Every sensitive AI workflow should come with proof.
DigiTrust helps teams move sensitive AI work from pilot to production with proof-ready Evidence Packets.
Choose the view that works for you.
Start with plain-language proof questions, then open the AWS view when your technical team wants the deployment details.
For business, risk, privacy, and audit teams
See the questions DigiTrust helps answer without reading an architecture diagram.
For AWS, platform, security engineering, and AI teams
See how DigiTrust supports proof-ready workflows powered by Amazon Bedrock and deployed on AWS.
DigiTrust helps answer the questions that slow down sensitive AI launches.
- Was this AI workflow approved for its business purpose?
- Was sensitive data protected before model use?
- Was the AI path approved by the right team?
- Did a person review the work when review was needed?
- Can we share a clean Evidence Packet with security, compliance, audit, or a customer?
For AWS and technical teams
DigiTrust connects baseline checks, sensitive-data protection, approved Amazon Bedrock paths, packet verification, and reviewer-ready evidence into one proof-ready workflow.
Show AWS services behind the scenes
Why teams need DigiTrust.
AI is moving into customer, claims, healthcare, finance, legal, and support workflows. Teams need more than a model response. They need a clear record of what happened and why it is ready to move forward.
Security and privacy
Show how sensitive data was classified, protected, and handled before model use.
Compliance and audit
Share a packet that records the workflow purpose, review outcome, and proof trail.
AI and cloud teams
Use an approved AI path and see workflow evidence in a reviewer-friendly package.
How DigiTrust works.
Start with one sensitive workflow and produce one packet your reviewers can use.
Start with one workflow
Pick one sensitive AI workflow that needs security, privacy, compliance, audit, customer, or leadership review.
Check the baseline
DigiTrust checks key readiness items. If a required baseline check fails, the workflow is not marked as passed.
Protect sensitive data
DigiTrust classifies sensitive values and applies the right protection step before model use.
Use an approved AI path
DigiTrust records the approved model path, region, guardrail reference, purpose, and routing result.
Add reviewer sign-off
When a human decision is needed, DigiTrust records the reviewer, outcome, timestamp, and reason.
Generate and verify the packet
DigiTrust creates an Evidence Packet and runs packet verification so teams can share proof with the right reviewers.
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.
Evidence Packet sections
- Workflow identity and owner
- Business purpose and policy result
- Sensitive-data classification and protection steps
- Approved AI path
- Guardrail and review evidence
- Output summary and action record
- Baseline check result
- Proof-Ready AI check result
- Acceptance result
- Verification hash and export record
- Framework evidence mapping
What is included now.
DigiTrust is live on AWS and ready for qualified design-partner validation.
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.
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 with the right stakeholders
- Create one proof asset for internal review
Proof-ready AI workflow evidence for teams moving from pilot to production.
DigiTrans builds solutions that help organizations make sensitive AI work easier to review, explain, and move forward with confidence.
DigiTrust helps teams turn sensitive AI workflows into clear Evidence Packets that show what happened, what was checked, and why the workflow is ready for security, privacy, compliance, audit, and customer review.
Customer assurance materials for qualified reviewers.
DigiTrust gives security, compliance, privacy, audit, legal, and AWS 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.
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.