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Adobe has released an open source project to detect and classify anomalies in security log data using a tool the company says is simple to run and easily modified.
The One-Stop Anomaly Shop (OSAS) is an open source machine-learning (ML) tool that can add structure to log data by generating labels for different types of data and then use that data as the inputs to classification algorithms. The approach solves several ML problems such as data sparsity and overfitting while giving security analysts a macro view of log data that allows easier analysis, states Adobe s security intelligence team in a technical paper on their approach.