data-ingest

To maintain chain-of-custody during data ingest, this pipeline hashes source files using SHA-256 and generates a hash manifest, ensuring all raw investigation data remains auditable and reproducible from ingest to curation.

Automating cross-source data normalization and deduplication for an audit requires orchestrating specialized cleaning and transforming agents, which this pipeline uses to process multi-source data into structured, reproducible outputs.

Yes, you can verify data integrity using SHA-256 hash manifests generated by the pipeline, which secure raw investigation files and enforce reproducibility throughout the data curation process.

Building a reproducible pipeline from raw audit data to curated evidence involves orchestrating eight subagents for ingest, hashing, cleaning, transforming, analyzing, assessing, and curating, outputting structured results.

No, the data ingest pipeline requires no external dependencies to run, operating autonomously to coordinate evidence ingestion and produce audit-ready results under the scripts/audit_results/ directory.

You should not use an automated data ingestion pipeline when your investigation data requires manual, case-specific forensic handling that cannot be standardized through reproducible hashing, cleaning, and cross-source normalization processes.