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DATAVISOR.COM
BOT ATTACKS, AND ONE AIRLINE’S BATTLE TO DEFEAT THEMSEE MORE ONDATAVISOR.COM
DEVICE EMULATORS » DATAVISORSEE MORE ON DATAVISOR.COM HOW TO FIND "MONEY MULES" WITH MACHINE LEARNING FRAUD One common method on the rise is using so-called “money mules” to help facilitate transactions in hopes of keeping their money movements under the radar. COVID-19 has further increased the demand for money mules as crime never takes a holiday, even during a crisis. In response, financial institutions should explore the advantages ofmachine
MONEY LAUNDERING TECHNIQUES Regardless of the reason why, the operational steps of money-laundering techniques involve three stages: Movement – Move the funds away from explicit connection to the illegal activity. Disguise – Obscure the money audit trail and sever the link to the original crime. Return – Reunite the money with the owner from whatappears to be
HOW TO REGISTER MILLIONS OF FAKE ACCOUNTS WITH EASE The distribution of the human labor force at one captcha-solving service, AntiGate.com. To make it even easier for attackers, there are all-in-one account creator software that automates all of the above for you, such as the $2,500 (two PC license) deal from spamvilla.com, and “click farms” where fake accounts are registered manually and WHAT IS BUYER-SELLER COLLUSION? » DATAVISOR DIGITAL FRAUD WIKI Buyer-Seller Collusion is a specific example of a broader fraud category known as Collusion Fraud. Collusion fraud occurs anytime two entities within an organization or defined ecosystem conspire to commit fraudulent actions. Collusion commonly occurs in the workplace, in the insurance sector, and in markets where two or more entitiesagree to
FRAUD & RISK DETECTION Fraud & Risk Detection - AI and ML Powered - DataVisor. Comprehensive SaaS Solutions for. Fraud and Risk Management. DataVisor protects the world's largest enterprises from online fraud, digital risks, and sophisticated attacks with a transformational AI-powered platform. Give your organization the peace of mind that comes with comprehensive CUSTOMERS » DATAVISOR Our Customers. DataVisor is proud to protect the largest and most successful companies in the world from new and emerging fraud attacks. DataVisor currently protects more than 4.2B global user accounts. NEW FRAUD RESEARCH REVEALS TRENDS TO WATCH IN 2021 » DATAVISOR New Fraud Research Reveals Trends to Watch in 2021. The global pandemic that dominated most of 2020 served as a valuable reminder that fraud is a constantly evolving mechanism. Companies across industries and sizes had to be wary of fraudulent activities and transactions, specifically across digital channels since many in-person interactions APPLICATION FRAUD: KEY TRENDS IN 2021 AND THE NEED FORSEE MORE ONDATAVISOR.COM
BOT ATTACKS, AND ONE AIRLINE’S BATTLE TO DEFEAT THEMSEE MORE ONDATAVISOR.COM
DEVICE EMULATORS » DATAVISORSEE MORE ON DATAVISOR.COM HOW TO FIND "MONEY MULES" WITH MACHINE LEARNING FRAUD One common method on the rise is using so-called “money mules” to help facilitate transactions in hopes of keeping their money movements under the radar. COVID-19 has further increased the demand for money mules as crime never takes a holiday, even during a crisis. In response, financial institutions should explore the advantages ofmachine
MONEY LAUNDERING TECHNIQUES Regardless of the reason why, the operational steps of money-laundering techniques involve three stages: Movement – Move the funds away from explicit connection to the illegal activity. Disguise – Obscure the money audit trail and sever the link to the original crime. Return – Reunite the money with the owner from whatappears to be
HOW TO REGISTER MILLIONS OF FAKE ACCOUNTS WITH EASE The distribution of the human labor force at one captcha-solving service, AntiGate.com. To make it even easier for attackers, there are all-in-one account creator software that automates all of the above for you, such as the $2,500 (two PC license) deal from spamvilla.com, and “click farms” where fake accounts are registered manually and WHAT IS BUYER-SELLER COLLUSION? » DATAVISOR DIGITAL FRAUD WIKI Buyer-Seller Collusion is a specific example of a broader fraud category known as Collusion Fraud. Collusion fraud occurs anytime two entities within an organization or defined ecosystem conspire to commit fraudulent actions. Collusion commonly occurs in the workplace, in the insurance sector, and in markets where two or more entitiesagree to
APPLICATION FRAUD: KEY TRENDS IN 2021 AND THE NEED FOR Application Fraud: Key Trends in 2021 and the Need for Multi-Layered Protection. For many financial institutions (FIs) using the “If it’s not broken, don’t fix it” approach to fraud, 2020 is the year it finally broke. With application fraud on the rise, it’s important for banks to understand that technology is both the catalystfor
