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OpsNow FinOps Plus provides two methods for detecting abnormal cloud spend through the Cost Anomalies feature:
User-defined rule detection (User Rule) and AI-based automatic detection (AI Rule).

✅ User Rule (Manual Detection)

This method allows users to manually define detection criteria to identify unusual spending.
You can configure:

• Comparison period (e.g., last 3 days vs previous 3 days)
• Threshold type: percentage (%) or amount-based
• Analysis scope: by Account, Product, or Region

📌 Example: "Trigger an anomaly when the current 3-day spend exceeds the previous 3-day average by more than 20%."

This rule is ideal when you want precise control over what defines an anomaly in your cloud usage.

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🤖 AI Rule (Automatic Detection)

The AI-based detection engine analyzes your past 14 days of cloud spend to forecast expected costs,
and automatically detects anomalies by comparing them with actual usage.

• No configuration required — the system auto-learns your spending pattern
• Sensitivity options: High / Middle / Low to control how strict the detection is
• Requires 7 days of historical data to activate
• Analysis runs daily in the background

This approach helps capture sudden cost spikes or drops that may not be obvious using static rules.

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💡 Combine Both for Better Coverage

User Rule and AI Rule can be used together to build a more comprehensive anomaly detection strategy:

• Use AI Rule for automated, pattern-based monitoring
• Use User Rule to define exceptions and mission-critical cost triggers

📌 Cost Anomalies supports all major cloud platforms — AWS, Azure, and GCP — with consistent functionality and detection accuracy.

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