Fraud and financial crime
Connect alerts, supporting information, investigation steps, recommended actions, analyst review, approval, exceptions, and final outcomes.
Financial Services AI Evidence and Assurance
Make financial AI reviewable.
DigiTrust helps financial institutions see what happened, what evidence supported the result, which checks were performed, who approved it, and whether it was used only for the approved purpose.
Designed for regulated banking, insurance, payments, risk, fraud, customer service, cybersecurity, AI agents, and automated workflows.
30–45 day pilot2–3 AI workflowsCommercial terms through controlled sales channelsAWS Marketplace purchasing
The financial AI trust challenge
Strong governance still needs operational proof.
Financial institutions already maintain cybersecurity, model risk, compliance, audit, data governance, and third-party oversight programs. AI adds a new challenge: connecting the underlying data and workflow to clear checks, accountable decisions, approved use, known limits, and a record that can be reviewed later.
DigiTrust complements existing controls. It does not replace model risk management, information security, legal review, regulatory obligations, internal audit, or accountable business ownership.
Priority workflows
Start where the outcome already carries financial, customer, security, or regulatory consequence.
Risk and decision support
Preserve source data, AI-system context, repeatable checks, human decision points, known limits, and a complete history of each recommendation.
Customer intelligence and service
Record which customer signals influenced an outcome, what use was approved, when a person stepped in, and what was communicated.
AI copilots and AI-agent operations
Track tools, data access, actions, approval steps, withdrawn approval, and the final accountable business outcome.
Cybersecurity AI
Connect alert evidence, triage recommendations, check results, security test findings, response approval, and incident review history.
Payments and embedded finance
Make decisions across connected systems, identity checks, anti-money-laundering controls, fraud signals, payment records, approval boundaries, and exceptions easier to review.
The DigiTrust financial trust record
One connected record for evidence, checks, human approval, approved use, and review history.
Evidence source history
Identify which data, documents, systems, tools, and events supported the AI-assisted outcome.
Repeatable, rule-based checks
Record clear checks for quality, integrity, supporting facts, approval rights, conflicts, and safe disclosure.
Accountable human approval
Record the reviewer, role, approved purpose, conditions, decision, and time period.
Approval for a specific use
Prevent a changed, expired, withdrawn, or substituted result from inheriting approval.
Known limits and review history
Keep important concerns visible and preserve the path from evidence to the accountable outcome.
Financial Services Pilot
Evaluate two to three consequential workflows in 30–45 days.
DigiTrust Enterprise AI Evidence and Assurance Pilot
Select workflows with real review, risk, audit, or customer consequence. Initial discovery can proceed without nonpublic personal information, account data, credentials, payment-card data, or raw production records.
Commercial termsCustomer-specific
Scope2–3 workflows
PurchasingAWS Marketplace
ExpansionProduction pathway
- 1Workflow and control assessment
Current evidence, governance, risk, human approval, and review state. - 2Evidence and assurance map
Sources, checks, approvals, approved-use conditions, exceptions, and known limits. - 3Production roadmap
Prioritized implementation design, operating controls, success criteria, and expansion. - 4Executive findings
Customer-safe outputs for security, risk, compliance, audit, and purchasing.
Who should participate
Bring the people who own the risk, the workflow, and the final authority.
Chief Information Security Officer
Chief Data or AI Officer
Model Risk Management
Enterprise Risk
Compliance and Legal
Internal Audit
Fraud or Payments Leadership
AI Governance
Workflow Business Owner
Buying through AWS Marketplace
A clear path from discovery to purchase.
DigiTrust is publicly listed in AWS Marketplace. For qualified opportunities, DigiTrans can align the customer problem, how AWS is involved, account-team participation, preferred buying method, and production-expansion path.
AWS Marketplace availability does not imply AWS endorsement or a guarantee of regulatory, risk, security, or business outcomes.
Start with one reviewable outcome
Make the next financial AI workflow easier to trust, review, and expand.
Request a 30-minute briefing to identify the strongest workflow, buyer group, information needed for review, how AWS is involved, and the pilot path.