KEY TRENDS DRIVING AML COMPLIANCE TRANSFORMATION IN 2021 Key Trends Driving AML Compliance Transformation in 2021. In 2020, AML professionals faced a perfect storm: a tumultuous business landscape, millions of dollars in government relief, and a general vibe of uncertainty. In dark times, fraudsters are eager to capitalize on the chaos and slip under the radar for their own financial gain. HOW TO IDENTIFY AND MONITOR THE RISKS OF PPP LOAN FRAUD DataVisor’s machine learning is being used to monitor PPP loan fraud and respond to red flags in real-time. For example, the machine learning solution can help to identify applicants that were not in business at the designated PPP date (February 15, 2020) or not aligned with their typical payroll costs or business size. DEVICE EMULATORS » DATAVISOR What is a Device Emulator? A device emulator is software that creates a virtual simulation of a computer environment, hardware, operating system, or CPU. Fraudsters use device emulators to create many synthetic devices (usually smartphones) that run on and are controlled from a single computer en masse. MONEY LAUNDERING TECHNIQUES Regardless of the reason why, the operational steps of money-laundering techniques involve three stages: Movement – Move the funds away from explicit connection to the illegal activity. Disguise – Obscure the money audit trail and sever the link to the original crime. Return – Reunite the money with the owner from whatappears to be
HOW CAN AI FRAUD DETECTION HELP THE BANKING INDUSTRY Recent data found that 63% of financial institutions believe that AI can prevent fraud, while 80% agree that AI plays a critical role in reducing fraudulent payments and attempts to commit fraud. Machine learning technology can be deployed across multiple channels (e.g. transactions, loan applications, etc.) in the banking industry. 4 WAYS TO PROTECT YOUR LOYALTY PROGRAM FROM FRAUD » DATAVISOR Here are some ways you can protect your loyalty program from fraud, along with your profits and reputation. 1. Build Richer User Identities. The more you know about each customer, the better you can compare profiles and weed out the duplicates. For example, you might have multiple email addresses trying to claim the same reward, buteach one
STRIKING A BALANCE BETWEEN FRAUD PREVENTION AND GREAT Though many businesses expect to absorb the costs of some fraud, it’s important to realize that this isn’t the only option. DataVisor’s comprehensive fraud prevention platform is helping companies to walk the line between robust fraud detection and a frictionless customer experience. By improving detection rates in real-time on a broader QUANTIFYING CLUSTER QUALITY WITH UNSUPERVISED MACHINE Unsupervised machine learning (UML) is one of the essential components of DataVisor’s approach to proactive fraud discovery. Because UML can start producing results quickly and accurately—as it doesn’t require historical labels, lengthy training times, or frequent re-tuning—our solutions can surface patterns that indicate coordinated activity before attacks actually launch, SR 11-7 COMPLIANCE: 3 CORE ELEMENTS FOR MODEL VALIDATION SR 11-7 Compliance: 3 Core Elements for Model Validation. An SR 11-7 compliant validation framework includes 3 core elements: an evaluation of conceptual soundness, ongoing monitoring, and outcomes analysis. Model validation is a defined set of processes and activities intended to verify that models are performing as expected, aligned with FRAUD & RISK DETECTION Fraud & Risk Detection - AI and ML Powered - DataVisor. Comprehensive SaaS Solutions for. Fraud and Risk Management. DataVisor protects the world's largest enterprises from online fraud, digital risks, and sophisticated attacks with a transformational AI-powered platform. Give your organization the peace of mind that comes with comprehensive BUSINESS FRAUD PREVENTION The DataVisor approach combines applied machine learning capabilities with powerful investigative workflows and an intelligence network of more that 4B user accounts to provide real-time fraud signals, insights, and protection to preserve vital trust and security. CUSTOMERS » DATAVISOR Our Customers. DataVisor is proud to protect the largest and most successful companies in the world from new and emerging fraud attacks. DataVisor currently protects more than 4.2B global user accounts. NEW FRAUD RESEARCH REVEALS TRENDS TO WATCH IN 2021 » DATAVISOR New Fraud Research Reveals Trends to Watch in 2021. The global pandemic that dominated most of 2020 served as a valuable reminder that fraud is a constantly evolving mechanism. Companies across industries and sizes had to be wary of fraudulent activities and transactions, specifically across digital channels since many in-person interactions INSURANCE » DATAVISOR Auto Insurance. Safeguard car insurance providers from personal and commercial vehicle fraud, promotion abuse, false claims, agent fraud with DataVisor’s proprietary machine learning, rules and Global Intelligence Network. Enhance operational efficiency by 10-100x with linkage analysis, auto detection and bulk actions. HOW TO FIND "MONEY MULES" WITH MACHINE LEARNING FRAUD One common method on the rise is using so-called “money mules” to help facilitate transactions in hopes of keeping their money movements under the radar. COVID-19 has further increased the demand for money mules as crime never takes a holiday, even during a crisis. In response, financial institutions should explore the advantages ofmachine
