Verification built around evidence, calibration, and traceability.
Production capabilities are released only when the relevant workflow has reached the required operating standard. Today that is still-image verification, the foundation layer of a six-layer trust architecture.
Illustration only. No real customer data or recorded demo is shown.
Trust architecture
Six layers, explicit status.
The six-layer idea is where we are going. Only Media Integrity is in production; the others are being built or researched.
- L6Context ContinuityWhether the surrounding context is consistent. Metadata is recorded as evidence but does not decide a result.In development
- L5Interaction AuthenticityHow a live conversation unfolds over time. There is no live-call or meeting detection today.In development
- L4Agency & AuthorityWhether behaviour fits a claimed role or authority. Exploratory research only.Research
- L3Identity LinkageComparing a claimed identity with a trusted reference. Today's image check does not establish who anyone is.In development
- L2Entity ContinuityWhether the same subject stays consistent across a sequence. No continuity verdict is released today.In development
- L1Media IntegrityChecks supported still images for face swaps and image manipulation, and for AI generation where no face is found. The only layer in production.Live
Solid = production. Dashed = not yet production. Read bottom-up: Media Integrity is the foundation.
Two signals, one decision framework
Detection plus provenance, calibrated to the decision.
Detection + provenance
Forensic models look for signs of synthetic generation and manipulation in the image itself.
Where Content Credentials are present, the C2PA signature and trust chain are checked alongside. Provenance is extra context, not automatic proof that an image is authentic.
One threshold doesn't fit every decision
Recruitment, media screening, and general content verification carry different consequences, so each use case is calibrated to its own operating point.
A result is released only for use cases that have been calibrated.
Principle
When the evidence isn't strong enough, we say so.
Blackwater Verify does not force a conclusion the evidence does not support. If the operating threshold is not met, the result is inconclusive and the case goes to your team for human review.
The threshold is calibrated per use case, so a hiring review and a media screen do not share one operating point.
Every verification leaves a verifiable record.
- Tamper-evident
- Traceable
- Exportable
Make digital trust verifiable.
See how Blackwater Verify can add calibrated image verification and traceable decision records to your workflow.