Intelligence for Real-Time Fraud Defense
Every digital interaction begins with identity. And the most powerful digital identity signal is the email address.
AtData transforms that single data point into a living, evolving source of truth. With one of the world’s largest historical databases, billions of monthly activity signals, and advanced AI-driven modeling, we turn identity data into actionable intelligence that stops fraud.
Perfecting the Art of Email-Centric Protection
Every email address, phone number, postal address carries a footprint that tells a story. Who created it? How long has it existed? Has it interacted in trusted networks? Is it behaving consistently with legitimate users or deviating from normal patterns?
Most fraud detection systems focus on transactions. AtData focuses on intent.
By reading those signals at scale, AtData exposes the hidden patterns that traditional tools miss. We aren’t just validating contact data. We’re interpreting the behavior behind it.
AtData’s fraud prevention solution uses the identity layer itself as the defense perimeter, combining:
- Email intelligence such as behavioral patterns, domain trust, and age of email.
- Phone intelligence like validation, risk analysis, and number activity signals.
- Postal intelligence with address correlations, anomalies, and geographic consistency.
Together, these form a high-resolution map of risk. One that continuously learns and adapts as fraud evolves. Fraud moves fast. But AtData moves faster.
Driven by Email Intelligence
From Data Points to Decision Power
AtData’s fraud prevention solution transforms fragmented identity signals into unified, real-time insight. We process and analyze billions of global identity interactions every month, building the foundation for a system that doesn’t just see fraud, it anticipates it.
Our network effect, built on over two decades of email-centric data expertise, means every interaction strengthens the system. Each verified identity makes the next one more accurate, more predictive, and more powerful.
- Trusted email address experts serving industry leading brands and partners
- Massive historical database of email addresses and billions of real-time monthly signals
- Real-time machine learning risk score, age of email, plus additional insights
- Direct contracting with the data originator
- Customizable ML modeling by region, sector, or client
- White glove partnership support to customize and integrate models
98% coverage of emails with activity history
Billions of trust signals monthly feeding our models
Faster time to value, fewer operational headaches
Fewer false positives and less friction for real users.
Proprietary Detection Capabilities
Advance Your Fraud Insights
1
AI Risk Score
Our machine learning models synthesize metadata, behavioral signals, and historical data into a numeric risk value. This score allows you to make instant, data-backed decisions, approving legitimate users faster and blocking high-risk activity before damage occurs.
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2
Domain and IP Analytics
We analyze domain trustworthiness and cross-reference it with real-time IP activity to identify newly created or disposable domains, hyper-disposable providers, and suspicious geographic patterns.
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3
Behavioral Insights
Gain customer behavioral insights through: first activity date, longevity, email velocity, and email popularity. The date an email becomes active is a key indicator in evaluating risk. Our system interprets key behavioral signals including first-seen date, email velocity, frequency of use, and activity consistency to reveal whether an identity behaves like a real customer, fraudster, or bot.
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4
Email Age and Activity
New, unverified, and low-history email addresses are often exploited to manipulate systems. Fraud can fake everything but time. Email age is a core signal to identify high-risk addresses.
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5
Phone and Email Validation
With enterprise-grade accuracy, we verify whether an email or phone number is valid, active, and risk-free. This eliminates fake, dead, or hijacked contact points from your ecosystem, improving both fraud defense and communication deliverability.
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6
Platform Tumbling Check
Fraudsters often create multiple email variations or sequentially named accounts to bypass filters. AtData’s tumbling check detects these patterns in real time, identifying clusters of synthetic identities before they infiltrate your systems.
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7
Name, Address, and Email Correlation and Anomalies
Fraud rarely hides in a single signal. Our cross-field analysis confirms whether first name, last name, and postal address align with verified historical records. It also identifies anomalies, such as too many addresses tied to one email, that flag synthetic or stolen identity behavior.
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8
Fraud Consortium
Our network of partners continuously updates known fraud classifications, creating a shared defense layer across industries. Through our dedicated API clients contribute and benefit from verified fraud intelligence, improving accuracy system-wide.
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Email Data
The Ultimate Fraud Prevention Tool
How much intelligence is packed into a single email address? A lot more than you might think. AtData turns email addresses into a living, breathing reflection of online behavior. Each email comes with a history that spans far beyond its creation date. It’s the fingerprint that tells you whether this account is legitimate or just another attempt to game the system.
- Age of Email: A fresh account raises red flags. Newly created emails have higher chances of being linked to fraud.
- Behavioral Patterns: A sudden change in usage habits could point to fraudulent activity or account takeover.
- Historical Signals: Data from billions of previous interactions gives context to every email address, allowing you to see not just the present, but the potential future risks.
- Dynamic Risk Scoring: We score each email on real risk. High-risk emails don’t get a second chance.
By making these data points actionable in real time, we give fraud prevention professionals the power to act instantly, preventing fraudulent behavior before it ever impacts your business.
We’ve thrown away the assumption that an email is just an entry point. It’s a digital breadcrumb trail that reveals the full picture of risk. By interpreting billions of data points in real time, we equip you with the tools to shut down fraud.
Speed and Precision
The New Standard for Digital Trust
Fraud doesn’t operate on your timeline. You need decisions in milliseconds, not minutes.
