The Playbook to Stop Polymorphic AI Fraud
Tell your platform what to do. Vera does it.
Vera is an AI teammate for fraud and AML teams. Express your intent in plain language and Vera orchestrates agents across DataVisor to author rules, features, and lists, tune strategies, summarize alerts, and draft SAR narratives — with a human approving before anything reaches production.
One teammate, three ways to move faster
Vera turns plain-language intent into governed action across strategy creation, front-line review, and ongoing tuning — with a human approving every change.
Turn intent into production-ready logic
Describe the fraud pattern and Vera builds it — rules, features, and lists authored from plain language and validated against the platform before review. Strategy cycles compress from weeks to minutes.
Summarize alerts and draft SARs in seconds
Vera explains why an alert fired and drafts FinCEN-aligned SAR narratives from case data, so reviewers and compliance analysts spend their time deciding, not summarizing.
Keep every rule and model earning its keep
Vera triages rule performance, proposes threshold and logic changes with the arithmetic shown, and surfaces coverage gaps — always as proposals a human approves.
An agent that does the work — not just answers questions
Vera spans the lifecycle: Operations drafts alert summaries and SAR narratives, Code builds features, rules, decision flows, and integrations, Analytics lets you ask your data and tune in the loop, and ML accelerates feature selection, training, and evaluation.
From plain language to governed change
Express your intent in natural language.
Vera parses it into a structured plan.
The right agent does the work in the platform.
You review, modify, or approve.
Approved entities move through the governed lifecycle: Pending Approval → AI Generated → Accepted → Published.
No silent changes to production
Access is governed by RBAC permissions, every AI-generated entity requires human approval before entering the draft-and-publish process, and every prompt, response, and action is captured in searchable history. Outputs are reviewable and reversible.
One assistant across the detection lifecycle
Rule and feature creation, list management, quick testing, strategy optimization, alert investigation, and SAR reporting — supported through out-of-the-box solutions spanning ACH, dEdge, digital banking, real-time payments, check, wire, card, and AML.
Real outcomes across the customer base
74% of coordinated attacks stopped in real time · 87% fewer false positives with 100% true-positive retention · 60% less investigation time · 90% faster SAR creation.
Adapt without destabilizing what works
During a merger, a credit union used Vera to design and deploy a reversible risk switch without rewriting its 100+ core rules — cutting false positives for the newly merged cohort by roughly 80% and going live in under a day. “Having Vera is like having another one of me on the team. You tell Vera what you want to implement, it builds it, and you validate it.” — Fraud Specialist
Built into the platform, not bolted on
Vera acts on unified real-time risk data and models — configuring rules, features, lists, workflows, and reports — with governance a generic assistant can’t replicate. Explore what Vera does in each part of the platform.
Governed, private, and auditable
Vera runs on Amazon Bedrock statelessly: prompts and responses are never stored by AWS or used to train foundation models, and are processed in full per-customer isolation with TLS in transit and AES-256 at rest — inheriting SOC 1/2/3, ISO 27001/27017/27018, PCI DSS, and GDPR-readiness.
- Stateless processing on Amazon Bedrock — nothing stored by AWS
- Never used to train foundation models
- Per-customer isolation, TLS in transit, AES-256 at rest
- SOC 1/2/3, ISO 27001/27017/27018, and PCI DSS coverage
- RBAC-scoped access and a full, searchable audit history
Common questions
Can Vera change production on its own?
No. Every AI-generated entity requires human review and approval before it enters the normal draft-and-publish process, and all actions are audit-logged and reversible.
Is my data used to train AI models?
No. Vera runs statelessly on Amazon Bedrock; your prompts and data are isolated per customer, never stored by AWS, and never used to train foundation models.
Put an AI teammate to work
See how Vera turns plain-language intent into governed fraud and AML action across DataVisor.