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    ALPR & Public-Records Redaction: Policy, CJIS, and Audit in Practice

    A field guide to shipping ALPR and video/audio redaction that stands up to PRA/FOIA and CJIS-style audits—without blocking operations.

    12 min readJanuary 15, 2025Sarah Chen, Solutions Architect, Public Sector
    Evidence management system showing redacted video footage

    Why governance matters (and how it fails in practice)

    Public-records laws and CJIS audits demand chain-of-custody, retention policies, and access controls. Yet most agencies still manage redaction through manual processes that can't scale and leave audit gaps. This guide shows you how to build a system that passes audit while supporting daily operations.

    The gap between policy and practice

    Policy documents specify retention periods, access levels, and redaction requirements. But without automated enforcement, these become wishful thinking. Officers and staff spend hours manually redacting footage, creating inconsistency and delays that undermine both compliance and operational efficiency.

    Data model & chain-of-custody that auditors accept

    Every piece of evidence needs:

  1. Unique identifier with timestamps
  2. Capture metadata (device, location, officer)
  3. Access log (who viewed/edited when)
  4. Redaction audit trail (what was redacted, by whom, why)
  5. Retention classification and expiration date
  6. Our VISTA platform enforces this automatically—every action is logged, every access is tracked, and every change is auditable.

    Evidence lifecycle tracking

    From capture through retention to destruction, maintain unbroken chain-of-custody:

    1. Initial capture (CAD event linkage)

    2. Intake and classification

    3. Review and redaction workflow

    4. Publication or response to request

    5. Retention enforcement

    6. Secure destruction

    Retention, access logging, and reviewer roles

    Define roles with least-privilege access:

  7. Intake: Upload and classify only
  8. Reviewer: View and apply redactions
  9. Supervisor: Approve release packages
  10. Auditor: Read-only access to logs
  11. Admin: System configuration
  12. Set retention rules by evidence type, automatically flagging items for review or destruction when retention periods expire.

    Access logging requirements

    Track every interaction:

  13. Login/logout events
  14. Evidence views (full timestamp, user ID)
  15. Redaction actions (before/after states)
  16. Export and download events
  17. Configuration changes
  18. Export logs in standard formats (JSON, CSV) for external audit systems.

    Bulk redaction at scale (faces/plates/objects/audio)

    Manual redaction doesn't scale. VISTA processes:

  19. Face detection and tracking across frames
  20. License plate recognition and masking
  21. Custom object detection (badges, documents)
  22. Audio redaction (voices, sensitive content)
  23. Batch jobs handle hundreds of hours of footage overnight. Reviewers validate results, adjusting thresholds and manually correcting edge cases through an efficient review UI.

    Accuracy gates and human review

    Set confidence thresholds per redaction type. Low-confidence detections route to human review. High-confidence detections apply automatically but remain auditable. This balance enables scale while maintaining quality.

    Integration patterns (CAD/RMS, VMS, SSO)

    VISTA integrates with existing systems:

  24. CAD/RMS: Automatic event linkage, case numbers
  25. VMS: Direct ingest from body-worn and fixed cameras
  26. SSO: SAML/OAuth for Active Directory/Okta
  27. Storage: On-prem or hybrid with encrypted cloud backup
  28. APIs enable custom workflows and third-party tool integration.

    Deployment options

    Run fully on-premises for air-gapped environments or use hybrid cloud for scalability. All data stays within your infrastructure boundaries. Encryption in transit (TLS 1.3) and at rest (AES-256).

    Acceptance criteria you can measure before go-live

    Before production deployment, validate:

  29. Redaction accuracy: ≥98% precision on test footage
  30. Throughput: Process 100 hours of footage per day
  31. Latency: PRA response packages ready within 48 hours
  32. Audit trail completeness: 100% of actions logged
  33. Access control: Role-based permissions enforced
  34. Retention: Automated flagging and destruction workflows
  35. Run pilot with real cases, measure against these benchmarks, and iterate before full rollout.

    Frequently asked questions

    Ready to get started?

    Let's discuss how these patterns apply to your deployment.