AI-Powered Security

SupInsight: Your Security AI Co-Pilot

SupInsight strengthens your data protection and resilience strategy with AI-powered anomaly detection, behavioral baseline modeling, and intelligent audit analytics. Gain full visibility into your backup operations, detect abnormal data activities early, and automate compliance reporting — all through a unified, intelligent security insights engine.

99.9%
Threat Detection
< 30s
Risk Alert Delivery
85%
False Positive Reduction
24/7
AI Monitoring

Intelligent Security Operations Redefined

SupInsight acts as your AI-driven co-pilot for data security and resilience, providing clear visibility into backup activities, data operations, and system behavior. Its behavioral baseline modeling and anomaly detection help surface unusual patterns early, supported by intelligent audit analytics.

SupInsight learns continuously from real operational behavior, adapting to changes across workloads and users. By automating analysis and compliance reporting, it turns complex data-security tasks into a proactive and verifiable process.

AI-based behavioral analysis & anomaly detection
Automated audit insights and compliance reporting
Risk scoring and early-warning analytics for data operations

SupInsight Dashboard

SupInsight Dashboard

Core AI Security Features

Advanced artificial intelligence capabilities that transform your security operations with intelligent automation and predictive insights.

AI-Based Behavioral Analysis

SupInsight learns normal patterns across backup activities, data operations, and system behavior, enabling early detection of unusual or high-risk actions.

Anomaly & Risk Detection

AI models identify abnormal trends — such as irregular backup changes, unusual data access, or suspicious activity spikes — providing clear warnings before issues escalate.

Intelligent Audit & Compliance Insights

Automated analysis of backup logs, recovery workflows, and system events helps generate accurate compliance reports and strengthens audit readiness.

Continuous Learning Platform

Adaptive AI algorithms refine risk models over time, evolving with real operational behavior to maintain accurate, up-to-date insights.

Technical Architecture

Enterprise-grade architecture designed for scalability, performance, and seamless integration with your existing security infrastructure.

Data Ingestion Layer

  • Multi-source collection of backup logs, job data, and system behaviors
  • Real-time monitoring of data operations and anomaly signals
  • Unified modeling and normalization of security-relevant data

AI Insight Layer

  • Behavioral baseline modeling and anomaly identification
  • Data-operation risk scoring and trend analysis
  • Automated audit and compliance insight generation

Integration Layer

  • Native integration with SupVault, SupDRC, and SupMirror
  • API-based connectivity for compliance, reporting, and monitoring systems
  • Optional export to SIEM, observability, or analytics platforms

AI Security Performance Metrics

Real-time indicators that highlight SupInsight’s strength in behavioral analytics, anomaly detection, and automated audit intelligence.

Behavioral Insight Accuracy

Behavioral Modeling Performance

SupInsight’s AI models learn normal operational patterns across backup tasks, data-access activity, and system behavior to deliver highly accurate detection of anomalies and early signs of risk.

Anomaly Detection Accuracy 99.1%
False Positive Rate 0.12%
Training Data Volume 18 TB+

Analysis & Response Efficiency

Real-time Processing Metrics

SupInsight analyzes backup logs, data-operation signals, and behavioral events in real time, enabling fast identification of irregular activity and rapid escalation for review.

Analysis Latency < 20ms
Alert Delivery Time < 2s
Data Processing Capacity 1.2TB/min

Risk Scoring Intelligence

Advanced Analytics Layer

SupInsight’s analytics engine evaluates trends in data operations, access behavior, and backup integrity to generate precise risk scores and surface potential issues ahead of time.

Risk Scoring Accuracy 95.4%
Trend Forecast Window 14 days
Score Consistency 96.0%