Sensitive data risk
PII, PHI, PCI, client data, and confidential records can move into AI prompts, tools, or logs before teams notice.
DigiTrust
Proof-ready AI for sensitive data.
DigiTrust helps teams put AI workflows into production with tokenization, human review, approved AI paths, and Evidence Packets that show what happened.
Tokenize sensitive data
Review high-risk work
Use approved AI paths
Create audit-ready proof
Deploy in your cloud
Why DigiTrust
AI is moving fast. Proof is lagging.
Teams want AI in real workflows, but sensitive data risk, unclear AI paths, and manual audit prep slow the move from pilot to production. DigiTrust makes the first safe workflow practical.
AI path uncertainty
Teams need a simple way to send data only through approved models, tools, agents, and cloud services.
Manual evidence work
Audit proof is often scattered across tickets, logs, chats, spreadsheets, and cloud tools.
QuickStart
Start with one high-value AI workflow and make it proof-ready.
DigiTrust adds the product layer your team needs to classify data, protect sensitive fields, route work through approved AI paths, and generate Evidence Packets.
1
Connect
Select one workflow with real business value.
2
Classify
Identify sensitive fields and workflow context.
3
Protect
Tokenize, mask, or transform data before AI use.
4
Review
Send higher-risk requests to accountable humans.
5
Prove
Create an Evidence Packet for each important event.
Evidence Packet
A clear record of what happened.
The Evidence Packet gives security, privacy, audit, legal, and business teams a review-ready record without storing raw sensitive data in the packet.
Workflow ID
Data type
Policy result
Token status
Human review
AI path used
Timestamp
Audit hash
Sensitive Data Utility Layer
Protect sensitive data before it reaches AI.
DigiTrust can tokenize, mask, or transform sensitive fields while preserving useful format patterns for approved systems and workflows.
Vaulted or vaultless options
Replace sensitive values with format-friendly tokens before AI work continues.
Format-preserving safeguards
Keep structure where business systems need it while reducing raw data exposure.
Separation by design
Keep tokens, key references, and original data apart to reduce downstream risk.
Escalate sensitive requests
Require review for detokenization, exceptions, or higher-risk AI actions.
Spot unusual activity
Surface abnormal use patterns so teams can respond quickly.
Fit existing systems
Work across EHR, insurance, finance, legal, customer support, and cloud applications.
Use cases
Built for workflows where sensitive data and proof matter.
Healthcare
PHI-heavy document summaries, member inquiries, care operations, and EHR-adjacent assistants.
Insurance
Claims summaries, underwriting reviews, policyholder support, and document triage.
Banking and fintech
Customer support, account operations, transaction review, and internal copilots.
Legal and compliance
Contract review, investigation support, matter summaries, and client-confidential workflows.
Enterprise SaaS
Tenant-sensitive support copilots, customer success workflows, and internal knowledge assistants.
Public sector partners
Sensitive documents, grant support, case review, and secure AI-enabled operations.
Deployment
Cloud-flexible. AWS-ready.
DigiTrust can fit into existing cloud environments and pair with AWS services commonly used for AI, identity, data discovery, workflow automation, logging, and secure storage.
Amazon Bedrock
Bedrock Guardrails
Amazon Macie
AWS IAM
Verified Permissions
AWS Lambda
Step Functions
CloudTrail
S3 Object Lock
SIEM tools
Service desks
Data catalogs
Expansion path
Start small. Prove value. Scale with confidence.
1. Evidence Packet QuickStart
Start with one protected AI workflow and a review-ready Evidence Packet.
2. Foundation rollout
Extend the trust architecture to more workflows, teams, and data sources.
3. Platform subscription
Track workflows, policies, reviews, approved AI paths, and Evidence Packet volume.
4. TrustOps
Ongoing updates, evidence reviews, metrics, reporting, and executive readouts.
Next step
Build your first proof-ready AI workflow.
Tell us which AI workflow you want to put into production. We will help identify the sensitive data risk, review path, approved AI route, and Evidence Packet your team should produce.
Contact info@digitranshq.com.