Zeek Analysis Tools (ZAT)
ZAT is a Python package that processes and analyzes Zeek network security data using machine learning libraries like Pandas, scikit-learn, Kafka, and Spark.
Zeek Analysis Tools (ZAT)
ZAT is a Python package that processes and analyzes Zeek network security data using machine learning libraries like Pandas, scikit-learn, Kafka, and Spark.
Zeek Analysis Tools (ZAT) Description
Zeek Analysis Tools (ZAT) is a Python package designed for processing and analyzing Zeek network security monitoring data. The tool integrates with popular data science libraries including Pandas, scikit-learn, Kafka, and Spark to enable comprehensive network traffic analysis. ZAT provides multiple installation options through pip, including a basic installation, PySpark integration for distributed processing, and a comprehensive package with additional libraries like PyArrow, YARA-Python, and TLDExtract. The tool supports various data processing workflows from AWS data processing to machine learning modeling. Key features include faster and smaller Pandas DataFrames for handling large log files, improved DataFrame to matrix conversion capabilities, and scalable conversion from Zeek logs to Parquet format. The tool offers enhanced Spark DataFrame functionality and updated analysis notebooks for streamlined workflows. ZAT addresses the challenge of offloading complex analytical tasks from Zeek itself, enabling more efficient processing of high-volume network traffic data. The tool converts Zeek JSON logs to DataFrame format and provides enhanced data analysis capabilities for network security monitoring and threat detection workflows.
Zeek Analysis Tools (ZAT) FAQ
Common questions about Zeek Analysis Tools (ZAT) including features, pricing, alternatives, and user reviews.
Zeek Analysis Tools (ZAT) is ZAT is a Python package that processes and analyzes Zeek network security data using machine learning libraries like Pandas, scikit-learn, Kafka, and Spark.. It is a Security Operations solution designed to help security teams with Python, Data Analysis, Traffic Analysis.
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