Solution

Quantiphi developed a unified and scalable data platform that serves as a single source of truth through data processing in near real-time. The solution was further equipped with an alerting and monitoring mechanism to proliferate analytical capabilities and enable the orchestration of workflows along with automating code integration and deployment processes.

Quantiphi further implemented rule-based business use cases for identifying malicious user activity or potential insider threats. Quantiphi also developed predictive (ML) models to detect subtle changes and edge cases in systems to address the limitations in threshold-based techniques to identify potential insider threats.

The 360° user view provides visibility of all user activities across the system to predict high severity anomalous behavior and to classify and investigate similar user behavior. Real-time alert mechanisms enable appropriate and timely action to mitigate the identified risks.

Result

Enhanced data quality framework
Highly reliable logging and monitoring capabilities for data ingestion
Improved deployment process automation and alerts
Near real-time data processing aiding threat detection
Unified data platform to activate advanced analytical capabilities
Consolidated view of user activities on a daily basis