DataVisor Launches Vera Code: Agentic AI to Revolutionize Fraud and AML Program Deployment

DataVisor has launched Vera Code, an agentic AI capability designed to automate the deployment and management of fraud and anti-money laundering (AML) programs. For fintech professionals, this represents a shift from task-specific AI to autonomous agents capable of building end-to-end financial crime solutions through natural language, significantly reducing implementation timelines.

What was announced

Launched on the Money20/20 USA Breaking News stage, Vera Code introduces agentic AI to the financial crime lifecycle, moving beyond isolated automation to end-to-end program execution. The tool allows risk teams to use a conversational experience to translate requirements into complete solutions, including event schemas, aggregated signals, rules, scorecards, alert queues, and review workflows. Once built, the system tests the configuration before going live, ensuring every change is verified and approved by human operators.

The speed of deployment is a central feature of the new capability. DataVisor reports that Vera Code can build new solutions up to 100 times faster than traditional methods and update existing ones 25 times faster. In one instance, a Fortune 500 insurer deployed a real-time fraud solution in four days, a process that typically takes three to six months. A regional bank also utilized the tool to replace a legacy system, avoiding a months-long implementation process and saving hundreds of thousands of dollars in management costs.

The underlying platform processes decisions in under 30 milliseconds and utilizes patented unsupervised machine learning to detect coordinated fraud. To date, the Vera suite has reportedly saved customers 1.7 years of work, reduced regulatory reporting time by 90%, and lowered false positives by 87%. By automating the translation of risk policies into operational data, the system aims to help financial institutions keep pace with polymorphic fraud attacks that adapt at machine speed.

"Vera AI agents help fraud teams use their data and expertise to develop strategies more quickly and manage fraud programs more efficiently. DataVisor makes AI capabilities more accessible and practical, helping financial institutions like SoFi Tech Solutions adapt to evolving requirements and emerging fraud threats,"

Maxim Spivakovsky, Sr. Director, Global Payments Risk Management, SoFi Tech Solutions

The companies involved

DataVisor is a real-time AI decisioning platform specializing in fraud and risk prevention for financial institutions and digital enterprises. The company has spent over a decade developing its proprietary platform, which is built on a foundation of patented unsupervised machine learning (UML). This technology is designed to identify emerging and coordinated fraud patterns without requiring pre-labeled data, a capability that distinguishes it from traditional supervised models.

The firm’s market position is defined by its ability to aggregate and enrich diverse data signals to make sub-30-millisecond decisions. DataVisor has established a presence among high-volume financial services providers and has been recognized by industry analysts for its leadership in the AI-driven financial crime space. Its technology is increasingly used to replace legacy static defenses that struggle to adapt to the speed of modern, AI-driven attacks. By integrating agentic AI through the Vera suite, the company is positioning itself as a provider of comprehensive, end-to-end financial crime lifecycles rather than just a detection engine.

What FF News has reported before

FF News has tracked DataVisor’s expansion across the financial sector, including its recent partnership with Navan Partners with DataVisor to Secure Real-Time Travel and Expense Payments with AI. This collaboration focused on securing real-time payments within the travel and expense management space. The company’s core technology also received significant recognition earlier this year, as detailed in DataVisor Secures Triple Industry Honors for AI-Driven Financial Crime Risk Decisioning.

Further adoption within the banking sector was highlighted when Tru Cooperative Bank Selects DataVisor to Power Real-Time Fraud Prevention. Additionally, the operational integrity of the company’s solutions was validated in a third-party review, as reported in Davies’ Evaluation Endorses DataVisor’s Enhanced AML/BSA Solutions, Affirming Operational Integrity and Seamless Investigation Processes for FIs.

What this means

The launch of Vera Code addresses one of the most persistent friction points in fintech: the implementation gap. While many vendors offer advanced AI detection, the months-long integration cycles often mean that by the time a solution is live, the fraud landscape has already shifted. By reducing deployment times from months to days, DataVisor is putting immense pressure on legacy providers whose business models rely on lengthy professional services engagements. The move toward "agentic" AI also raises a critical question for the sector: as AI begins to write its own detection rules and workflows, the industry's regulatory burden will shift heavily toward the governance and auditability of these autonomous agents.