DataVisor: Conversational AML Agents
DataVisor announced conversational AI agents designed to help prevent financial crime by combining conversational interfaces with real‑time fraud modeling. The product frames fraud prevention as a blend of product experimentation and live risk scoring. (x.com)
DataVisor said Tuesday it launched Vera, a conversational artificial intelligence system for banks and fintechs to fight fraud and anti-money-laundering work in plain language. (finance.yahoo.com) The company announced Vera on April 14, 2026, saying teams can type instructions into chat and have agents act across detection, investigation, compliance, and reporting. DataVisor says the product is aimed at the full fraud and anti-money-laundering lifecycle. (finance.yahoo.com) Anti-money laundering software watches customer activity for patterns that can signal criminal money moving through legitimate accounts. DataVisor’s pitch is that analysts should be able to ask for a new rule, a threshold change, or a case summary the way they would ask a colleague. (datavisor.com) On DataVisor’s product page, Vera is shown creating rules, editing watch lists, tuning features, testing strategies, triaging alerts, and drafting Suspicious Activity Reports and Currency Transaction Reports. The company says those actions keep an audit trail inside the workflow. (datavisor.com) DataVisor tied the launch to a wider rise in artificial-intelligence-enabled scams. In its April 14 announcement, the company cited its 2026 Fraud and Anti-Money-Laundering Executive Report, which found 74% of leaders called artificial-intelligence-driven fraud a top threat and 23% said they had the right infrastructure to respond. (finance.yahoo.com) The company has been building toward this combined fraud-and-compliance pitch for two years. In March 2024, DataVisor launched an end-to-end anti-money-laundering product and said it was designed as a unified fraud and anti-money-laundering, or FRAML, platform. (datavisor.com) That matters because most anti-money-laundering teams still work through queues of alerts, fixed rules, and reporting deadlines that can stretch investigations into hours or days. DataVisor says conversational agents can cut investigation time by 45% and speed report creation by 90%, though those figures come from the company’s own materials. (datavisor.com) The same materials say Vera runs on top of DataVisor’s existing real-time risk systems, which the company says analyze more than 30 billion events a day. DataVisor says the agents can turn chat instructions into production-ready code and no-code rules inside the platform. (datavisor.com) DataVisor, founded in 2013 and led by chief executive officer Yinglian Xie, has spent the past year pushing deeper into banks and financial technology firms with fraud, compliance, and reporting tools sold as one stack. Vera turns that strategy into a chat interface, with the human analyst still expected to review and control the outcome. (datavisor.com; datavisor.com; finance.yahoo.com)