Bank of America Corporation

Adi Narayana Rao Garaga

Rakesh Kumar Jain

Sunny Bhattacharjee

Syed Luqman Ahmed

Sidhan Ponnanakkal

Sidhan Ponnanakal

Abhay Kumar

A machine learning computing system identifies a vulnerability associated with a server. Based on information associated with the server and a knowledge base, the computing system schedules an interval for patching the server in a centralized tracking module. Based on the knowledge base and the vulnerability, the computing system creates, validates, and deploys the patch job. During patch job execution, the computing system monitors the status of the patch job at the server and transmits status updates to a user interface module. After expiration of the interval, the computing system generates an assessment report for the executed patch job. The computing system updates the knowledge base based on the assessment report to improve future decisioning processes. Based on the success or failure of the patch job, the computing system, upon a failure indication, automatically reschedules an interval for patching the server.

Custom patching automation with machine learning integration

A device is configured to detect a communication error between a first network device and a second network device. The device is further configured to identify a first node in a computer network map corresponding with the first network device and to identify node properties for the first node. Error correction instructions in the node properties for the first node include an address for rerouting data traffic to a third network device. The device is further configured to apply the error correction instructions where applying the error correction instructions suspends data traffic to the second network device and reroutes data traffic to the third network device.

Computer network troubleshooting and diagnostics using metadata

Systems, methods, and computer program products are provided for monitoring network processing using node analysis. The method includes receiving node operation information relating to a node command from one or more nodes. The one or more nodes are grouped into a cluster. The method also includes determining one or more node characteristics based on the node operation information. The method further includes comparing the node characteristic(s) of the node command to expected node characteristic(s). The method still further includes determining a node outage likelihood. The node outage likelihood indicates the likelihood the given node will experience a node outage. The method also includes determining a cluster node operation plan. The cluster node operation plan is configured to determine the nodes of the cluster that must be in operation in an event of the node outage of the given node.

System and method for monitoring network processing optimization

A device is configured to detect a triggering event within a network that is associated with a communication error between a first network device and a second network device. The device is further configured to identify a first node in a computer network map corresponding with the first network device and to identify node properties for the first node. The device is further configured to identify the error correction instructions in the node properties for the first node that include an address for rerouting data traffic to a third network device. The device is further configured to apply the error correction instructions where applying the error correction instructions suspends data traffic to the second network device and reroutes data traffic to the third network device.

A device is configured to obtain network traffic information that is associated with a first network device and to identify a second network device that communicates data with the first network device. The device is further configured to identify device settings for sending data traffic to the second network device and to identify error correction instructions for rerouting data traffic to another network device. The device is further configured to generate node properties for the first network device that include a first network device identifier, a second network device identifier, the device settings for the second network device, and the error correction instructions. The device is further configured to add a first node to a computer network map for the first network device and to associate the node properties with the first node and output the computer network map.

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Hyderabad Telangana, India

Adi Narayana Rao Garaga