About Welcome to the VAST! If you have any questions, do not hesitate to join our
community chat or open a GitHub
discussion .
What is VAST? VAST is the open-source pipeline and storage engine for security event data.
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Storage Pipelines Pipelines
VAST offers dataflow pipelines for data acquisition, reshaping, routing, and
integration of security tools. Pipelines transport richly typed data frames to
enable efficient analytical high-bandwidth streaming workloads. VAST's open
storage engine uses the same dataflow language to deliver a unified
abstraction for batch and stream processing to drive a wide variety of security
use cases.
A VAST node provides managed pipelines and storage as a continuously running
service. You can run pipelines across multiple nodes to create a distributed
security data architecture.
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 Node Tenzir Node
Consider VAST if you want to:
Filter, shape, aggregate, and enrich security events before they hit your SIEM
or data lake Normalize, enrich, and deduplicate events prior to passing them downstream Store, compact, and search event data in an open storage format
(Apache Parquet &
Feather ) Perform high-bandwidth analytics with any data tool powered by
Apache Arrow Operationalize threat intelligence for live and retrospective detection Build your own security data lake or federated XDR architecture If you're unsure whether VAST is the right tool for your use case, keep reading.
What's Next? The structure of the documentation follows the user journey:
Try : tells you how to quickly get your hands on VAST to
give it a shot.
👉 Begin here if you want to test-drive VAST. Setup : describes how you can download, install, and
configure VAST in a variety of environments.
👉 Start here if you want to deploy VAST. Use : explains how to work with VAST, e.g., ingesting
data, running queries, matching threat intelligence, or integrating it with
other security tools.
👉 Go here if you have a running VAST, and want to explore what you can do
with it. Understand : describes the system design and
architecture, e.g., the pipeline language, the data model, and the
implementation in terms actor model for concurrency and distribution.
👉 Read here if you want to know why VAST is built the way it is. Contribute : lays out our contribution guidelines
and explains how to contribute to the code base, either in terms of
documentation or source code.
👉 Read this if you want to become a contributor. Develop : provides developer-oriented resources to
work on VAST, e.g., write own plugins or enhance the source code.
👉 Look here if you are ready to get your hands dirty and write code.