AtData’s infrastructure delivers real-time identity risk analysis, enabling immediate action at the point of interaction. Whether it’s account creation, transaction approval, or customer onboarding, you get the clarity to act instantly and the confidence to do so accurately.
- Real-Time Risk Assessments: Our systems evaluate the risk of every email as it’s created or engaged with — no waiting, no delay.
- Instant Actionability: Flag or block fraud attempts as soon as they happen, preventing potential losses.
- Adaptive Algorithms: Our AI models learn from every confirmed fraud event, continuously refining themselves to detect emerging threats.
In fraud prevention, milliseconds matter. The ability to act before the fraudster does is the difference between catching a scam and letting it slide. That’s where AtData shines: we give you the speed and insight needed to act quickly, accurately, and effectively.
Speed without precision creates friction. Precision without speed creates vulnerability. AtData eliminates that tradeoff — delivering both.
The AtData Edge
Expertise You Can Trust
For over two decades, AtData has specialized in one thing: understanding digital identity through the lens of email. We’ve built the most comprehensive, historically rich, and behaviorally intelligent dataset in the industry — and we’ve extended that capability to phone and postal data to give fraud teams complete situational awareness.
Our edge isn’t just data volume. It’s data context.
By interpreting the relationships between signals — not just verifying them — we reveal risk patterns that static systems can’t see. Fraud prevention becomes predictive, not reactive.
That’s why global enterprises, financial institutions, and digital platforms rely on AtData to secure their customer ecosystems.
- Safer account creation — block bad actors at the start
- Frictionless customer onboarding — reduce false positives and improve conversions
- Continuous monitoring — detect changes in risk behavior over time
- Cross-channel fraud correlation — unify data silos across systems and teams
Redefine Digital Trust
Fraud prevention used to be about building walls. Now it’s about building intelligence.
AtData gives you the visibility to see beyond isolated signals to understand the identity behind the interaction. With global email intelligence at its core and enhanced identity insights, we turn fragmented data into a cohesive, predictive system of trust.
Power your fraud decisions with data that never stops learning.
Protect your customers. Protect your reputation. Protect your business.
What makes AtData’s fraud prevention solution different from traditional fraud tools?
AtData focuses on identity signals, not just transactions. Traditional tools flag suspicious behavior after it happens, but AtData detects risk before it occurs by analyzing billions of real-time activity signals tied to email, phone, and postal data. Our proprietary models evaluate factors like email age, domain trust, phone activity, and postal consistency to identify synthetic or high-risk profiles early in the process at account creation or even when capturing an email address at guest checkout.
How is email intelligence used to prevent fraud?
Email addresses carry rich behavioral and historical data. AtData interprets that digital footprint — from creation date to usage frequency to domain credibility — to determine whether an email is legitimate or risky. Because we maintain activity history on over 98% of all known emails, our models can quickly detect anomalies and prevent new or disposable emails from being used in fraudulent activity.
What role does phone data play in AtData’s fraud detection?
Phone numbers provide an additional dimension of trust. AtData validates the accuracy, activity, and risk level of each number to confirm whether it’s tied to a real user or a fraudulent entity. Correlating phone data with email and postal information reveals inconsistencies that can signal account takeovers or synthetic identity creation.
How does postal data strengthen fraud prevention accuracy?
Postal data adds physical verification to digital identity checks. AtData analyzes address consistency, history, and anomalies — such as multiple emails linked to one address — to flag potential fraud patterns. When combined with email and phone intelligence, postal data provides a powerful real-world anchor that increases confidence in every verification decision. And with geo-location activity of email addresses, this anomaly detection is further enhanced with the postal anchor for reference.
What is an AI risk score and how is it calculated?
AtData’s AI Risk Score is a numeric value generated by our machine learning models to quantify the likelihood that an identity is fraudulent. It combines metadata, behavioral signals, and historical activity across email, phone, and postal datasets. The score is updated in real time, allowing organizations to approve trusted users instantly and block suspicious ones before damage occurs.
Can AtData detect newly created or disposable emails used in fraud?
Yes. AtData continuously monitors domain and IP activity to identify newly registered or disposable email domains — a common tactic used by fraudsters. Our domain risk analytics evaluate domain age, reputation, and network behavior to block these accounts before they can be used for fraudulent sign-ups, transactions, or chargebacks.
How does AtData’s fraud prevention API integrate with existing systems?
AtData’s fraud detection APIs are designed for flexible, real-time integration into onboarding, payment, or account creation workflows. Data can be queried instantly to verify email, phone, and postal identity signals and return a risk score within milliseconds. This enables seamless automation without disrupting user experience or adding unnecessary friction.
How does AtData reduce false positives while detecting fraud?
By combining behavioral context with identity intelligence, AtData can distinguish between unusual but legitimate behavior and truly fraudulent activity. Our AI models continuously learn from verified outcomes, improving precision over time. This means fewer good users are blocked and fewer bad actors slip through — reducing both friction and fraud loss.
How does AtData’s Fraud Consortium enhance protection for all users?
The Fraud Consortium is a shared intelligence network where AtData partners contribute and access confirmed fraud data. This collaboration strengthens the system for every participant, allowing members to instantly recognize previously identified fraudulent profiles and block them across the network — making the entire ecosystem more resilient to emerging threats.
AtData: The Global Leader in Email-Centric Fraud Prevention
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