HOW CAN AI FRAUD DETECTION HELP THE BANKING INDUSTRYSEE MORE ONDATAVISOR.COM
SR 11-7 COMPLIANCE: 3 CORE ELEMENTS FOR MODEL VALIDATION SR 11-7 Compliance: 3 Core Elements for Model Validation. An SR 11-7 compliant validation framework includes 3 core elements: an evaluation of conceptual soundness, ongoing monitoring, and outcomes analysis. Model validation is a defined set of processes and activities intended to verify that models are performing as expected, aligned with WHAT IS BUYER-SELLER COLLUSION? » DATAVISOR DIGITAL FRAUD WIKI Buyer-Seller Collusion is a specific example of a broader fraud category known as Collusion Fraud. Collusion fraud occurs anytime two entities within an organization or defined ecosystem conspire to commit fraudulent actions. Collusion commonly occurs in the workplace, in the insurance sector, and in markets where two or more entitiesagree to
BOT ATTACKS, AND ONE AIRLINE’S BATTLE TO DEFEAT THEMSEE MORE ONDATAVISOR.COM
FRAUD & RISK DETECTION Fraud & Risk Detection - AI and ML Powered - DataVisor. Comprehensive SaaS Solutions for. Fraud and Risk Management. DataVisor protects the world's largest enterprises from online fraud, digital risks, and sophisticated attacks with a transformational AI-powered platform. Give your organization the peace of mind that comes with comprehensive BUSINESS FRAUD PREVENTION The DataVisor approach combines applied machine learning capabilities with powerful investigative workflows and an intelligence network of more that 4B user accounts to provide real-time fraud signals, insights, and protection to preserve vital trust and security. CUSTOMERS » DATAVISOR Our Customers. DataVisor is proud to protect the largest and most successful companies in the world from new and emerging fraud attacks. DataVisor currently protects more than 4.2B global user accounts. NEW FRAUD RESEARCH REVEALS TRENDS TO WATCH IN 2021 » DATAVISOR New Fraud Research Reveals Trends to Watch in 2021. The global pandemic that dominated most of 2020 served as a valuable reminder that fraud is a constantly evolving mechanism. Companies across industries and sizes had to be wary of fraudulent activities and transactions, specifically across digital channels since many in-person interactions INSURANCE » DATAVISOR Auto Insurance. Safeguard car insurance providers from personal and commercial vehicle fraud, promotion abuse, false claims, agent fraud with DataVisor’s proprietary machine learning, rules and Global Intelligence Network. Enhance operational efficiency by 10-100x with linkage analysis, auto detection and bulk actions. HOW TO FIND "MONEY MULES" WITH MACHINE LEARNING FRAUD One common method on the rise is using so-called “money mules” to help facilitate transactions in hopes of keeping their money movements under the radar. COVID-19 has further increased the demand for money mules as crime never takes a holiday, even during a crisis. In response, financial institutions should explore the advantages ofmachine
HOW CAN AI FRAUD DETECTION HELP THE BANKING INDUSTRYSEE MORE ONDATAVISOR.COM
SR 11-7 COMPLIANCE: 3 CORE ELEMENTS FOR MODEL VALIDATION SR 11-7 Compliance: 3 Core Elements for Model Validation. An SR 11-7 compliant validation framework includes 3 core elements: an evaluation of conceptual soundness, ongoing monitoring, and outcomes analysis. Model validation is a defined set of processes and activities intended to verify that models are performing as expected, aligned with WHAT IS BUYER-SELLER COLLUSION? » DATAVISOR DIGITAL FRAUD WIKI Buyer-Seller Collusion is a specific example of a broader fraud category known as Collusion Fraud. Collusion fraud occurs anytime two entities within an organization or defined ecosystem conspire to commit fraudulent actions. Collusion commonly occurs in the workplace, in the insurance sector, and in markets where two or more entitiesagree to
BOT ATTACKS, AND ONE AIRLINE’S BATTLE TO DEFEAT THEMSEE MORE ONDATAVISOR.COM
BUSINESS FRAUD PREVENTION The DataVisor approach combines applied machine learning capabilities with powerful investigative workflows and an intelligence network of more that 4B user accounts to provide real-time fraud signals, insights, and protection to preserve vital trust and security.MEDIA » DATAVISOR
DataVisor is redefining online safety, powered by transformative AI and machine learning capabilities, and drawing on superior domain knowledge, scalable big data architecture, and a global intelligence network comprising over 4.2B global accounts. For media inquires, email pr@datavisor.com. Media Kit. Show All. FRAUD MANAGEMENT TOOLS Domain Expertise. Leverage superior fraud domain knowledge and exclusive data from across 4.2B protected accounts across the globe. Efficient. Tailored. Comprehensive. The DataVisor Feature Platform is a critical component of any comprehensive fraud management solution, and can be seamlessly integrated to enhance detection and preventionat scale.
