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Seculyze 4.0.3 Release Notes

Microsoft Security for AI alerts, a new Quality Score, faster performance, and targeted fixes in Seculyze 4.0.3.

Overview

Seculyze 4.0.3 adds support for Microsoft Security for AI alerts and AI-agent entities, so your team can work AI-related detections in the same place as the rest of your Sentinel alerts. A new Quality Score gives you a clearer read on the state of your setup, and Data Collection views now load faster.
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Detailed Description

This release has three goals: broader alert coverage, better performance, and more accurate data. Seculyze now recognizes the Microsoft Security for AI alert type and AI-agent entities, which keeps pace with how organizations are adopting AI workloads in Microsoft environments.

Data Collection performance has been improved, so you spend less time waiting and more time acting. Under the hood, we’ve improved platform stability. Several fixes make tables, filters, and cost estimates in Cost and Calibrate behave as expected.

Release Highlights

🤖 Microsoft Security for AI Support: Added the Microsoft Security for AI alert type and AI-agent entity
⭐ Quality Score: Introduced a new Quality Score
⚡ Faster Performance: Data Collection views now load faster

Changes

📊Changes

🏗️ Added Functionality

  • Added support for the Microsoft Security for AI alert type.

  • Added the AI-agent entity type to alerts and incidents.

  • Introduced a new Quality Score.

  • Added a tooltip to the 30-Day Est. Spend card on the Data Collection page, clarifying that the total includes all billable log sources, including those not listed.

  • Delivered extensive internal improvements to our ML models, performance, and infrastructure.

  • Added a tooltip to the 30-Day Est Spend card on the Data Collection page, clarifying that the total includes all billable log sources, including those not listed.

📊 Improved Features

  • Improved Data Collection performance.

  • Delivered extensive internal improvements to our ML models, performance, and infrastructure.

  • Improved how ML results are presented in the interface.

  • The custom date range picker now requires both a start and end date.

  • The custom date range picker now displays the selected range.

  • Page state is now kept in the URL, so views can be bookmarked and shared.

  • Updated the Monthly Report title and logo.

  • Tuned service resource allocation based on production usage.

🛠️ Bug Fixes

  • Fixed pagination in the “Needs Attention” tables for Alert Rules.

  • Fixed pagination in the Log Sources table.

  • Fixed filters for Ingestion Anomalies.

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