Financial Fraud

DataVisor helps financial institutions fight application fraud, transaction fraud, account takeover and more. DataVisor’s industry-leading Unsupervised Machine Learning Engine detects new, changing attack patterns proactively, without labels or training data, reducing financial losses and improving customer experience.

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Stop Sophisticated Attacks with Unsupervised Machine Learning

Application Fraud

Catch fraudulent applications created with stolen or synthetic identity information in real time.

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Transaction Fraud

Predict and prevent fraudulent transactions by detecting suspicious crime rings early.

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Account Takeover

Detect the earliest signs of account compromise to prevent damage and improve customer experience.

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Learn How Customers Have Benefited from DataVisor Solutions


DataVisor Uses Unsupervised Machine Learning to Stop Application Fraud at a F500 Bank

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Top Financial Institution Uses DataVisor UML Solution to Fight Fraudulent Transactions

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Top Online Payments Platform Uses UML to Stop Account Take Over

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Customer and Partner Successes

“Experian is pleased to partner with DataVisor to enhance our CrossCore platform and offer our clients a leading Unsupervised Machine Learning fraud detection solution to prevent fraud from coordinated, sophisticated, and unknown attacks.”

– Paul Gilmore, Vice President Global Partnerships and Alliances | Experian

“As a major global financial institution, we are a prime target for cyber attacks that steal the most liquid of assets: cash. DataVisor has detected fraudsters hours if not days before they attack and reduced fraudulent transaction damage by over 30%.”

– Director of Fraud and Risk Strategy | Fortune 500 Financial Institution

Key Benefits

increase in detection coverage

Detect more high-risk accounts by automatically uncovering new, changing attack techniques.

accuracy rates

Dramatically reduce false positives by analyzing all of your accounts and events at once.

72 Hours Earlier
detection than previous solutions

Catch incubating accounts before they strike by analyzing the hidden connections between them.

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Why Today’s Machine Learning Fraud Detection In Financial Institutions Falls Short

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Learn about how DataVisor protects financial institutions from fraudulent transactions and account openings

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The DataVisor Detection Solution

Unsupervised Machine Learning Engine

Predict new, unknown threats without labels or training data by analyzing hundreds of millions of accounts and events simultaneously using the industry’s most advanced unsupervised learning technology.

Supervised Machine Learning Engine

Use industry leading supervised machine learning algorithms to augment the unsupervised machine learning detection with client-provided labels.

Automated Rules Engine

Generate and deprecate rules automatically, lowering maintenance costs and improving results explainability.

DataVisor Global Intelligence Network

Aggregate and analyze the industry’s broadest array of digital fingerprints and signals from billions of users across a variety of industries.

Account linkage view to discover hidden links among malicious accounts

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What’s Happening in Financial Fraud


The Changing Tide of Financial Fraud

As you brace yourself for the coming wave of fraudsters, it is important to understand how this modern adversary behaves and make sure your defenses are up to date. Gone are the days where a single attacker uses a single stolen credit card to make a quick score. Financial fraud has become a professional enterprise, with a complete ecosystem of fraud-as-a-service stealing over $16B per year.

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Account Takeover Fraud: The Anatomy of an ATO Attack

We expect account takeover fraud (ATO fraud) will continue to rise as more and more data breaches occur each month. Cybercriminals put the work into stealing your data, now it’s time to put that data to work to catch them.

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Bad Account Opening: Fake Accounts and Real Big Trouble

Wells, wells, wells, what do we have here? Last week the news broke that Wells Fargo had “been hit with $185 million in civil penalties for secretly opening millions of unauthorized deposit and credit card accounts that harmed customers,” and the backlash caused by the account opening has been harsh.

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Read DataVisor’s Latest Posts

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Getting Started

Request a security assessment today to learn how DataVisor can help find malicious accounts hiding inside your financial institution.

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