DATAVISOR DCUBE
dCube by DataVisor A Comprehensive Fraud Management Platform dCube is a comprehensive fraud and risk management platform that empowers organizations to have complete control when building AI and machine learning models to proactively manage fraud and risk. HOW TO IDENTIFY AND MONITOR THE RISKS OF PPP LOAN FRAUD DataVisor’s machine learning is being used to monitor PPP loan fraud and respond to red flags in real-time. For example, the machine learning solution can help to identify applicants that were not in business at the designated PPP date (February 15, 2020) or not aligned with their typical payroll costs or business size. HOW TO DETECT CALL CENTER FRAUD » DATAVISOR DataVisor leverages its proprietary unsupervised machine learning and AI to identify and mitigate call center scams with fewer false positives. This allows companies to respond to threats of fraud while enabling legitimate customers to carry on with business. Stay ahead of call center fraud. Download the case study booklet. CALL CENTER SCAMS » DATAVISOR DIGITAL FRAUD WIKI Call center scams are a growing, industry-wide problem that cost financial institutions hundreds of millions of dollars each year: Contact center loss is expected to increase from $393M in 2015 to $775M in 2020. 61% of fraud in the U.S. can be traced back to call centers. Call center fraud increased from 1 in every 2000 calls in2016 to 1 in
MONEY LAUNDERING TECHNIQUES Regardless of the reason why, the operational steps of money-laundering techniques involve three stages: Movement – Move the funds away from explicit connection to the illegal activity. Disguise – Obscure the money audit trail and sever the link to the original crime. Return – Reunite the money with the owner from whatappears to be
BOT ATTACKS, AND ONE AIRLINE’S BATTLE TO DEFEAT THEM In a recent attack that DataVisor discovered on a large airline website, 52.9% of ticket orders were fraudulent, with 81% of them conducted by bad bots. Despite a robust suite of firewalls and anti-bot defenses, thousands of fraudulent orders were still gettingthrough.
EXPOSING THE DIGITAL FOOTPRINTS OF FRAUD » DATAVISOR Exposing the Digital Footprints of Fraud. The severe impact of ATO fraud on digital safety and security, the pressure to prevent fraudulent transactions within 60 minutes of account compromise, and the latest in geo obfuscation. The Q2 2019 Fraud Index Report specifically highlights the challenge of Account Takeover (ATO). FRAUD & RISK DETECTION Fraud & Risk Detection - AI and ML Powered - DataVisor. Comprehensive SaaS Solutions for. Fraud and Risk Management. DataVisor protects the world's largest enterprises from online fraud, digital risks, and sophisticated attacks with a transformational AI-powered platform. Give your organization the peace of mind that comes with comprehensive FRAUD MANAGEMENT TOOLS Domain Expertise. Leverage superior fraud domain knowledge and exclusive data from across 4.2B protected accounts across the globe. Efficient. Tailored. Comprehensive. The DataVisor Feature Platform is a critical component of any comprehensive fraud management solution, and can be seamlessly integrated to enhance detection and preventionat scale.
CUSTOMERS » DATAVISOR Our Customers. DataVisor is proud to protect the largest and most successful companies in the world from new and emerging fraud attacks. DataVisor currently protects more than 4.2B global user accounts. CAREERS » DATAVISOR The Opportunities of a Lifetime. At DataVisor, people from all over the world—with different backgrounds, experiences, and skillsets—come together to build, to grow, and to learn, and we strive to foster team spirit and curiosity. Everyone is valued here, and everyone contributes. We eat together, laugh together, and exploretogether.
INSURANCE » DATAVISOR Auto Insurance. Safeguard car insurance providers from personal and commercial vehicle fraud, promotion abuse, false claims, agent fraud with DataVisor’s proprietary machine learning, rules and Global Intelligence Network. Enhance operational efficiency by 10-100x with linkage analysis, auto detection and bulk actions. NEW FRAUD RESEARCH REVEALS TRENDS TO WATCH IN 2021 » DATAVISOR New Fraud Research Reveals Trends to Watch in 2021. The global pandemic that dominated most of 2020 served as a valuable reminder that fraud is a constantly evolving mechanism. Companies across industries and sizes had to be wary of fraudulent activities and transactions, specifically across digital channels since many in-person interactions HOW TO FIND EMULATORS AND STOP MOBILE FRAUD » DATAVISOR DataVisor’s Device Intelligence Solution is an AI-powered mobile intelligence solution designed for addressing these threats. This is a real-time solution to protect businesses from mobile device fraud that existing solutions simply cannot catch. DataVisor’s advanced device intelligence takes fraud detection to a much earlier point along BOT ATTACKS, AND ONE AIRLINE’S BATTLE TO DEFEAT THEMSEE MORE ONDATAVISOR.COM
EXPOSING THE DIGITAL FOOTPRINTS OF FRAUD » DATAVISOR Exposing the Digital Footprints of Fraud. The severe impact of ATO fraud on digital safety and security, the pressure to prevent fraudulent transactions within 60 minutes of account compromise, and the latest in geo obfuscation. The Q2 2019 Fraud Index Report specifically highlights the challenge of Account Takeover (ATO). WHAT IS BUYER-SELLER COLLUSION? » DATAVISOR DIGITAL FRAUD WIKI Buyer-Seller Collusion is a specific example of a broader fraud category known as Collusion Fraud. Collusion fraud occurs anytime two entities within an organization or defined ecosystem conspire to commit fraudulent actions. Collusion commonly occurs in the workplace, in the insurance sector, and in markets where two or more entitiesagree to
FRAUD & RISK DETECTION Fraud & Risk Detection - AI and ML Powered - DataVisor. Comprehensive SaaS Solutions for. Fraud and Risk Management. DataVisor protects the world's largest enterprises from online fraud, digital risks, and sophisticated attacks with a transformational AI-powered platform. Give your organization the peace of mind that comes with comprehensive FRAUD MANAGEMENT TOOLS Domain Expertise. Leverage superior fraud domain knowledge and exclusive data from across 4.2B protected accounts across the globe. Efficient. Tailored. Comprehensive. The DataVisor Feature Platform is a critical component of any comprehensive fraud management solution, and can be seamlessly integrated to enhance detection and preventionat scale.
