Bank of America Corporation

Sireesh Kumar Nuthi

Carmen Michael Warn

Praneeth Chandra Bhattaram

Timothy C Metzger

Michael E Kozikowski

Subhan V Dandekar

The disclosure addresses the detection of anomalous activity. Some embodiments are directed towards a system for receiving an indication relating to a plurality of controls, identification information associated with a responsible account, and instructions from a responsible account associated with the monitoring of thresholds of controls being monitored. The plurality of user account may be organized into groups based upon information relating to the user accounts, and instructions may be applied to the groups to create a dynamic security policy.

Anomalous activity detection

Embodiments of the invention provide for a centralized system for database access management. In specific embodiments, the centralized system provides for granting users temporal access to databases for a prescribed period of time, such that upon expiration of the time period the user is automatically blocked (i.e., added back to the blacklist) from accessing the database. Moreover, as a result of centralized management, reporting and auditing of actions related to database access management are greatly improved in that all actions are recorded and a historical database of such actions is available to system users. In addition, the centralized system provides for automatic notification to predetermined stakeholders based on occurrence of predetermined system actions, such as blocking a user from database access, unblocking a user from database access (i.e., granting access) or the like.

Database access unblocker

Methods, computer-readable media, and apparatuses may be configured to detect anomalous activity. Electronic information utilized to detect anomalous activity may be consolidated from multiple data feeds. This electronic information may relate to: extrusion violations, failed logins, sensitive fields access, sensitive objects access, escalation of privileges, or activity during a specific time frame within a time period, and combinations of one or more of these. A de-duplication module may be configured to detect duplicate information or activity events, wherein the duplicate data may be removed and/or consolidated.

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Plainsboro, NJ, United States of America

Sireesh Kumar Nuthi