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From newly created or disposable emails, to hyper-disposable domains, AtData stops fraud early and cost-effectively.
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.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
FinServ / FinTech
AdTech / MarTech
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Automotive
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LeadGen
Media
Nonprofit & Political
On-Demand & Delivery
Restaurant & Food Services
Retail & Ecommerce