CUSTOMERS » DATAVISOR Our Customers. DataVisor is proud to protect the largest and most successful companies in the world from new and emerging fraud attacks. DataVisor currently protects more than 4.2B global user accounts. CAREERS » DATAVISOR The Opportunities of a Lifetime. At DataVisor, people from all over the world—with different backgrounds, experiences, and skillsets—come together to build, to grow, and to learn, and we strive to foster team spirit and curiosity. Everyone is valued here, and everyone contributes. We eat together, laugh together, and exploretogether.
INSURANCE » DATAVISOR Auto Insurance. Safeguard car insurance providers from personal and commercial vehicle fraud, promotion abuse, false claims, agent fraud with DataVisor’s proprietary machine learning, rules and Global Intelligence Network. Enhance operational efficiency by 10-100x with linkage analysis, auto detection and bulk actions. NEW FRAUD RESEARCH REVEALS TRENDS TO WATCH IN 2021 » DATAVISOR New Fraud Research Reveals Trends to Watch in 2021. The global pandemic that dominated most of 2020 served as a valuable reminder that fraud is a constantly evolving mechanism. Companies across industries and sizes had to be wary of fraudulent activities and transactions, specifically across digital channels since many in-person interactions HOW TO FIND EMULATORS AND STOP MOBILE FRAUD » DATAVISOR DataVisor’s Device Intelligence Solution is an AI-powered mobile intelligence solution designed for addressing these threats. This is a real-time solution to protect businesses from mobile device fraud that existing solutions simply cannot catch. DataVisor’s advanced device intelligence takes fraud detection to a much earlier point along BOT ATTACKS, AND ONE AIRLINE’S BATTLE TO DEFEAT THEMSEE MORE ONDATAVISOR.COM
EXPOSING THE DIGITAL FOOTPRINTS OF FRAUD » DATAVISOR Exposing the Digital Footprints of Fraud. The severe impact of ATO fraud on digital safety and security, the pressure to prevent fraudulent transactions within 60 minutes of account compromise, and the latest in geo obfuscation. The Q2 2019 Fraud Index Report specifically highlights the challenge of Account Takeover (ATO). WHAT IS BUYER-SELLER COLLUSION? » DATAVISOR DIGITAL FRAUD WIKI Buyer-Seller Collusion is a specific example of a broader fraud category known as Collusion Fraud. Collusion fraud occurs anytime two entities within an organization or defined ecosystem conspire to commit fraudulent actions. Collusion commonly occurs in the workplace, in the insurance sector, and in markets where two or more entitiesagree to
MEET THE NEXT-GEN PROACTIVE FRAUD PREVENTION TECHNOLOGY DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen.MEDIA » DATAVISOR
DataVisor is redefining online safety, powered by transformative AI and machine learning capabilities, and drawing on superior domain knowledge, scalable big data architecture, and a global intelligence network comprising over 4.2B global accounts. For media inquires, email pr@datavisor.com. Media Kit. Show All. BUSINESS FRAUD PREVENTION The DataVisor approach combines applied machine learning capabilities with powerful investigative workflows and an intelligence network of more that 4B user accounts to provide real-time fraud signals, insights, and protection to preserve vital trust and security. DATAVISOR SUPPORT PORTAL » DATAVISOR Top-Rated Customer Services. We put the best fraud management solutions in your hands, and offer comprehensive support and resources to ensure you achieve business success. Our customers are getting the maximum ROI from DataVisor’s advanced solutions, responsive services and continuous innovation. DataVisor is rated Best-in-Class in ClientTRIAL » DATAVISOR
DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. PARTNERS » DATAVISOR DataVisor is Dedicated to Partner Success. DataVisor empowers our partners with the world’s most advanced AI-driven fraud solutions. With DataVisor, our partners can accelerate ML & AI adoption for their clients with the power to drive value at every stage of the customerlifecycle.
