Fraud Detection

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There are 482 companies in the field of Fraud Detection on spotfolio that produce or deliver products, that utilize or research technologies or that are otherwise engaged in topics such as Fraud, Fraudsters, Data, Fraud-Detection, Fraud-Prevention, Risk, Detection, Fraudulent .

Start-ups (113)

Early-stage companies (165)

Established companies (174)

The majority of these companies is located in the following countries.

United States (204)

United Kingdom (38)

Israel (30)

India (26)

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Lizuna Lizuna G.K

start-up

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solutions costs between 1% and 3% per transaction. It's difficult to detect fraudulent orders with a basic knowledge data set. How Beacon works Two Step Verification ...

allows our system to better identify potential fraud orders. Submit Fraud Detection Software For Shopify Feel free to request a demo of our application ...

- API - Newsletter Beacon We help Shopify eCommerce merchant fight high risk fraud orders. Get Shopify App Request Demo Merchant Problem Losing your ...

orders with a basic knowledge data set. How Beacon works Two Step Verification. ✔︎ Passive verification using Big Data ✔︎ Active verification using Direct ...

- Newsletter Beacon We help Shopify eCommerce merchant fight high risk fraud orders. Get Shopify App Request Demo Merchant Problem Losing your product ...

allows our system to better identify potential fraud orders. Submit Fraud Detection Software For Shopify Feel free to request a demo of our application to

Service Privacy Policy Frequently Asked Question Can Beacon prevent 100% fraudulent orders? No, beacon does not guarantee every customer it scans will be ...

for VOIP, Landline, invalid - Understanding the SMS Status Column - High-Risk Signal icons Copy this text Done

Knowledge Customer Database Test Our API Get Free API Build your own fraud detection system to prevent fraudulant orders. Reduce the amount of chargebacks ...

Fight fraud with big data Try our phone number look up tool Extract and see additional data points behind any phone number. We use data to allow merchants ...

Newsletter Fraud prevention API using phone number look Go beyond Basic Knowledge Customer Database Test Our API Get Free API Build your own fraud detection ...

Knowledge Customer Database Test Our API Get Free API Build your own fraud detection system to prevent fraudulant orders. Reduce the amount of chargebacks for ...

EN - Articles - Documentations - Pricing - Home - API - Newsletter Fraud prevention API using phone number look Go beyond Basic Knowledge Customer Database

Rippleshot Rippleshot, Inc.

early-stage

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helping banks, merchants, and processors to proactively monitor suspicious fraudulent activity and implement smarter fraud risk management strategies when card

financial institutions with new accounts opened with stolen data. Potential fraudulent account openings using SSNs and other credentials stolen from the breach

Issuers - About Us - Careers - Press - Blog - Knowledge Center Fraud Detection and Prevention Market: Fraud Analytics Adoption Trends Posted by Anna ...

About Us - Careers - Press - Blog - Knowledge Center Fraud Detection and Prevention Market: Fraud Analytics Adoption Trends Posted by Anna Kragie on Aug ...

Issuers - About Us - Careers - Press - Blog - Knowledge Center Fraud Detection and Prevention Market: Fraud Analytics Adoption Trends Posted by Anna

new report shares deep insight into how the pandemic is driving the fraud detection and prevention market. The future of the financial services industry ...

report shares deep insight into how the pandemic is driving the fraud detection and prevention market. The future of the financial services industry is

to perpetrate fraud. An increase in digital access points has allowed fraudsters more channels to breach, allowing more sensitive personal data to be exposed

can proactively mitigate these risks. “Today, the real trend for both fraudsters and bank fraud managers is the use of technology to be more effective

incidents; 4x faster than CAMS and ADC alerts compromised merchants, cards at risk, and suspicious transactions with more frequency and higher accuracy. Reduce

Transactions Analysis Impact on Banks and Credit Unions Fraud Implications Risk Mitigations 2 About Rippleshot • Leading breach & cardcompromise fraud

