Predictive Intelligence for User Reported Phishing
Increase security analyst productivity and reduce user reported phishing incidents resolution time with machine learning.
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View Install Data
| Date | Install Count | Change |
|---|---|---|
| 2026-09-09 | 0 | - |
| 134 days of no change | ||
| 2026-04-27 | 14 | -14 |
| 543 days of no change | ||
| 2024-10-30 | 13 | +1 |
About
This Predictive Intelligence application enables increased productivity for security analysts and reduced resolution time of phishing attacks with machine learning that automatically categorizes user-reported phishing incidents.
Machine learning models trained on your organization's historical user-reported phishing reports are used to predict new submissions. Analysts are presented with the results and a confidence score to enable quicker decision-making. Workflows on prediction results and confidence scores can automatically disposition security incidents reducing the triage burden on incident response teams.
Key Features
The supported capabilities include :
1. Machine learning model trained on the organization's user-reported phishing incidents for higher prediction accuracy.
2. Import of training data from custom sources (custom tables) or import through a CSV file for faster time to value.
3. Machine learning prediction results (Legitimate or Suspicious) on security incidents in real-time with confidence scores for the analyst to review and act.