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Fraud prevention starts with zero-delay data

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Stay ahead of fraud

  • Identity Graphing

    Builds complex digital identity profiles to identify and authenticate users across time, sessions, and devices

  • Anomaly Detection

    Analyzes data at scale to recognize anomalies that lead to the discovery of where and how fraud occurs

  • Bot Detection

    Machine learning model saves you money and enables you to intervene the moment a bot arrives

Your business faces a growing wave of sophisticated fraud threats, from account takeovers to bot attacks. Most fraud prevention systems are reactive, relying on delayed or incomplete data that misses critical signals. Traditional fraud solutions lack the real-time, granular data capture necessary to stop fraud in its tracks. Fraudsters are fast. Your detection systems need to be faster. Reliance on conventional data platforms means you're operating with several key disadvantages.

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Powerful machine learning for the best fraud prevention.

Get the upper hand. Stop scams and fraud before they occur — not after you realize a loss.

Only Celebrus Sense and Trace utilizes the Celebrus First-Party Identity Graph to profile PII and interactions in live time to allow you to prevent fraud before it occurs.

Celebrus combines the power of comprehensive first-party identity technology with the addition of behavioral attributes and signals to detect anomalies and prevent fraud from all users, including anonymous ones.

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Instant alerts

Trip wires set alarms on known or sleeper mule accounts to catch them in the act.

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Anomaly tracking

Analyze data in real time to discover hidden patterns and identify anomalies at scale.

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Zero-delay data

Get frictionless, accurate data in real time, so you can react the moment a fraudster does.

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Behavioral biometrics

Build a scoring model based on your risk thresholds.

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Complete data ownership

Fully own your data while adhering to all global and privacy regulations.

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Reduce false positives

Celebrus Identity Graph enables instant identification, ensuring decisioning systems have the data needed to validate transactions, regardless of user authentication.

Celebrus outperforms where you need it most

Delayed Data

Most CDPs and fraud tools receive data in batches, meaning a fraudulent transaction or bot attack is often completed before your systems are even aware of it.

Identity Gaps

Without a true, real-time identity graph, your system can't connect a user's suspicious behavior across devices or sessions, preventing you from seeing the full picture of a potential fraud ring.

Incomplete Behavioral Data

Many tools only capture basic event data, missing the granular behavioral signals — like unusual keystroke patterns or mouse movements — that are often the most telling indicators of fraud.

Siloed Systems

Data remains trapped in different systems (e.g., website analytics, payment processors), making it difficult to analyze it as a single, cohesive narrative.

Celebrus results

$1m

in fraud losses were quickly uncovered and blocked with Celebrus’ advanced digital identity and monitoring.

5k+

fraudulent quotes were stopped before impacting customers, shielding the insurer from costly exposure.

30%

fewer false positives and 20% stronger fraud detection improved fraud team efficiency and overall customer trust in year one.

Instantly leverage our
out-of-the-box data model.

Deploy machine learning and data orchestration to immediately identify data outliers and detect anomalies across your digital channels.

Frictionless data capture and context for the entire journey across channels and devices for all users is essential for improved understanding and tracking of engagement, intent, and patterns.

The detection model and signals provide strategic insights into marketing improvements, while also alerting the business to unforeseen inconsistencies, such as significant drops in traffic.

In tandem, anomaly detection is an integral component of fraud prevention: using machine learning to detect inconsistencies and assess all transactions and data to spot potential fraud before it happens.

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Celbrus Identity Graph

Enables identification in milliseconds, ensuring decisioning systems have the data needed to validate transactions, regardless of user authentication.

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Instant Intervention

Discover hidden data patterns such as login failures, DDoS attacks, password harvesting, application failures, and bot attacks.

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Fit to Your Needs

Set acceptable ranges and outcomes to alert marketing and fraud teams about data anomalies that may signal fraud.

Celebrus gathers evidence from the first click.

Celebrus provides a clean, complete, and real-time customer profile, captured directly at the source, to power a range of critical fraud prevention use cases.

Use cases include behavioral biometrics, bot detection, anomaly detection, sense and trace, anonymized data collection, and compliance. Celebrus also specializes in real-time fraud detection, application fraud, account takeover fraud, payment fraud, bot and scam detection
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True Real-Time

We capture and deliver data with millisecond latency, not minutes or hours.

Persistent Identity

Our identity resolution works even for anonymous, unauthenticated, and same-session users, giving you a complete view from the first click.

Tagless Capture

We eliminate the need for manual tagging and tracking pixels, reducing implementation time and data governance headaches.

AI-Ready, Compliant Data

Our data is automatically structured for advanced analytics and machine learning, making it easy to create predictive models that inform your fraud strategy. And we have built-in compliance and full transparency for the strictest regulations.

Own Your Data: Built-in Compliance & Consent Management You Can Trust

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Take fraud detection to the next level.

Book a meeting to discuss how we can help solve your data challenges and get you to the next level of fraud prevention. Power your intelligence and decision-making with tech built for modern data science.