Microsoft Security Incident Prediction Datasets
- Mar 29
- 2 min read
Kaggle offers a Microsoft Security Incident Prediction dataset that helps comprehend an extensive collection of data meant to aid in predicting and managing security incidents. A dataset that allows analysis of over 13 million pieces of evidence across 33 entity types for 1.6 million alerts and 1 million annotated incidents.
The objective is to enable model development that is capable of accurately predicting incidents triaged by grades. By categorizing true positives (TP), benign positives (BP), and false positives (FP), models can accurately use the context for effective incident management. Resources within cybersecurity operations can then be allocated to crucial situations.
Evidence records, entity types, and annotated incidents are key components. Foundational data points for analysis exist within the details of logs and alerts. Categorized entities that are involved may vary, but the contextual understanding and grouping of each event aids in monitoring security incidents effectively. Taking it a step further and providing labeled incidents for annotations to provide single truths helps train accurate models.
Applications are used by data scientists and cybersecurity professionals to develop predictive models, perform exploratory data analysis (EDA), and benchmark different security solutions for effectiveness. Creating a forecasting algorithm to predict an incident being a TP, BP, or FP improves incident response strategies. Insights into patterns that inform and proactively defend against trending alerts and security incidents provide an accurate measurement. Testing security protocols and tools against real-world data can benchmark response times and gauge the effectiveness of the incident response tactics.
Datasets like these, leveraged appropriately within an organization, can increase the way they are postured by improving the predictability of cybersecurity incidents and their ability to manage them.
Freitas, S., Zhabskyi, R., and C. V. (2024 Jul 11). Microsoft Security Incident Prediction. Kaggle.com. retrieved 2025 Mar 13 from




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