Every sensitive AI workflow should come with proof.
DigiTrust helps teams move sensitive AI work from pilot to production with proof-ready Evidence Packets. It gives reviewers a clear record of what happened, what was checked, and why the workflow is ready to move forward.
DigiTrust becomes the proof layer for enterprise AI.
The category-defining future 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.
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.
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?
DigiTrust supports proof-ready workflows powered by Amazon Bedrock and deployed on AWS.
It links approved AI paths, sensitive-data protection, review steps, packet verification, and TrustOps visibility into one repeatable proof workflow.
Show AWS services behind the scenes
From sensitive workflow to verified packet.
DigiTrust turns the path to production into a clear sequence of proof steps.
Start
Pick one sensitive AI workflow and define its purpose.
Check
Confirm the key baseline items before the workflow moves forward.
Protect
Classify and protect sensitive data before model use.
Route
Use an approved AI path, including Amazon Bedrock when selected.
Review
Record human sign-off when the workflow needs it.
Verify
Generate and verify the Evidence Packet for review.
The proof object your team can review and share.
An Evidence Packet is a clean, verifiable record of a sensitive AI workflow. It is designed 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.
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
DigiTrust is ready for design-partner validation.
The platform has moved from concept to an operational proof-ready workflow motion.
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.
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
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.
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. Start with one workflow, generate a verifiable Evidence Packet, and give every reviewer a clear record they can trust.