Detect AI Risks Before They Escalate
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.
Core Capabilities
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
What types of systems can be monitored?
Does this replace SIEM tools?
Is anomaly detection configurable?
Secure Your AI Journey
Take control of your AI adoption with Pragatix AI Security Suite.
Protect your organization without compromising innovation.