Nasdaq Verafin Partners with Q6 Cyber to Tackle Dark Web Fraud Intelligence

Nasdaq Verafin has partnered with Q6 Cyber to integrate dark web fraud intelligence into its financial crime management platform. This collaboration allows financial institutions to identify compromised credentials, checks, and payment cards before they are used in transactions, shifting the defensive posture from reactive mitigation to proactive prevention against rapidly evolving cyber threats.

What was announced

The partnership integrates Q6 Cyber’s specialized dark web fraud intelligence directly into the Nasdaq Verafin fraud and anti-money laundering (FRAML) platform. This integration is designed to provide banks and credit unions with a more comprehensive view of emerging threats by combining Q6 Cyber’s visibility into illicit digital communities with Nasdaq Verafin’s existing consortium data network. This network currently encompasses more than 2,800 financial institutions and tracks over 850 million counterparties.

The technical scope of the arrangement focuses on the continuous monitoring of dark web marketplaces, deep web forums, and encrypted messaging platforms. Q6 Cyber identifies compromised assets including stolen checks, payment cards, and online banking credentials. Over the past 18 months, Q6 Cyber has reported the collection of more than 1.2 million compromised checks, 57 million unique compromised credentials, and 158 million compromised payment cards from the hundreds of thousands of financial crime sources it monitors.

A key metric highlighted by the companies is the lead time provided by this intelligence. In a proof-of-concept study, the average duration from the detection of a stolen check on the dark web to the first fraudulent check being returned was 10 days. By surfacing these risk signals as high-risk alerts within the Verafin workflow, the partnership aims to provide actionable intelligence within minutes or hours of data appearing on the dark web. This allows anti-financial crime teams to take steps to secure accounts before a fraud attempt occurs, addressing a check fraud sector that is currently growing at an annualized rate of 20.4%, according to Nasdaq Verafin’s 2026 Global Financial Crime Report.

"Access to these sources and communities is not something you can buy or crawl. Our intelligence is highly impactful because over the past ten years, we have built a massive network of proprietary sources deep inside the dark web, going after the threat actors that target financial institutions. With first-hand access, every piece of intelligence we deliver is a confirmed compromise or threat rather than an exposure score. Bringing that into Nasdaq Verafin puts it in front of the fraud fighters who can act on it days or weeks before the fraud event even occurs."

Eli Dominitz, CEO of Q6 Cyber.

The companies involved

Nasdaq Verafin operates as a major provider of cloud-based financial crime management solutions, specializing in fraud detection and anti-money laundering software. The entity is a significant component of Nasdaq’s broader technology portfolio, which serves the global capital markets and various other industries through its exchange and technology services. Nasdaq itself is a global technology company that provides trading, clearing, exchange technology, listing, information, and public company services across six continents. Colin Parsons serves as VP - Head of Fraud Product Strategy at Nasdaq.

Q6 Cyber is a specialized intelligence firm that focuses on the "e-crime underground." The company has spent a decade establishing a network of proprietary sources within the dark web to monitor threat actors specifically targeting the financial services sector. Unlike traditional cybersecurity firms that may rely on automated web crawling, Q6 Cyber emphasizes direct access to private forums and encrypted channels where stolen financial data is traded. By positioning its intelligence within the Nasdaq Verafin ecosystem, the company moves its data from a standalone intelligence feed into the primary operational workflow used by thousands of fraud investigators at banks and credit unions across North America.

What this means

This integration signals a shift in the fintech sector toward "pre-transaction" intelligence as the primary defense against organized fraud. As check fraud and account takeovers become more sophisticated, the industry is moving away from purely behavioral analysis—which often triggers only after a suspicious act—toward a model that invalidates stolen data before it can be used. This puts significant pressure on legacy fraud systems that lack real-time dark web visibility. The critical question for the sector remains whether the integration of external intelligence can be scaled across smaller institutions that may lack the specialized staff to interpret high-risk dark web alerts, even when delivered through a unified workflow.