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TriStruct Inc. — Data Proof Infrastructure

Proving what data was generated, by whom, and when —
fixing evidence at the moment data is confirmed. A Data Proof Infrastructure.

Discrepancies between system data and proof data reveal tampering —
and serve as the authoritative recovery source in the event of a breach.

Live Demo
IEA Monitor

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SYSTEM LAYER
1
Select record type
Select the type of sample records to load.
Attendance
Medical
Finance
Mfg
Logistics
2
Record to IEA
Confirms records and simultaneously generates proof in IEA.
3
Verify — confirm all VALID
Runs verification between system records and IEA proof.
4
Introduce a tamper
Tampers with a system record. IEA is not notified.
5
Re-verify — detect tampering
Re-runs verification to detect the tampering.
IEA Verification Result
Awaiting
Press 'Record to IEA' on the left
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IEA Chain Total
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Matched
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Mismatched
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Unauthorized
CONFIRMED RECORDS
①
Select a record type
Choose a type tab on the left to load records
IEA VERIFICATION
Press 'Record to IEA' on the left
Verification Detail — System vs IEA Original
☰ After verification, select a record above to compare with IEA original
JP 2026-8383 / Early Examination Requested  |  EMIT JP 2026-74198 TriStruct Inc.
Value proposition
Who benefits and how
Effects common to all domains Internal fraud prevention Operations cannot be erased Immutable evidence fixation Who did what is fixed Unauthorized step detection No proof = anomaly Clear accountability Litigation deterrence Applicable domains Manufacturing Legal Finance Government Healthcare Insurance Education / others Key benefits by domain SaaS providers Prove the facts of an incident Reduce cost of explaining liability Backup / storage vendors Recovery without inference — fast, clear decisions Structural basis for where to restore Highly regulated sectors Reduce risk of losing data evidence on breach Eliminate tampering doubt in legal / audit Evidence is always preserved — no ambiguity from missing logs. Proving facts as facts — and proving tampering by the absence of proof.
Why logs alone are not enough
The problem with log-based verification
Logs are event history — they do not guarantee the original. Proof is not born from logs — even when intact, log-based validity still depends on interpretation. Chain-based: Sequential proof 2020.03 ver.1 2021.02 ver.2 2022.06 ver.3 2023.11 ver.4 2024.08 Latest Log L1 L2 L3 Missing L4 Unverifiable L5 Inferred Trust anchor lost Basis of validity lost With L3 missing, Ver.3 loses its basis for validity. And through chain dependency, all subsequent originals become subject to doubt.
File lifecycle and IEA evidence fixation
Every update creates a new independently fixed original
Time → File A Confirm View File A' Confirm File A Fixed at creation Originality preserved (authenticity maintained) View Copy Print File A'' Confirm File A' Fixed as new original Originality preserved (authenticity maintained) and so on... File A'' Fixed as new original Originality preserved (authenticity maintained) Event history (no effect on originality) When the essence of a file original changes, it is fixed anew as a new original. By holding authenticity, the original becomes a clear and reliable recovery source.
Architecture
Architecture 01
EMIT
Evidence Moment Integrity Trace · JP 2026-74198
System Data
DATA
→
IEA Proof
PROOF
Architecture 02
IEA
Immutable Evidence Architecture · JP 2026-8383
System
▶
🔒
IMMUTABLE
Next Data Proof Infrastructure
EMIT
Evidence Moment Integrity Trace · JP 2026-74198
Architecture where proof is generated together with storage. Demo coming soon.
COMING SOON
Contact
Next Step
1
NDA
2
Reference Implementation
3
License

partner@tristruct.co.jp