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Effective URL: https://fraud.net/solutions/ai-machine-learning/?utm_campaign=Website%20Visitors%20-%20Opensend&utm_medium=email&_...
Submission: On October 16 via api from ES — Scanned from ES
Effective URL: https://fraud.net/solutions/ai-machine-learning/?utm_campaign=Website%20Visitors%20-%20Opensend&utm_medium=email&_...
Submission: On October 16 via api from ES — Scanned from ES
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<p>Your Rights as a Data Subject:<br>
<br> By law, you can ask us what information we hold about you, and you can ask us to correct it if it is inaccurate. If we have asked for your consent to process your personal data, you may withdraw that consent at any time. If we are
processing your personal data for reasons of consent or to fulfill a contract, you can ask us to give you a copy of the information in a machine-readable format so that you can transfer it to another provider. If we are processing your
personal data for reasons of consent or legitimate interest, you can request that your data be erased. You have the right to ask us to stop using your information for a period of time if you believe we are not doing so lawfully. Finally,
in some circumstances, you can ask us not to reach decisions affecting you using automated processing or profiling.<br>
<br> To submit a request regarding your personal data by email, post or telephone, please use the contact information provided below in the "Accessing and Correcting Your Information" section of this policy.<br>
<br> Your Right to Complain:<br>
<br> If you have a complaint about our use of your information, we would prefer you to contact us directly in the first instance so that we can address your complaint. However, you can also contact the Information Commissioner’s Office
via their website at www.ico.org.uk/concerns or write to them at:<br>
<br> Information Commissioner’s Office<br> Wycliffe House<br> Water Lane<br> Wilmslow<br> Chesire<br> SK9 5AF<br>
<br> Accessing and Correcting Your Information:<br>
<br> If you want Fraud.net to correct your Information that is stored on Fraud.net systems, please submit your request in writing to:<br>
<br> Fraud.net Inc.<br> Attn: Legal Department<br> 330 7th Avenue<br> New York, NY 10001<br> legal@fraud.net<br>
<br> Subject to our ability to verify your request, Fraud.net will correct the Information within thirty (30) days of receipt of your request.
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POWERFUL TECHNOLOGY. IMPRESSIVE RESULTS. Fraud detection with machine learning is a potent weapon against deceptive strategies in various industries. Equip your business with the world’s leading AI-powered fraud detection platform to combat malicious actors effectively. Combine your data with our powerful custom Machine Learning Models to generate more accurate outcomes, and fewer false positives and solve your organization’s unique challenges. INCREASE APPROVALS REDUCE FALSE POSITIVES DECREASE FRAUD AUTOMATE WORKFLOWS MAKE INFORMED, INTELLIGENT DECISIONS – FASTER Fraud.net’s AI for fraud detection and machine-learning models use deep learning, neural networks, and proprietary data science methodology to provide our partners with: REAL-TIME RISK SCORES Quantify the relative risk of fraudulent activity for any event, scored on a scale of 1 to 99. CLEAR EXPLAINABILITY Understand the most powerful factors driving your model’s risk score so you can make more informed decisions and take the right next step. CONTINUOUS MONITORING Guard against model degradation and drift as customer patterns evolve & market conditions change. OPTIMIZE YOUR FRAUD PREVENTION WORKFLOWS With Fraud.net’s robust fraud detection with machine learning, you can: * Make Data-Driven Decisions * Explain Your Model * Streamline Your Investigations * Flag Sophisticated Patterns Of Fraud MAKE DATA-DRIVEN DECISIONS Quantify the relative risk of fraud for every event, scored on a scale of 1 to 99, and translate it into action. EXPLAIN YOUR MODEL Understand the most powerful factors driving your model’s risk scores so you can make more informed decisions and take the right next step. STREAMLINE YOUR INVESTIGATIONS Auto-approve low-risk activities, while auto-canceling the riskiest ones to reduce the number of cases your fraud analysts manually review. FLAG SOPHISTICATED PATTERNS OF FRAUD Manual reviews can miss fraud when too subtle to be detected by the human eye. CASE STUDY: BANK AUTOMATES FRAUD INVESTIGATIONS, ACCELERATES COST-SAVINGS For years, a leading global bank relied on a 24/7 team of fraud investigators to personally assess more than 12,000 credit and debit card transactions each month. Our AI for fraud detection software halved the total number of transactions sent for manual evaluation by flagging only the riskiest transactions for further