apparatus, and systems for detection and remediation of an identified attempt of impersonation of a digital entity. The methods may include authenticating a call received by a user device. The methods may include instantiating an entity-operated application on the user device. The methods may include detecting one or more keywords indicating that the call is associated with a predefined entity. The methods may include generating and transmitting a one-time token to the predefined entity. The methods may include identifying, during the call, a first voice and a second voice, the second voice being different from the first voice. The methods may include processing words identified as being uttered by the second voice into groups of text utterances using a natural language processing ('NLP') model. The methods may include detecting, during a predetermined time period, if any text utterances from the groups of text utterances correspond to the one-time token.

User initiated entity verification

A one-way data migration system may shift authentication data from a legacy database to a current database. The system may include one or more databases, a mobile device, a mobile device processor, a backend server, a backend receiver, a backend processor, and a backend transmitter. The backend transmitter may transmit requests to the mobile device. The backend receiver may receive the usernames and passwords. The backend processor may authenticate the input usernames and passwords using a hash previously stored within a first database. The backend processor may create a current or updated hash for the password. The system may change the underlying pathway from a pathway associated with the hash previously stored within the first database to a current pathway associated with the current hash. A second database may store the current hash. Following storage of the current hash, the processor may flag the username and/or password as migrated.

One way data migration system

Aspects of the disclosure relate to transforming data structures and data objects. A computing platform may query a logical view of a data table associated with a first database maintained by a first database server in a first schema and may receive source data associated with the logical view. Subsequently, the computing platform may split the source data into a plurality of data chunks associated with the logical view. Next, the computing platform may move the plurality of data chunks to a plurality of nodes configured to receive and transform the plurality of data chunks from the first schema to a second schema different from the first schema. Then, the computing platform may command the plurality of nodes to transform the plurality of data chunks and may move the transformed data from the plurality of nodes to a second database maintained by a second database server in the second schema.

Transforming data structures and data objects for migrating data between databases having different schemas

Aspects of the disclosure relate to optimizing data replication across multiple data centers. A computing platform may receive, from an authentication hub computing platform, an event message corresponding to an event associated with the authentication hub computing platform. In response to receiving the event message, the computing platform may transform the event message to produce multiple transformed messages. The multiple transformed messages may include a first transformed message associated with a first topic and a second transformed message associated with a second topic different from the first topic. Subsequently, the computing platform may send, to at least one messaging service computing platform associated with at least one other data center different from a data center associated with the computing platform, the multiple transformed messages. In some instances, the event message may include information identifying a user account login event that occurred at the authentication hub computing platform.

Optimizing data replication across multiple data centers

Aspects of the disclosure relate to optimizing data processing across server clusters and data centers using checkpoint-based data replication. A computing platform may determine to initiate a data processing job associated with identifying one or more features of a source dataset, and the data processing job may include multiple processing steps. Based on determining to initiate the data processing job, the computing platform may generate one or more commands directing one or more cluster server nodes associated with a data center to execute the multiple processing steps. The one or more commands may direct the one or more cluster server nodes to update a checkpoint table as each processing step is completed, and may further direct the one or more cluster server nodes to replicate processing results data to at least one other data center. Subsequently, the computing platform may send the generated commands to the cluster server nodes.

Optimizing data processing across server clusters and data centers using checkpoint-based data replication

Methods and systems for evaluating customer security preferences are presented. In some embodiments, a computer system may receive, from a customer portal computing platform, a request for a security dashboard user interface for a customer. In response to receiving the request for the security dashboard user interface, the computer system may request, from a security score computing platform, a security score for the customer. Subsequently, the computer system may receive, from the security score computing platform, the security score for the customer. The computer system then may generate, based on the security score for the customer, the security dashboard user interface for the customer. Thereafter, the computer system may provide, to the customer portal computing platform, the generated security dashboard user interface for the customer.

Evaluating customer security preferences

Methods and systems for evaluating customer security preferences are presented. In some embodiments, a computer system may receive, from a security dashboard computing platform, a request for a security score associated with a customer. In response to receiving the request for the security score associated with the customer, the computer system may request, from a customer portal computing platform, one or more security preferences associated with the customer. Subsequently, the computer system may receive, from the customer portal computing platform, the one or more security preferences associated with the customer. The computer system then may determine, based on at least one security score definition file and based on the one or more security preferences associated with the customer, a security score for the customer. Thereafter, the computer system may provide, to the security dashboard computing platform, the determined security score for the customer.

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Bellevue, WA, United States of America

Tao Huang