Platform feature

AI Evidence Collection

Automated, scheduled evidence pulls from your stack — classified, hashed, timestamped, and attached to the right §164 control.

Administrative safeguards Physical safeguards Technical safeguards Privacy rule Breach notification

Most HIPAA evidence lives in systems the compliance team does not log into daily. AI Evidence Collection pulls it on a schedule — classified, hashed, timestamped, and attached to the right control — so the Evidence Package is current without a quarterly scramble.

What it does

  • Pulls artefacts from cloud, identity, HRIS, MDM, and ticket systems on a schedule.
  • Classifies pulled files by the control they support and the §164 citation they map to.
  • Hashes and timestamps each artefact so provenance survives an audit.
  • Alerts on sources that have gone quiet (integration broken) rather than silently missing evidence.

How it maps to HIPAA

The feature supports §164.316(b) (documentation retention), the evidence side of every §164 control, and §164.308(a)(1)(ii)(D) (information system activity review) when log evidence is part of the pull.

Where it fits

AI Evidence Collection is an AI module capability feeding Evidence Management. The sharable artefact is the Evidence Package report.

Questions

Which systems are supported?

The common HIPAA footprint: AWS, Azure, GCP, Microsoft 365, Google Workspace, Okta, Entra ID, Jira, GitHub, major HRIS, major MDM, and the standard EHR / claims systems. Full list in the integration catalogue.

What if a system is not integrated?

Manual upload stays supported with the same hashing, timestamping, and control-mapping. Integration coverage is the convenience; the compliance record is the point.

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