DataVisor Vera and Vera Code vs Feedzai Farol AI Agent
Quick answer
DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) (DataVisor (DataVisor, Inc.)) and Feedzai Farol AI Agent (Feedzai) are both listed in the Risk category of Agent Index.
They share no framework tags in our dataset.
This is not a ranking.
DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) (DataVisor (DataVisor, Inc.)) and Feedzai Farol AI Agent (Feedzai) are both listed in the Risk category of Agent Index. They share no framework tags in our dataset.
| Field |  DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) |  Feedzai Farol AI Agent |
|---|---|---|
| Vendor | DataVisor (DataVisor, Inc.) | Feedzai |
| HQ | United States · North America | Portugal · Europe |
| Primary category | Risk | Risk |
| Also listed in | Risk, Compliance | Risk, Compliance |
| Summary | AI teammate for fraud and AML teams on the DataVisor platform. From a plain-language request, Vera orchestrates agents that author detection rules, features and lists, tune strategies against production telemetry, summarise alerts and draft FinCEN-aligned SAR narratives; changes are proposal-only and a human approves before anything reaches production. Vera Code turns requirements into tested, documented configurations. | AI agent embedded in Feedzai's RiskOps Studio that analyses fraud rules, retrieves and summarises alert data for investigations, and drafts SAR narratives for investigator review. |
| Frameworks (vendor-stated) | — | — |
| Frameworks (vendor-claimed) | — | — |
| Capabilities / tasks | fraud detection, aml, alert triage, sar narratives, case investigation | fraud detection, aml, case investigation, sar narratives |
| Pricing (as published) | Not published | Not published |
| Pricing model | quote | quote |
| Primary source | https://www.datavisor.com/agentic-ai/vera | https://www.feedzai.com/farol-agentic-riskops/ |
| Last checked | 2026-10-21 | 2026-10-18 |
| Official site | https://www.datavisor.com/agentic-ai/vera | https://www.feedzai.com/farol-agentic-riskops/ |
FAQ (from this dataset)
What is the difference between DataVisor Vera and Vera Code and Feedzai Farol AI Agent?
Both are listed under Risk. Shared tasks: fraud-detection, aml, sar-narratives, case-investigation. DataVisor Vera and Vera Code-only tasks: alert-triage. Feedzai Farol AI Agent-only tasks: none. Differences are from stored category and task tags, not a ranking.
Which one publishes pricing?
DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting): Not published Feedzai Farol AI Agent: Not published
Where are DataVisor Vera and Vera Code and Feedzai Farol AI Agent headquartered?
DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) publishes HQ in United States. Feedzai Farol AI Agent publishes HQ in Portugal.
Side-by-side data is generated from the open dataset. “Vendor-claimed” frameworks are as marketed by each vendor and not verified by Agent Index; framework tags indicate relevance, not certification. Request current quotes from each vendor before buying. This page does not rank or score vendors. Sponsored comparisons, if any, will be labelled.
Also in this use case
Other verified listings that share a task tag or use-case group with DataVisor Vera and Vera Code (agentic AI for fraud and AML strategy, tuning, alert summaries and SAR drafting) or Feedzai Farol AI Agent. Open a pair page or the use-case table — this is not a ranking.
- Napier AI Continuum responsible agents (screening alert triage and auto-clearing) — Configurable AI agents in London-based Napier AI's Continuum financial-crime platform. In Client Screening and Transaction Screening, compliance teams build and tailor 'responsible agents' in a no-code sandbox and choose how much autonomy to hand over, from flagging sanctions, PEP and adverse-media matches for review to clearing known patterns automatically before they reach a queue, with every agent action explained and captured in the audit trail. · Napier AI Continuum responsible agents (screening alert triage and auto-clearing) pair comparison
- SOCRadar AI Agents (specialist threat-intelligence, attack-surface, digital-risk and alarm-triage agents) — Roster of specialist agents inside the SOCRadar threat-intelligence platform: customers deploy agents, set each one's skills, scope and access, and green-light sensitive steps. Agents cover threat-actor and ransomware intelligence, detection-rule writing, IoC enrichment, identity/credential exposure, vulnerability analysis, brand and dark-web monitoring, phishing-domain hunting, external attack surface and Shodan recon, and alarm triage that records verdicts and asks before changing an alarm's status.
- Strike48 agentic SecOps platform (pre-built SOC agent team and no-code agent builder over federated logs, cloud or air-gapped on-prem) — Agentic orchestration platform for SOC and IT teams from the company behind the Devo log platform: purpose-built micro agents triage and investigate alerts, analyse phishing, hunt threats, write and tune detections and help with compliance over logs queried in place across SIEMs and data lakes, with configurable human approval and an audit trail; available as SaaS, isolated compute or an air-gapped on-prem appliance.
- Trulioo UBO Discovery Agent (agentic beneficial-ownership research inside KYB) — Agentic AI inside Trulioo's KYB verification workflow from Vancouver-headquartered Trulioo. When registries run out, the UBO Discovery Agent researches filings, disclosures, legal and public records, OSINT and verified third-party databases, reaches registries without API connectivity in real time, reconstructs the beneficial-ownership chain with jurisdiction-specific control logic, cites every finding and reports gaps instead of guessing. · Trulioo UBO Discovery Agent (agentic beneficial-ownership research inside KYB) pair comparison
Use-case comparisons
- AML and transaction-monitoring AI agents — 57 listings (Anti-money-laundering, transaction monitoring and financial-crime investigation)
Related
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