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Anomaly Detection

Built-in AI anomaly detection for real-time visibility into platform usage and risk. 

The Challenge

Traditional monitoring tools generate endless alerts with little context, overwhelming security and operations teams.

As AI usage grows, abnormal behavior, misuse, and security risks often go unnoticed. Traditional monitoring tools lack the context to detect risky activity within AI platforms and to respond in real time.

The Pragatix Solution

Pragatix Anomaly Detection analyses logs and user behaviour across systems, identifies meaningful anomalies, and generates AI-driven resolution reports.

Built-in, AI-powered anomaly detection that continuously monitors platform usage to identify abnormal behavior, security risks, and operational issues. It can also be configured to analyse connected logs when broader visibility is required.

Two Options for Anomaly Detection

Platform-Level Protection

  • Detects abnormal usage and suspicious activity within Pragatix.
  • Supports security, compliance, and operational monitoring.

Configurable Log Anomaly Detection

  • Applies to any connected log source.
  • Fully configurable for broader security and operational use cases.

Key Benefits

Business Benefits

Early threat detection

Faster incident response

Reduced alert fatigue

Improved operational visibility

Typical Use Cases

Detecting abnormal or suspicious AI usage patterns.

Monitoring platform misuse or policy violations.

Identifying operational anomalies impacting performance.

Analysing external security, infrastructure, or application logs.

Supporting compliance investigations and audits.

Frequently Asked Questions

Any system that produces logs, including security, infrastructure, and application platforms. 

No, it complements existing tools by adding AI-driven analysis and resolution insights. 

Yes, thresholds and parameters can be tailored to your environment. 

Request a demo or speak to our security experts.