Nov 2-4  |  Dublin, Ireland

The conversation worth having in Dublin

Fraud teams are being asked to make better decisions with increasingly unreliable identities

Merchants often invest heavily in transaction scoring, authentication, device intelligence, and behavioral analysis. These controls remain essential, but they often encounter risk too late, after an identity has already entered the environment and begun accumulating credibility.

• Is this a legitimate customer whose behavior happens to look unusual?
• Is this a newly created identity, or an established identity being manipulated?
• Are several apparently separate accounts connected?
• Is a low-confidence signal evidence of fraud, or simply incomplete context?
• Can risk be identified earlier without placing more friction in front of good customers?

AtData uses email as a persistent identity anchor, combining historical context with real-time activity and behavioral signals to help organizations evaluate the credibility of an identity from one of the first fields and throughout the customer lifecycle.

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CASE STUDY

Strengthening Fraud Prevention Across a $2 Billion Finance Operation

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What we can explore together

• Synthetic and fabricated identities

  Consider how identity age, activity, velocity, relationships, and behavioral consistency can help identify accounts that have been constructed to appear credible.

• Fake accounts and coordinated abuse

  Look beyond isolated registrations to detect patterns such as repeated signups, mailbox variations, sequential account creation, and other signals of organized activity.

• Transaction and payment fraud

  Discuss how identity intelligence can add context before authorization, helping risk systems distinguish established customers from identities displaying signs of manipulation or abuse.

• Account takeover

  Explore changes in identity behavior and associated attributes that may reveal when a familiar account is no longer being controlled by the familiar customer.

• False positives and customer friction

  Examine where additional identity context could help teams reserve challenges and manual reviews for the interactions that truly require them.

• Decisioning and model enrichment

  Consider how longitudinal identity signals can strengthen the fraud platforms, orchestration layers, rules, and models already responsible for making decisions.

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Why email belongs in your risk conversation

An email address is more than a field attached to a transaction

It often persists across account creation, authentication, recovery, communication, and purchasing. Over time, it accumulates a history of activity and relationships that are difficult to understand from a single transaction or session.

That history provides useful context:

• How long has the identity existed?
• Has it demonstrated sustained activity?
• Is its recent behavior consistent with its past?
• Does it appear alongside an unusual number of accounts or interactions?
• Are variations of the address being used repeatedly?
• Does the broader identity appear coherent?

AtData maintains intelligence across more than 10 billion global email addresses, observes approximately 150 billion deterministic activity signals each month, and reports activity-history coverage for 98% of global email addresses.

The point is not to replace the systems already making fraud and payment decisions. It is to give those systems a deeper understanding of the identity behind the event.

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CASE STUDY

International BNPL Provider Prevents Fraud with AtData

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Identity intelligence anchored in email

AtData transforms email history, activity, and behavioral signals into intelligence organizations can use to validate identity data, connect fragmented records, understand customers, and assess risk.

For fraud and payment teams, that intelligence can support decisions across onboarding, account management, authentication, transaction review, and ongoing monitoring. It can be introduced into existing systems through real-time risk assessments, detailed identity signals, and configurable models.

If you’re attending MRC Dublin, let’s make the time count. Schedule a meeting with AtData and start the dialogue before the show.