Center White papers, research and presentations about payment card fraud and data breaches from the Rippleshot team. WEBINAR RECORDING: COVID-19 Impact on

Us - Careers - Press - Blog - Knowledge Center Rippleshot Blog Malware Data Breach Alert: Dickey's Barbecue Pit Posted by Anna Kragie on Oct 22, 2020

Center Fraud Detection Rule Writing Assessment: Measuring Your Effectiveness Posted by Anna Kragie on Aug 21, 2020 8:42:23 AM - Tweet Fraud analysts

officers, BSA/AML analysts/investigators, IT, cybersecurity units, fraud prevention units and legal departments. The latest alert follows an advisory posted

questions start by determining what tools can help credit unions boost fraud prevention performance. Read More 0 Comments Click here to read/write comments

FiVerity, Inc.

start-up

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criminal activity. This cobbling together of personal information makes the fraudulent activity difficult and time consuming to detect. Synthetic ID’s behave ...

flagged as suspicious using traditional fraud detection models. This allows fraudsters to cultivate these fake identities, build positive credit histories, and

criminal activity. This cobbling together of personal information makes the fraudulent activity difficult and time consuming to detect. Synthetic ID’s behave ...

Identity Fraud Synthetic Identity Fraud is the fastest-growing financial crime in the U.S. Payments System. SynthID™ Detect identifies fraud and cyber ...

other types of financial crimes. Testimonial “FiVerity’s approach to fraud prevention through machine learning is unlike other industry solutions. Fraud

Podcasts FiVerity interviewed by the MA Division of Banks For Cyber Fraud Detection By Jacqueline SeniOctober 20, 2020October 22nd, 2020No Comments Our

vulnerable position, but FiVerity.ai can help. We automate enhanced fraud detection using artificial intelligence with our solution, SynthID™ Detect. New

investment account, as soon as the money is moved, it’s also been laundered. Fraudsters take advantage of the open markets and the open systems. Let the FiVerity

topic that evokes strong opinions and viewpoints. As the scope for digital risk continues to expand, the question of how we build digital trust is critical ...

t Automation Data Ethics : With Great Power Comes Great Responsibility By FiVerityMarch 11, 2019October 20th, 2020No Comments Is data ethics an oxymoron

of their speed, accuracy and reduction of false positives and reputational risk. It is an exciting time for industry to see progress with Congress and regulators ...

Crime Detection By FiVerityNovember 8, 2019October 22nd, 2020No Comments A milestone has been reached in modernizing financial crime detection! On October

Intelligent Automation Data Ethics : With Great Power Comes Great Responsibility Is data ethics an oxymoron? The big data debate remains a hot one as

FiVerity Joins Federal Reserve Synthetic Identity Fraud Focus Group 23 Oct 2020 <p>FiVerity CEO Greg Woolf is honored to be selected as an expert in the ...

Cyber Fraud Detection 20 Oct 2020 <p>The post <a rel="nofollow" href="">FiVerity interviewed by the MA Division of Banks For Cyber Fraud Detection</a> appeared

onboarding processes to accelerate customer growth. “FiVerity’s approach to fraud prevention through machine learning is unlike other industry solutions, by leveraging

Fraud.net

early-stage

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analysis and scoring features. 50% Reduce your site's malicious bot and fraudulent transaction activity. 24% Increase your customer trust, brand safety

confirmation, so as to cover up the fact that the first transaction was actually fraudulent. Conflict of Interest Conflict of Interest or COI is a situation where

2.5 billion ‘unbanked’ own a mobile phone Mobile Commerce Mobile Fraud Detection Fast Growing Fraud Threat Mobile Fraud Prevention The Challenge

fraud loss of fraudsters exploiting gaps in controls vs the average loss from identity theft Performance Exploiting the Gaps Fraudsters often exploit

cross-industry, cross-border collaboration at a scale that businesses (and fraudsters) have not yet experienced. Learn More #benefits Recommended Products

