AI Trust Infrastructure for proof-ready AI

Every sensitive AI workflow should come with proof

DigiTrust helps teams move sensitive AI work from pilot to production with proof-ready Evidence Packets, giving reviewers a clear record of what happened, what was checked, and why the workflow is ready to move forward

See the Evidence Packet Start the QuickStart Request assurance package
Live on AWS Verifier enabled Proof-Ready AI check included Design-partner ready
What this makes possible

DigiTrust becomes the proof layer for enterprise AI

The next step is simple: teams stop asking whether a sensitive AI workflow is ready and start asking for the Evidence Packet

The new default

Every sensitive AI workflow produces a proof object that security, privacy, compliance, audit, customer, and cloud teams can review without chasing screenshots, tickets, logs, and emails

“Where is the Evidence Packet?”

For leaders

Move AI programs forward with clear proof instead of scattered status updates

For reviewers

See the workflow purpose, sensitive-data handling, review status, and verification result in one place

For builders

Connect approved AI paths, workflow checks, and packet generation into repeatable launch motion

For customers

Share a clean evidence record that explains what happened without exposing raw sensitive values

Choose your view

Simple for business teams, detailed for AWS teams

Start with plain-language proof questions, or open the AWS details when your technical team wants to see the services behind the workflow

DigiTrust helps your team answer the questions that delay AI launch

  • What AI work is being reviewed?
  • What sensitive data was involved?
  • Was that data protected before model use?
  • Was the AI path approved for this purpose?
  • Did a person sign off when a person was needed?
  • Can we share a clean Evidence Packet with the right reviewers?
The proof loop

From sensitive workflow to verified packet

DigiTrust turns the path to production into a clear sequence of proof steps

1

Start

Pick one sensitive AI workflow and define its purpose

2

Check

Confirm the key baseline items before the workflow moves forward

3

Protect

Classify and protect sensitive data before model use

4

Route

Use an approved AI path, including Amazon Bedrock when selected

5

Review

Record human sign-off when the workflow needs it

6

Verify

Generate and verify the Evidence Packet for review

Evidence Packet

The proof object your team can review and share

An Evidence Packet is a clean, verifiable record of a sensitive AI workflow for security, compliance, privacy, audit, customer assurance, AI product, and cloud teams

Important packet rule: DigiTrust Evidence Packets are designed to store metadata, hashes, references, classifications, decisions, summaries, and status results instead of raw sensitive values

Produce your first packet

What the packet shows

  • Workflow identity and owner
  • Business purpose
  • Sensitive-data classification
  • Protection steps
  • Approved AI path
  • Review evidence
  • Output summary
  • Baseline check result
  • Proof-Ready AI check result
  • Acceptance result
  • Verification hash
  • Export record
  • Framework evidence mapping
What is included now

DigiTrust is ready for design-partner validation

The platform has moved from concept to an operational proof-ready workflow motion

AI workflow path
Evidence Packet v0.3.1
Proof-Ready AI check
Evidence Packet Acceptance Protocol
Evidence Packet Verifier
Proof rules engine
Customer Assurance Package
Framework Crosswalk Pack
AI threat model and red-team plan
Live Validation Report package
Design Partner Readiness Pack
Evidence Packet QuickStart
QuickStart

Start with one workflow, produce one packet, decide with proof

The Evidence Packet QuickStart helps a design partner validate one sensitive AI workflow in a focused engagement, including workflows powered by Amazon Bedrock

Apply for the QuickStart

QuickStart outcomes

  • Select one workflow and business owner
  • Define the sensitive-data profile
  • Confirm the approved AI path
  • Run the workflow with synthetic or approved test data
  • Generate an Evidence Packet
  • Run packet verification
  • Review results in TrustOps
  • Create one proof asset for internal review
Customer assurance

Review materials for qualified teams

DigiTrust gives security, compliance, privacy, audit, legal, AWS, and customer teams a clean review package

Security overview

Baseline checks, shared responsibility, packet storage, and data-handling summary

Evidence mapping

Framework crosswalk and packet field mapping for customer review

AI safety testing

Threat model summary, red-team plan, and remediation workflow

AWS readiness

FTR and Well-Architected review-readiness materials for next-step preparation

DigiTrans logo
Built by DigiTrans

AI trust infrastructure for proof-ready workflows

DigiTrans builds proof-ready AI workflow solutions for teams that need sensitive AI work to be easier to review, explain, and move forward

Make your first sensitive AI workflow proof-ready

DigiTrust is live on AWS for proof-ready AI workflow validation, helping teams start with one workflow, generate a verifiable Evidence Packet, and give every reviewer a clear record they can trust

See the Evidence PacketApply for the QuickStartRequest assurance package