Connecting Amazon Security Lake to value (and data)
Seamlessly collect on-prem and data from third-party sources, already enriched, converted to OCSF, and formatted for Amazon Security Data Lake in Parquet
Get started with Amazon Security Lake and DataBahn
Amazon Security Lake helps organizations store and centralize their telemetry, but normalizing, amalgamating, and routing that data takes work. DataBahn automates the data engineering: unifying data into OCSF and storing it in different S3 buckets, enabling replay access and search, and optimizing data volume for in-transit data.
Prebuilt connectors to ingest data from non-AWS sources
Lower log volumes and Amazon S3 storage costs
Reduction in manual effort for parsing and transformation
Build or expand your Amazon Security Lake
Enrichment across domains
Boost data value with seamless data enrichment to data before it gets stored for more effective use
Convert to OCSF + Parquet
Auto-convert logs into the native formats Amazon Security Data Lake expects, no manual mapping
Ingest Third-Party Data
Bring in logs from SaaS, on-prem, and hybrid systems without building custom pipelines
Reduce Log Volumes
Filter noisy data like network flow to cut S3 costs and improve query performance
Handle Schema Drift
Catch format changes early to prevent downstream detection or dashboard failures
Tag Sensitive Fields
Detect and isolate sensitive data during ingestion to support compliance and governance
Your starting point for all things Databahn
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