CAREERS » DATAVISOR The Opportunities of a Lifetime. At DataVisor, people from all over the world—with different backgrounds, experiences, and skillsets—come together to build, to grow, and to learn, and we strive to foster team spirit and curiosity. Everyone is valued here, and everyone contributes. We eat together, laugh together, and exploretogether.
INSURANCE » DATAVISOR Auto Insurance. Safeguard car insurance providers from personal and commercial vehicle fraud, promotion abuse, false claims, agent fraud with DataVisor’s proprietary machine learning, rules and Global Intelligence Network. Enhance operational efficiency by 10-100x with linkage analysis, auto detection and bulk actions. RETAIL AND E-COMMERCE » DATAVISOR Fraud Management for Retail and E-Commerce Prevent promotion abuse, mass-registered fake accounts, and account takeover in real time. Eliminate fraud losses and provide great experiences to MONEY LAUNDERING TECHNIQUES Regardless of the reason why, the operational steps of money-laundering techniques involve three stages: Movement – Move the funds away from explicit connection to the illegal activity. Disguise – Obscure the money audit trail and sever the link to the original crime. Return – Reunite the money with the owner from whatappears to be
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www.datavisor.com
Collects data on the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded with the purpose of generating reports for optimising the website content.2 days
HTTP
collect
Session
Pixel
_it_
instapagemetrics.com Sets a unique ID for the session. This allows the website to obtain data on visitor behaviour for statistical purposes.1 year
HTTP
AnalyticsSyncHistoryanalysis service.
29 days
HTTP
slideshare.experimentsdesign experiment.
Persistent
HTML
vuid
Vimeo
Collects data on the user's visits to the website, such as which pages have been read.2 years
HTTP
wmc
Workable
Used to track which users have shown interest in what job postings. The cookie ensures that the most relevant job postings are shown tothe specific user.
10 years
HTTP
Marketing cookies are used to track visitors across websites. The intention is to display ads that are relevant and engaging for the individual user and thereby more valuable for publishers and thirdparty advertisers.
NAME
PROVIDER
PURPOSE
EXPIRY
TYPE
6suuid
j.6sc.co
Registers user behaviour and navigation on the website, and any interaction with active campaigns. This is used for optimizing advertisement and for efficient retargeting.2 years
HTTP
_gd_session
j.6sc.co
Collects visitor data related to the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded, with the purpose of displaying targetedads.
1 day
HTTP
_gd_svisitor
j.6sc.co
Collects visitor data related to the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded, with the purpose of displaying targetedads.
2 years
HTTP
_gd_visitor
j.6sc.co
Collects visitor data related to the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded, with the purpose of displaying targetedads.
2 years
HTTP
v1/beacon/img.gif
j.6sc.co
Used in context with Account-Based-Marketing (ABM). The cookie registers data such as IP-addresses, time spent on the website and page requests for the visit. This is used for retargeting of multiple users rooting from the same IP-addresses. ABM usually facilitates B2Bmarketing purposes.
Session
Pixel
_mkto_trk
Marketo
Contains data on visitor behaviour and website interaction. This is used in context with the email marketing service Marketo.com, which allows the website to target visitors via email.2 years
HTTP
drift_aid
Drift
Sets a unique ID for the specific user. This allows the website to target the user with relevant offers through its chat functionality.2 years
HTTP
drift_campaign_refreshDrift
Sets a unique ID for the specific user. This allows the website to target the user with relevant offers through its chat functionality.1 day
HTTP
snowplowOutQueue_instapageSp_instapage-sp_post2www.datavisor.com
Used in context with Account-Based-Marketing (ABM). The cookie registers data such as IP-addresses, time spent on the website and page requests for the visit. This is used for retargeting of multiple users rooting from the same IP-addresses. ABM usually facilitates B2Bmarketing purposes.
Persistent
HTML
___utmvc
www.datavisor.com
Collects information on user behaviour on multiple websites. This information is used in order to optimize the relevance of advertisement on the website.1 day
HTTP
_an_uid
j.6sc.co
Presents the user with relevant content and advertisement. The service is provided by third-party advertisement hubs, which facilitate real-time bidding for advertisers.6 days
HTTP
_gcl_au
Google Tag Manager
Used by Google AdSense for experimenting with advertisement efficiency across websites using their services.3 months
HTTP
snowplowOutQueue_instapageSp_instapage-sp_post2.expireswww.datavisor.com
Used in context with Account-Based-Marketing (ABM). The cookie registers data such as IP-addresses, time spent on the website and page requests for the visit. This is used for retargeting of multiple users rooting from the same IP-addresses. ABM usually facilitates B2Bmarketing purposes.
