SYSTEMS AND METHODS FOR DATA-DRIVEN INFRASTRUCTURE CONTROLS

Systems and methods for data-driven infrastructure controls are disclosed. According to one embodiment, in an information processing apparatus comprising at least one computer processor, a computer-implemented method for automatically detecting anomalous user behavior within a unified entitlement framework may include: (1) receiving an access request for a technology asset from a user on a computing device, the access request comprising session data comprising one or more of user identification, user location, key strokes, and user computing device identification; (2) applying an entitlement-specific machine learning algorithm to the session data to generate an anomaly score; (3) storing the session data and associated anomaly score; (4) sending a review request to a manager; (5) receiving review results from the manager; and (6) updating the entitlement-specific machine learning algorithm based on the anomaly score and the review results from the manager.