Faro
Advanced Threat Detection and Analysis for DAM
Product Features:
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Threat Detection: Utilizes data collected from Guardium GDP and other sources to identify security threats, with a focus on detecting unauthorized or excessive data extractions. -
Data Enrichment: Enhances raw DAM logs with metadata to provide additional context, aiding in the analysis and detection process. -
ElasticSearch Integration: Stores enriched data in ElasticSearch using a standardized NoSQL format, ensuring scalability and ease of data handling. -
Exploratory Data Analysis with Kibana: Leverages the enriched DAM data within Kibana to perform exploratory analysis, uncovering vulnerabilities within the DAM environment and facilitating the development of targeted security measures. -
Predictive Analytics Module: Employs advanced time series analytics algorithms, such as LSTM, Holt-Winters, and XGBoost, to forecast potential sensitive data extractions, bolstering preemptive security actions. -
Real-Time Anomaly Detection: Compares predicted data extraction patterns against real-time activities to swiftly identify and respond to anomalies, potentially indicating data breaches or leaks. -
Python-based Architecture: Built on Python, Faro benefits from a wide array of data science libraries for robust analytics and machine learning capabilities. -
Graph Database Utilization (Upcoming): Plans to incorporate graph database technology to reveal intricate, otherwise hidden, patterns of connectivity that may signal malicious activities.
Faro is crafted for organizations seeking a comprehensive solution for enhancing their DAM security framework with enriched data analysis, predictive insights, and real-time threat detection capabilities.