Enterprise Fraud Detection & Prevention Suite
AI Fraud Detection API software to protect your business at the point of collection. The Veryfi API deploys advanced vision, device and data models to catch fraudulent documents as they enter your system while leveraging device fingerprinting to identify and block repeat offenders, protecting your systems from risk and financial losses.
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What is Fraud Detection?
Fraud detection identifies and blocks fraudulent activity by analyzing documents in real-time during submission or onboarding. AI-powered systems scan for suspicious patterns and anomalies across every industry—fintech, banking, retail, and beyond—catching fraudulent events before they cause financial damage or destroy customer trust. The technology relies on machine learning algorithms like convolutional neural networks (CNNs), logistic regression, and isolation forests that learn from data to spot fraud. These algorithms analyze document authenticity, user behavior, and submission patterns to identify inconsistencies that signal fraudulent intent. Best-in-class solutions like Veryfi’s deploy a tri-model system combining vision, device, and data models to generate multiple fraud signals and calculate document authenticity with precision.
Prevention beats detection every time. While detection catches fraud as it happens, prevention stops it before it starts—eliminating threats at the source and minimizing exposure to financial loss and reputational damage across your organization. Fraudsters evolve constantly, inventing new schemes to steal money, compromise data, or exploit system vulnerabilities. Static fraud prevention systems become obsolete quickly, leaving organizations vulnerable to emerging attack vectors. Effective prevention requires adaptive technology that learns from new fraud patterns and updates defenses automatically without requiring manual intervention. Veryfi’s Enterprise Fraud Detection & Prevention Suite delivers exactly that—layered protection through integrated vision, data, and device models, plus automatic access to every new fraud signal we develop as threats emerge.
54% of organizations never recover fraud losses. When the damage is done, recovery is unlikely. You mush catch it upfront.
Upstream Fraud Prevention is Key
How It Works
Catch Document Fraud in Real-Time
Veryfi Fraud Prevention Suite provides a sophisticated layer of protection that works alongside our core data extraction API. This comprehensive solution helps businesses identify potentially fraudulent documents before they enter your workflow, saving time and preventing financial loss.
Our multi-layered system employs a diverse set of signals and triggers to analyze each submission from multiple angles – from device-level patterns that identify suspicious user behavior to detailed document forensics that spot visual manipulations. The system returns clear color-coded results (Green, Yellow, Red) based on customizable thresholds, making it easy to automate.
Veryfi Fraud Detection Suite includes:
PDF and Digital Document Analysis
Image Forensics
Text and Typography Analysis
Physical Document Forensics
Advanced Technical Methods
Cross-Reference Validation
Stop GenAI Created Documents
Veryfi’s API delivers lightning-fast detection of AI-generated documents. Our advanced detection system instantly identifies synthetic documents created by leading AI platforms including ChatGPT, Stable Diffusion, MidJourney, GANs, and DALL-E.
What sets us apart? While competitors rely on basic metadata analysis that can be easily bypassed, our proprietary machine learning model performs deep structural analysis of document content. This comprehensive approach ensures reliable detection of even the most sophisticated AI-generated forgeries, giving you confidence in document authenticity verification.
Trust But Veryfi
Fraud can happen to anyone—no one is immune. Technology makes detecting it simpler, faster, and more accurate. When Veryfi’s executive team traveled to Canada, we used our own platform to track all expenses. That’s when we discovered it: fraudulent charges from a restaurant inside our hotel, One King West.
Layers of Protection Against Fraud
Layer 1: Basic Document Validation
Layer 2: Content Integrity Analysis
Layer 3: Behavioral & Pattern Analysis
Layer 4: Device & Identity Verification
… and many more.
Veryfi Catches Fraud in Real-Time
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Veryfi’s Fraud Prevention system uses advanced computer vision and machine learning to identify manipulated photos in real-time. For digital alterations, it employs error level analysis, noise detection, and deep learning to spot pixel irregularities and metadata anomalies. Physical manipulations are detected through adaptive thresholding and forensic analysis of handwriting and ink properties. The system cross-references findings against a database of known fraud patterns, enabling robust detection of both subtle and overt manipulations across various document types, countering sophisticated fraud attempts in real-time.
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Manipulated Handwriting
Veryfi’s Fraud Prevention system uses advanced image processing and machine learning to identify manipulated handwriting in real-time. It analyzes stroke consistency, pressure variations, and ink properties through contour analysis and spectral techniques. The system employs Natural Language Processing to detect semantic inconsistencies. By comparing features against genuine samples and known fraud patterns, it can identify various handwriting manipulations, from simple additions to complex forgeries, ensuring real-time document integrity.
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AI Generated Documents
With the rise of AI-generated fraud, now is the best time to act and protect your business. Veryfi’s API can sniff out those digitally concocted receipts faster than you can say “expense reimbursement.” Whether it’s a ChatGPT masterpiece, a Stable Diffusion creation, MidJourney magic, GAN trickery, or a DALL-E special – our AI detective is on it. Read More
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Duplicate Documents
Fraud Intelligence employs sophisticated algorithms to analyze image similarity and text content, enabling it to identify duplicate submissions of previously processed documents. This system not only detects current instances of fraud but also proactively mitigates future risks associated with each unique fraud case. The technology utilizes a meta.is_duplicate field to flag and track these duplicate entries. This approach ensures a comprehensive defense against both repeated and evolving fraud attempts, enhancing overall security and integrity in document processing.
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Document Velocity Analysis
Veryfi’s Fraud Intelligence incorporates Document Velocity analysis to detect suspicious submission patterns in real-time. This feature monitors the frequency and volume of document submissions from individual devices across various timeframes. By employing statistical modeling and machine learning algorithms, the system identifies abnormal spikes or consistently high submission rates from specific sources. Such elevated velocity is a strong indicator of fraudulent activity, with nearly 100% correlation to fraud attempts. This proactive approach allows for immediate flagging of potentially fraudulent submissions, enabling swift intervention and significantly reducing the risk of large-scale fraud operations.
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LCD Screen Capture Detection
As printer use declines, a new form of digital manipulation is emerging. Fraudsters are using Photoshop to alter documents, then capturing images of these altered documents displayed on LCD screens. This method involves taking pictures of desktop monitors, tablets, or phone screens. However, there’s no need for concern. Veryfi’s Fraud Detection technology can analyze these photos to determine whether they originate from a digital display rather than a genuine physical document. This capability helps maintain document integrity in an increasingly digital world.
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Fraud History Analysis
Veryfi’s Fraud Intelligence utilizes Fraud History Analysis for enhanced real-time detection. It maintains a dynamic database of past fraudulent activities, cross-referencing incoming documents against this data using machine learning. The system identifies similarities to known fraud cases in content, structure, or metadata. This approach flags potential repeat offenders and recognizes evolving tactics based on historical trends, providing adaptive protection against both recurring and novel fraud attempts.
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and many more signals..
Contact [email protected] to learn how Veryfi can help you stop fraud in real-time.
