Flashpoint Payment and Credit Card Fraud Mitigation helps teams detect stolen credit cards enabling them to block fraudulent transactions and reissue stolen credit cards before they are used, saving time, money, and reputational risk.

Flashpoint’s reputable and extensive presence in card shops provides the critical data, metrics, and identifying details of stolen cards, thereby assisting organizations to conduct analysis to understand organizational and customer exposure and take action to mitigate card fraud.


Use Cases

ASSIST INTELLIGENCE TEAMS TO CONDUCT STRATEGIC ANALYSIS OF ORGANIZATIONAL RISK EXPOSURE THROUGH KEY DATA POINTS

Issue:

Intelligence teams are responsible for understanding the extent of exposure and potential fraud loss that their organizations face. They require insight into the actor or group responsible for the breach, the price of the card data or cards, as well as the comparative overall threat landscape to understand the enterprise’s card exposure to take action to mitigate risk.

The Flashpoint Result:

Flashpoint processes and standardizes card shop data to allow Intelligence teams to easily understand their exposure. This empowers users to understand trends of their card data over time and view key data points such as recycled rate and card price against Flashpoint’s total card collections. Teams can therefore analyze and compare their exposure to the market in order to assess and mitigate risk. Users are also able to pivot directly into the Flashpoint Intelligence Platform to view Flashpoint’s broader collections for additional context and research.

UNDERSTAND EXPOSURE FOR RISK PROJECTIONS AND INTERNAL REPORTING

Issue:

Intelligence teams are responsible for sharing research with Fraud Teams and the broader organization in order to prioritize their workflows as it pertains to card fraud and showcase ROI.

The Flashpoint Result:

Flashpoint provides the ability for teams to identify card exposure trends and share results internally by enabling users to create and schedule dashboards and analytics to be sent to key stakeholders. Users are able to filter the data to internal requirements and requests, saving teams time and resources by creating recurring dashboards and intelligence updates internally.



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