Persistent
HTML
snowplowOutQueue_ubSnowplow_sp-ub_getAmazon
Used in context with Account-Based-Marketing (ABM). The cookie registers data such as IP-addresses, time spent on the website and page requests for the visit. This is used for retargeting of multiple users rooting from the same IP-addresses. ABM usually facilitates B2Bmarketing purposes.
Persistent
HTML
snowplowOutQueue_ubSnowplow_sp-ub_get.expiresAmazon
Used in context with Account-Based-Marketing (ABM). The cookie registers data such as IP-addresses, time spent on the website and page requests for the visit. This is used for retargeting of multiple users rooting from the same IP-addresses. ABM usually facilitates B2Bmarketing purposes.
Persistent
HTML
IDE
to the user.
1 year
HTTP
pagead/landing
advertisement.
Session
Pixel
RUL
more efficient.
1 year
HTTP
test_cookie
1 day
HTTP
ads/ga-audiences
websites.
Session
Pixel
pagead/1p-user-list/#Session
Pixel
bcookie
2 years
HTTP
bscookie
2 years
HTTP
lidc
1 day
HTTP
UserMatchHistory
29 days
HTTP
images/1x1.gif
Session
Pixel
_/ad/#/pixel
Quora
Collects data on user behaviour and interaction in order to optimize the website and make advertisement on the website more relevant.Session
Pixel
WIDGET::local::assignmentsSoundcloud
Used by audio-platform SoundCloud to implement, measure and improve their embedded content/service on the website - The collection of data also includes visitors’ interaction with embedded content/service. This can be used for statistics or marketing purposes.Persistent
HTML
VISITOR_INFO1_LIVE
YouTube
Tries to estimate the users' bandwidth on pages with integratedYouTube videos.
179 days
HTTP
YSC
YouTube
Registers a unique ID to keep statistics of what videos from YouTubethe user has seen.
Session
HTTP
yt.innertube::nextIdYouTube
Registers a unique ID to keep statistics of what videos from YouTubethe user has seen.
Persistent
HTML
yt.innertube::requestsYouTube
Registers a unique ID to keep statistics of what videos from YouTubethe user has seen.
Persistent
HTML
yt-remote-cast-installedYouTube
Stores the user's video player preferences using embedded YouTubevideo
Session
HTML
yt-remote-connected-devicesYouTube
Stores the user's video player preferences using embedded YouTubevideo
Persistent
HTML
yt-remote-device-id
YouTube
Stores the user's video player preferences using embedded YouTubevideo
Persistent
HTML
yt-remote-fast-check-periodYouTube
Stores the user's video player preferences using embedded YouTubevideo
Session
HTML
yt-remote-session-appYouTube
Stores the user's video player preferences using embedded YouTubevideo
Session
HTML
yt-remote-session-nameYouTube
Stores the user's video player preferences using embedded YouTubevideo
Session
HTML
yt-remote-cast-availableYouTube
Pending
Session
HTML
Unclassified cookies are cookies that we are in the process of classifying, together with the providers of individual cookies.NAME
PROVIDER
PURPOSE
EXPIRY
TYPE
_sp_id.d73a
Amazon
Pending
Persistent
HTML
_sp_id.d73a.expires
Amazon
Pending
Persistent
HTML
_sp_ses.d73a
Amazon
Pending
Persistent
HTML
_sp_ses.d73a.expiresAmazon
Pending
Persistent
HTML
DRIFT_openTabs
Drift
Pending
Persistent
HTML
DRIFT_SESSION_CAMPAIGNSDrift
Pending
Persistent
HTML
instapage-visit-#
www.datavisor.com
Pending
Persistent
HTML
instap-spid.d73a
www.datavisor.com
Pending
2 years
HTTP
instap-spses.d73a
www.datavisor.com
Pending
1 day
HTTP
ms_bid
Mediashower
Pending
Session
HTTP
ms_fiid
Mediashower
Pending
Session
HTTP
ms_session
Mediashower
Pending
Session
HTTP
no-cache
www.datavisor.com
Pending
Session
HTTP
Cookies are small text files that can be used by websites to make a user's experience more efficient. The law states that we can store cookies on your device if they are strictly necessary for the operation of this site. For all other types of cookies we need your permission. This site uses different types of cookies. Some cookies are placed by third party services that appear on our pages. You can at any time change or withdraw your consent from the Cookie Declaration on our website. Learn more about who we are, how you can contact us and how we process personal data in our Privacy Policy. Please state your consent ID and date when you contact us regarding
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COMPREHENSIVE SAAS SOLUTIONS FOR FRAUD AND RISK MANAGEMENT DATAVISOR PROTECTS THE WORLD'S LARGEST ENTERPRISES FROM ONLINE FRAUD, DIGITAL RISKS, AND SOPHISTICATED ATTACKS WITH A TRANSFORMATIONAL AI-POWERED PLATFORM. GIVE YOUR ORGANIZATION THE PEACE OF MIND THAT COMES WITH COMPREHENSIVE PROTECTION AGAINST NEW AND UNFORESEENTHREATS.
