Overview

Deep 360 Monitoring™ is designed for autonomous business monitoring at enterprise scale. It leverages advanced AI and ML to learn the behavior of every metric in high definition, map correlations among them, and detect anomalies with speed and precision — eliminating blind spots and dark data in your organization’s analytics. It ingests data from diverse sources (storage, APIs, CRM, streams) and ensures full visibility and context for fast, accurate alerting.

Features and Capabilities

• Autonomous AI‑powered detection: Learns unique metric behaviors using models like Holt‑Winters, ARIMA, and a patented Vivaldi Method to automatically establish baselines and detect deviations on the fly.
• Comprehensive data coverage: Aggregates data from storage systems, databases, analytics tools, monitoring platforms, APIs, SDKs, CRM, and real‑time streams — providing full-spectrum visibility over all business metrics.
• Advanced metric correlation: Uses patented behavioral topology learning techniques—including abnormal correlation, naming correlation, graph correlation, and implicit analytics topology—to understand metrics in context and at scale without extra compute costs.
• Intelligent alert scoring & noise reduction: Employs Bayesian anomaly scoring that accounts for deviation magnitude, duration, frequency, and related metric conditions; minimizes false positives and prioritizes high-impact alerts.
• Real-time actionable insights: Alerts are delivered promptly with context-rich information, enabling quick response to incidents before they impact revenue or customer experience.