GHOSTFRAME
Integrated evidence pilot

Security evidence across the AI operating lifecycle

Control the action.
Verify the claim.
Recover from contamination.

GhostFrame builds evidence-driven security systems for decisions that cannot rely on assumptions.

GhostGate Before operation Proofline During an incident Recall After contamination
GhostFrame / Commercial01
GHOSTFRAME
The evidence gap

01 / Problem

Security teams inherit claims.
They still have to make the decision.

AI systems accumulate authority, generate confident narratives, and reuse knowledge that can be wrong. Conventional controls rarely connect these risks into one evidence path.

The missing layer is not more confidence. It is reviewable evidence at the moment a consequential decision must be made.

  1. BEFOREShould this exact agent be trusted with access?
  2. DURINGWhat was actually demonstrated during the incident?
  3. AFTERWhere did contaminated knowledge influence behavior?
One integrated pilot ControlVerifyInvestigate & repair Each stage produces evidence for human review.
Integrated Pilot / Problem02
GHOSTFRAME
Before operation

02 / Control

GhostGate

Qualify the agent before trust becomes access.

A release decision bound to the system that was actually reviewed.

GhostGate evaluates an exact agent version against bounded behaviors, permissions, policy, and release conditions before higher-impact access is granted.

Decision boundaryHuman reviewers retain release authority.

Pilot evidence

  1. 01
    Register

    Bind the exercise to an exact version and defined authority.

  2. 02
    Qualify

    Observe behavior against scenarios, policy, and conditions.

  3. 03
    Decide

    Deliver a reviewable record for approve, condition, or reject.

Version-bound scopeControlled behaviorsExplicit release conditionsEvidence package
GhostGate / Controlled qualification03
GHOSTFRAME
During an incident

03 / Verify

Proofline

Know what they proved.
Not what they claimed.

Claim / 14:32“The issue is fully contained.”Assertion received
Evidence review2 systems confirmed.
1 dependency unresolved.Decision state: containment not yet established

Move from narrative to an evidence-backed incident record.

Proofline connects material claims to artifacts, tests, provenance, gaps, conflicts, and the reviewer responsible for the next decision.

  • 01Claim-to-evidence traceability
  • 02Unsupported assumptions surfaced
  • 03Decision-ready record
Proofline / Incident evidence04
GHOSTFRAME
After contamination / Research preview

04 / Investigate

Recall

What did corrupted AI knowledge affect,
and can we repair it?

01Contaminated sourceKnown test artifact
trace
02Retrieved knowledgeObserved influence
review
03Downstream behaviorCandidate impact

Controlled pilot capability

Trace influence. Test repair hypotheses. Keep the reviewer in control.

Recall explores how known contaminated knowledge may propagate into retrieval, decisions, and behavior—then evaluates candidate repair paths inside a bounded exercise.

  • Influence paths are hypotheses to validate.
  • Repairs are proposed and tested under human control.
  • No autonomous production remediation.
Recall / Research preview05
GHOSTFRAME
Commercial pilot

05 / Start with a bounded decision

Three evidence moments.
One 8–10 week pilot.

Engagement

  1. 01
    Scope

    Systems, claims, knowledge sources, and success criteria.

  2. 02
    Controlled exercises

    Qualification, incident, and contamination scenarios.

  3. 03
    Evidence handoff

    Findings, limitations, artifacts, and recommended next decisions.

Commercial

Standard Integrated Pilot$72,500
Founding Design PartnerLimited, fit-dependent participation$50,000
40% signing40% post-exercises20% delivery
Next stepRequest a scoped fit assessment
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