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DATAVISOR RECOGNIZED AS GARTNER COOL VENDOR IN IDENTITY ACCESS MANAGEMENTAND FRAUD DETECTION
DATAVISOR PROTECTS THE WORLD'S LARGEST ENTERPRISES FROM ONLINE FRAUD, DIGITAL RISKS, AND SOPHISTICATED ATTACKS WITH A TRANSFORMATIONAL AI-POWERED PLATFORM. GIVE YOUR ORGANIZATION THE PEACE OF MIND THAT COMES WITH COMPREHENSIVE PROTECTION AGAINST NEW AND UNFORESEENTHREATS.
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CHOOSE DATAVISOR TO: REDUCE FINANCIAL LOSS Proactively defeat new and evolving attacks with a robust suite of fraud prevention products. INCREASE OPERATIONAL SAVINGS Enjoy seamless integration with minimal operational costs and quickertime to value.
ENSURE SAFE AND SECURE GROWTH Empower your organization to safely scale with the flexible platform solution that grows with your business.Contact Sales
A GUIDE TO ELIMINATING FALSE POSITIVES AITE GROUP ESTIMATES THAT THE COST OF FALSE POSITIVES WILL BALLOON TO $443 BILLION BY 2021. LEARN HOW TO REDUCE FALSE POSITIVES WITHOUT INTRODUCING RISK OR CUSTOMER EXPERIENCE FRICTION, USING THE NEXT GENERATION OF FRAUD PREVENTION TECHNOLOGY.Download Now
YOUR PATH TO MACHINE LEARNING-POWERED FRAUD DETECTIONDEVICE INTELLIGENCE
Enrich data and input signals with device intelligence and a Global Intelligence Network of over 4B accounts.Learn More
DataVisor's approach to comprehensive fraud management features a hyper-modern architecture built to manage complex digital signals and behavior analytics using the most advanced machine learning technologies at big data scale, empowering large enterprises to identify and prevent even the most sophisticated attacks. ROBUST FRAUD SIGNALS Implement the best-in-class managed fraud detection service powered by machine learning technology.Learn More
ADVANCED MACHINE LEARNING PLATFORM Get more control over risk and enhance fraud modeling with greater transparency and explainable results.Learn More
DataVisor's approach to comprehensive fraud management features a hyper-modern architecture built to manage complex digital signals and behavior analytics using the most advanced machine learning technologies at big data scale, empowering large enterprises to identify and prevent even the most sophisticated attacks. CONTACT US TO LEARN HOW DATAVISOR CAN HELP YOU GROW YOUR BUSINESS WITHOUT FRAUD LOSSES.Request Demo
HOW CUSTOMERS USE DATAVISORBANKING
A leading U.S. credit card issuer leveraged DataVisor’s machine learning solutions to address application fraud, increasing detection by 25% and saving over $15M annually.Learn More
INSURANCE
A Fortune 500 insurance company used DataVisor’s advanced detection capabilities to stop fraud and collusion in real time, preventing losses and improving efficiency.Learn More
SHIPPING AND DELIVERY A global delivery company relied on DataVisor’s holistic analysis approach to increase detection by 60%, leading to savings of more than$4M.
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MARKETPLACES
A top online marketplace blocked mass registrations and eliminated fake listings by detecting fraud early and taking auto-actions to defeat attacks at scale.Learn More
FINANCIAL SERVICES
A worldwide financial services provider used DataVisor’s advanced machine learning capabilities to detect fraud early, drastically reduce false positives, and save over $12M annually.Learn More
AWARDS & RECOGNITION‹›
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TRUSTED BY LEADING BRANDS DATAVISOR IS PROUD TO PROTECT THE LARGEST AND MOST SUCCESSFUL COMPANIES IN THE WORLD FROM NEW AND EMERGING FRAUD ATTACKS. "DataVisor’s machine learning solution is the most critical component of our fraud defense as we grow in digital space, helping us minimize customer friction while defeating fraud risk."Richard Cooney
Head of Fraud Strategy "With DataVisor and unsupervised machine learning, we were able to identify and stop mass scale fraud attacks before they had any effecton our users. "
Steve Knopf
Vice President of Trust and Safety "DataVisor’s machine learning solution is the most critical component of our fraud defense as we grow in digital space, helping us minimize customer friction while defeating fraud risk."Richard Cooney
Head of Fraud Strategy "With DataVisor and unsupervised machine learning, we were able to identify and stop mass scale fraud attacks before they had any effecton our users. "
Steve Knopf
Vice President of Trust and Safety "DataVisor’s machine learning solution is the most critical component of our fraud defense as we grow in digital space, helping us minimize customer friction while defeating fraud risk."Richard Cooney
Head of Fraud Strategy "With DataVisor and unsupervised machine learning, we were able to identify and stop mass scale fraud attacks before they had any effecton our users. "
Steve Knopf
Vice President of Trust and Safety‹›
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