The Playbook to Stop Polymorphic AI Fraud
Move through investigations with confidence
Vera helps investigators understand why an alert fired and work through cases faster and more consistently — surfacing the key signals today, and guiding reviews toward a recommended decision on the roadmap.
Context first, consistency always
Vera explains every alert instantly today, with SOP-driven investigation agents extending that guidance on the roadmap.
Understand every alert instantly
AI alert summaries explain why an alert fired and which risk indicators matter, citing the underlying events.
Faster, more consistent investigations
Less time spent piecing context together means more consistent dispositions across the queue.
Investigation agents that follow your playbook
Upload a review SOP and it becomes the red flags, decision logic, and narrative format an agent works to.
From alert to disposition
Vera reads the events, triggered rules, and risk signals behind an alert, then surfaces why it fired and the indicators that matter most — citing the evidence throughout.
From alert to disposition
Open Alert Details and request an AI summary.
Vera reads the events, triggered rules, and risk signals.
It surfaces why the alert fired and the key indicators, citing the evidence.
The investigator verifies and dispositions.
Assistive today, guided tomorrow — always reviewed
Today’s summaries are assistive and cite underlying events for verification. Roadmap investigation agents turn uploaded SOPs into explicit guardrails, and any AI-recommended decision is reviewed by a human. Everything is audit-logged.
Review and triage across fraud and AML
Alert review and triage across fraud and AML queues today, extending on the roadmap to AML investigation agents, check-fraud investigation, and screening review.
60% less investigation time
Teams using AI alert summaries report faster, more consistent reviews across the queue.
Grounded in real-time case context
Summaries are grounded in unified real-time case data and DataVisor’s own decisioning and cite the specific events behind the alert — context a generic assistant can’t access.
Governed, private, and auditable
Like every Vera agent, AI-guided investigations run on Amazon Bedrock statelessly — prompts and case data are never stored by AWS or used to train foundation models, and are processed in full per-customer isolation.
- Stateless processing on Amazon Bedrock — nothing stored by AWS
- Every summary cites the underlying case events for verification
- Usage is audit-logged and RBAC-scoped
- Roadmap SOP-driven agents turn uploaded playbooks into explicit guardrails
- Any AI-recommended decision stays under human review
Common questions
Does the AI decide the alert?
Today it’s an assistive summary; auto-decisioning is on the roadmap and runs to an uploaded SOP with human review.
How do I trust the output?
Every summary cites the underlying case events so investigators can verify each point.
Guide every investigation
See how Vera turns raw alerts into cited, decision-ready context.