Intelligence - Marketing Intelligence - Authentication Services - Continuous Risk Monitoring - Login Scoring - Multi-factor Authentication - Solutions

Intelligence - Marketing Intelligence - Authentication Services - Continuous Risk Monitoring - Login Scoring - Multi-factor Authentication - Solutions

Products - Products - AI & Machine Learning - Analytics & Reporting - Data Mining - Device Shield - Rules & Workflows - 3rd Party Integrations -

Products - Products - AI & Machine Learning - Analytics & Reporting - Data Mining - Device Shield - Rules & Workflows - 3rd Party Integrations -

Takeover - Application Fraud - Call Center Fraud - Chargeback Protection - Collusion - Gift Card, Loyalty and Rewards Fraud - Insider Threats - KYC

Takeover - Application Fraud - Call Center Fraud - Chargeback Protection - Collusion - Gift Card, Loyalty and Rewards Fraud - Insider Threats - KYC ...

customer challenges. Case Study: Leading Bank Streamlines and Modernizes Fraud Prevention Case Study: Reducing Fraud for a Top-5 Online Travel Agency Case Study:

Fact Sheet: Fraud Detection for Banks Learn how Fraud.net solves for fraud across the entire customer banking… Fact Sheet: Fraud Detection for E-Commerce

customers with even greater convenience and speed. /i/e-commerce/ Anomaly Detection A big part of building a threat intelligence program is identifying anomalies

from 600 million 20 years earlier Travel & Hospitality Online Travel Fraud Prevention High-Value Tickets, Low-Margin Sector Global, Fast Moving Fraud

Ravelin Ravelin Ltd.

early-stage

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essentially a number between 0-100. This score portrays our estimate of how fraudulent a customer is. To score a customer, we extract hundreds of signals about

marketplaces, such as couriers/delivery services and ridesharing apps. Fraudulent behavior from suppliers can have as high a cost as card-not-present (CNP)

reputational risk PSD2 & SCA 3D Secure, TRA & exemptions Machine learning for fraud detection Models, risk scores & thresholds Link analysis & graph networks Draw

reputational risk PSD2 & SCA 3D Secure, TRA & exemptions Machine learning for fraud detection Models, risk scores & thresholds Link analysis & graph networks Draw ...

scores & thresholds Link analysis & graph networks Draw deeper insights from data Global payment regulation map Track PSD2 & more with a full report - Resources

how does it actually work? Ravelin Protect expert Katrina explains how fraudsters manage to successfully do an account takeover. Unfortunately, it’s a lot

partner programme Log in Contact us Blog / fraud analytics Six common fraudsters and how they operate Ravelin’s Director of Intelligence & Investigations

discuss entering high-risk markets with limited user data Anna Collier, Fraud Lead at Marshmallow, shares experience of entering high-risk markets through joining

Prevention strategies & reputational risk PSD2 & SCA 3D Secure, TRA & exemptions Machine learning for fraud detection Models, risk scores & thresholds Link analysis

Data Science Best Practices Run your data science team like an engineering team Leonard Austin Follow Aug 16, 2019 · 14 min read > We believe that data

logo - Solutions Fraud Solution Suite Fraud prevention using machine learning, graph networks & rules engine. Online payment fraud Fraud networks and organized

logo - Solutions Fraud Solution Suite Fraud prevention using machine learning, graph networks & rules engine. Online payment fraud Fraud networks and organized

key industry groups Online payment fraud Understand chargebacks, fees & detection Account takeover fraud Prevention strategies & reputational risk PSD2

key industry groups Online payment fraud Understand chargebacks, fees & detection Account takeover fraud Prevention strategies & reputational risk PSD2

Ravelin logo - Solutions Fraud Solution Suite Fraud prevention using machine learning, graph networks & rules engine. Online payment fraud Fraud networks

Ravelin logo - Solutions Fraud Solution Suite Fraud prevention using machine learning, graph networks & rules engine. Online payment fraud Fraud networks

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