investigation. Here are just a few of the remarkable results of Fraud.net’s cutting-edge fraud detection AI: THE RESULT: 99.5%+ ACCURATE Risk-score Predictions 66% REDUCTION in Fraud Investigation Hours 4X INCREASE in the Amount of Fraud Proactively Detected 5X INCREASE in Annual Savings from Reduced Fraud Losses & Efficiency Gains. ” WE WANTED TO MAKE SURE WE WERE USING ALL THE TOOLS AVAILABLE IN THE INDUSTRY, SO WE MADE THE JUMP TO FRAUD.NET’S MACHINE LEARNING. THERE’S JUST A LOT OF DATA THAT A COMPUTER CAN ANALYZE THAT MY CLIENTS CAN’T.” CONTAIN YOUR FRAUD. UNLOCK YOUR GROWTH. CASE MANAGEMENT ANALYTICS & REPORTING COLLECTIVE INTELLIGENCE APPSTORE INTERESTED IN LEARNING MORE? See Our Technology in Action. REQUEST A DEMODOWNLOAD FACT SHEET PRODUCTS * Application AI™ * Transaction AI™ * Login AI™ * Account AI™ * Device AI™ * Email AI™ SOLUTIONS * Application Fraud * Chargeback Protection for Merchants * Gift Card, Loyalty & Rewards Fraud * KYC / AML * Marketing & Affiliate Fraud * Payment Fraud * See All INDUSTRIES * Banking * Fintech * ECommerce * Government * Marketplaces * Mobile * Travel * See All COMPANY * About Us * Newsroom * Awards and Recognition * Partners * Follow Us * Request a Demo * Contact Us STAY INFORMED Our newsletter provides insights, news, tips and more for Fraud, Risk, Payment and Security Professionals. Copyrights © 2023 All Rights Reserved by Fraud.net Inc. Terms of Use | Privacy Policy | Security & Compliance | CSR & ESG Statement <`img src="https://tracking.g2crowd.com/attribution_tracking/conversions/000.gif?e='g2'/> Our site uses cookies so that we can remember you and understand how you use our site. By accepting you agree to the use of the cookies as they are currently set. Privacy Preferences I Agree PRIVACY PREFERENCE CENTER PRIVACY PREFERENCES Your Rights as a Data Subject: By law, you can ask us what information we hold about you, and you can ask us to correct it if it is inaccurate. If we have asked for your consent to process your personal data, you may withdraw that consent at any time. If we are processing your personal data for reasons of consent or to fulfill a contract, you can ask us to give you a copy of the information in a machine-readable format so that you can transfer it to another provider. If we are processing your personal data for reasons of consent or legitimate interest, you can request that your data be erased. You have the right to ask us to stop using your information for a period of time if you believe we are not doing so lawfully. Finally, in some circumstances, you can ask us not to reach decisions affecting you using automated processing or profiling. To submit a request regarding your personal data by email, post or telephone, please use the contact information provided below in the "Accessing and Correcting Your Information" section of this policy. Your Right to Complain: If you have a complaint about our use of your information, we would prefer you to contact us directly in the first instance so that we can address your complaint. However, you can also contact the Information Commissioner’s Office via their website at www.ico.org.uk/concerns or write to them at: Information Commissioner’s Office Wycliffe House Water Lane Wilmslow Chesire SK9 5AF Accessing and Correcting Your Information: If you want Fraud.net to correct your Information that is stored on Fraud.net systems, please submit your request in writing to: Fraud.net Inc. Attn: Legal Department 330 7th Avenue New York, NY 10001 legal@fraud.net Subject to our ability to verify your request, Fraud.net will correct the Information within thirty (30) days of receipt of your request. Privacy Policy We are happy to help 1 Fraud.net Representative × Get a call now from one of our fraud specialists. It's free! 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Fraud.net / Representative Enter your number (The call is free) * Sweden (Sverige)+46 * Norway (Norge)+47 * United Arab Emirates (الإمارات العربية المتحدة)+971 * Russia (Россия)+7 * * Afghanistan (افغانستان)+93 * Albania (Shqipëri)+355 * Algeria (الجزائر)+213 * American Samoa+1 * Andorra+376 * Angola+244 * Anguilla+1 * Antigua and Barbuda+1 * Argentina+54 * Armenia (Հայաստան)+374 * Aruba+297 * Ascension Island+247 * Australia+61 * Austria (Österreich)+43 * Azerbaijan (Azərbaycan)+994 * Bahamas+1 * Bahrain (البحرين)+973 * Bangladesh (বাংলাদেশ)+880 * Barbados+1 * Belarus (Беларусь)+375 * Belgium (België)+32 * Belize+501 * Benin (Bénin)+229 * Bermuda+1 * Bhutan (འབྲུག)+975 * Bolivia+591 * Bosnia and Herzegovina (Босна и Херцеговина)+387 * Botswana+267 * Brazil (Brasil)+55 * British Indian Ocean Territory+246 * British Virgin Islands+1 * Brunei+673 * Bulgaria (България)+359 * Burkina Faso+226 * Burundi (Uburundi)+257 * Cambodia (កម្ពុជា)+855 * Cameroon (Cameroun)+237 * Canada+1 * Cape 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