Explore how modern anomaly detection helps organizations spot unusual AI behavior, prevent misuse, and turn raw logs into meaningful security insight. 

Stop Chasing Alerts. Start Catching Real Threats. 

Traditional security tools flag everything. Your team drowns in alerts while real threats slip through unnoticed. 

Pragatix takes a different approach. Our AI learns what normal looks like in your environment, then alerts you only when behavior genuinely deviates. The result: 85% faster threat detection with 70% fewer false positives. 

See It In Action

How It Works 

1. We Learn Your Normal 
Pragatix establishes behavioral baselines for every user, system, and application in your environment. 

2. We Spot Deviations 
Machine learning continuously compares new activity against baselines, surfacing genuine anomalies. 

3. You Get Context, Not Just Alerts 
Every detection includes what happened, why it matters, and what to do next—no investigation needed. 

What We Detect 

Inside Your AI Platform 

• User suddenly submits 10x their normal query volume 

• Repeated attempts to access restricted information 

• Questions consistently outside expected scope 

• Unusual access times or locations 

• Pattern changes suggesting compromised credentials 

Across Your Entire Stack 

Connect any log source: 

• Cloud infrastructure (AWS, Azure, GCP) 

• Applications and APIs 

• Network and firewall activity 

• Databases and data warehouses 

• Identity systems and SaaS tools 

You define what matters. We monitor everything. 

Traditional Tools vs. Pragatix 

Traditional Monitoring	Pragatix
Fixed rules that need constant updates	Learns and adapts automatically
Alert overload	Only flags real deviations
“Something triggered rule X”	“Here’s what happened and why it matters”
Hours of manual investigation	Instant, actionable reports
Expensive at scale	Smart sampling reduces costs 70%

What You Get With Every Alert 

Not This: “Anomaly detected in user activity” 

But This: 

• Visual timeline showing exactly what changed 

• Specific examples of unusual behavior 

• Clear explanation of why it’s abnormal 

• Severity score based on potential impact 

• Step-by-step investigation guide 

• Recommended remediation actions 

Investigation time drops from hours to minutes. 

Anomaly detection isn’t limited to the platform itself. Pragatix can connect to any external log source, fully configurable to detect security or operational anomalies across your systems. Organizations can define parameters such as usage frequency, access patterns, or timing, and the engine continuously evaluates what is normal versus what is not. 

When an anomaly is detected, the output is more than a notification. AI-generated resolution reports include: 

• Examples of anomalous records 

• Context explaining why the activity is unusual 

• Investigation and remediation guidance 

• Visual timelines and trend analysis 

This transforms raw data into actionable insights for faster investigation and response. 

Within the AI platform itself, user behavior can be monitored for deviations that suggest misuse or risk. For example: 

• A user suddenly submitting far more queries than they normally do 

• Patterns that indicate probing for restricted or sensitive information 

• Repeated questions that fall outside the expected scope of access 

These behaviors do not automatically mean malicious intent. But they do indicate a change worth understanding. 

In a world where AI is increasingly used by internal teams, contractors, and partners, this level of visibility becomes critical. 

As AI adoption accelerates, risk no longer comes only from outside the organization. It often emerges from inside, through misuse, misunderstanding, or simple curiosity. Anomaly detection provides a way to surface these risks early, without interrupting legitimate work. It supports security, compliance, and governance teams by offering clarity rather than noise. 

The biggest threats aren’t hackers breaking in, they’re people already inside: 

• Employees misusing AI unintentionally 

• Contractors with excessive access 

• Compromised credentials used subtly 

• Curious users testing boundaries 

Traditional perimeter security doesn’t catch this. Anomaly detection does. 

Key Capabilities

• Built-in detection of abnormal platform usage and behavior
• Continuous monitoring for security, compliance, and operational anomalies
• Optional connection to external logs from any system
• Configurable anomaly thresholds and parameters
• AI-generated investigation, resolution, and remediation insights
• Visual timelines and anomaly trend analysis

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Business Benefits

• Early detection of security threats and misuse
• Faster investigation and response
• Improved visibility across systems
• Actionable insights instead of raw alerts

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Typical Use Cases

• Security monitoring and threat detection
• User behavior anomaly identification
• System performance monitoring
• Compliance and audit support
• Detecting abnormal AI usage patterns
• Monitoring platform misuse or policy violations
• Analysing external security, infrastructure, or application logs

Get Started in 3 Steps 

Week 1: Quick assessment of your environment and priorities 

Weeks 2-3: Connect to your AI platform and key log sources 

Week 4+: Live monitoring with AI-generated insights 

No rip-and-replace. No disruption to existing workflows. 

Schedule 15-Minute Demo

The most dangerous AI risks rarely announce themselves clearly. They hide in subtle changes in behavior.Anomaly detection gives organizations the ability to notice when something feels off, understand why, and respond before small issues become serious problems. 

See how anomaly detection helps teams identify unusual AI behavior, reduce internal risk, and turn log data into actionable security insight. 

Does this replace my security team? 
No. It makes them dramatically more effective by eliminating grunt work and highlighting what actually needs attention. 

How long to see results? 
Most organizations detect actionable threats within 2-3 weeks. Full deployment takes 30 days. 

What about false positives? 
Adaptive learning reduces false alerts by 70% versus rule-based tools. You see less noise, not more. 

Is this just for large enterprises? 
No. If you’re using AI with contractors, partners, or distributed teams, you need this visibility regardless of company size. 

Will this slow down legitimate work? 
Zero impact. We monitor passively and only alert on genuine deviations—legitimate work continues uninterrupted. 

Does it work with our existing tools? 
Yes. Pragatix integrates with SIEMs, ticketing systems, and most security infrastructure. Many clients use us alongside existing tools. 

Research on Adaptive Anomaly Detection | AI Security Best Practices |Customer Case Studies 

Pragatix • Enterprise AI Security & Governance 
Book a Meeting • security@agatsoftware.com