Cyentia Cybersecurity Research Library
  • Sources
  • Tags
  • About
  • Sponsors
  • More from Cyentia

ThreatMetrix

Below you will find reports with the source of “ThreatMetrix”

image from Unmasking Synthetic Identites: Exposing the Real Fraudster Behind the Fabricated Persona

Unmasking Synthetic Identites: Exposing the Real Fraudster Behind the Fabricated Persona

From the report, “Widespread data breaches, the EMV migration, and efforts to extend the longevity of the SSN, have created an ideal environment in which synthetic identity fraud is flourishing. Furthermore, consumers’ physical and digital footprints are becoming more complicated, meandering across locations, devices, and geographies. This makes it more difficult than ever to differentiate legitimate user behavior from fraudsters. Businesses need to prevent synthetic identities from entering their ecosystems by understanding anomalies to individual user behavior and helping to correlate the seemingly disconnected events and security incidents in real time. Combining historical and real-time data and leveraging machine learning to analyze individual behavior across channels can reveal complex patterns to help detect and block synthetic identities without causing friction for real customers.”

(more available)
Added: January 30, 2019
image from The Path To Digital Transformation

The Path To Digital Transformation

This report offers insight into controlling friction while tackling Cybercrime in Financial Services.

Added: January 30, 2019
image from Global eCommerce Transaction and Fraud Trends Q2 2018

Global eCommerce Transaction and Fraud Trends Q2 2018

This infographic provides a brief overview of data presented in the ThreatMetrix Q2 2018 Cybercrime Report.

Added: January 30, 2019
image from ThreatMetrix Cybercrime Report

ThreatMetrix Cybercrime Report

The ThreatMetrix Payment Processor Cybercrime Report is based on actual cybercrime attacks last year that were detected by the ThreatMetrix Digital Identity Network (the Network) during real-time analysis and interdiction of fraudulent online payments, logins and new account applications.

(more available)
Added: January 30, 2019
image from Q2 2018 Gaming & Gambling Report

Q2 2018 Gaming & Gambling Report

The ThreatMetrix Gaming and Gambling Cybercrime Report is based on actual cybercrime attacks in Q2 2018 that were detected by the ThreatMetrix Digital Identity Network (the Network) during real-time analysis and interdiction of fraudulent online payments, logins and new account applications.

(more available)
Added: January 30, 2019
image from Q2 2018 Cybercrime Report

Q2 2018 Cybercrime Report

The ThreatMetrix Cybercrime Report: Q2 2018 is based on actual cybercrime attacks from April – June 2018 that were detected by the ThreatMetrix Digital Identity Network (The Network) during real-time analysis and interdiction of fraudulent online payments, logins and new account applications.

(more available)
Added: January 30, 2019
image from Q1 2018 Cybercrime Report

Q1 2018 Cybercrime Report

The ThreatMetrix Cybercrime Report: Q1 2018 is based on actual cybercrime attacks from January – March 2018 that were detected by the ThreatMetrix Digital Identity Network (The Network) during real-time analysis and interdiction of fraudulent online payments, logins and new account applications.

(more available)
Added: January 30, 2019
image from 2018 Cybercrime Report: Europe DeepDive

2018 Cybercrime Report: Europe DeepDive

The ThreatMetrix European Cybercrime Report: Q1 2018 is based on actual cybercrime attacks from January – March 2018 that were detected by the ThreatMetrix Digital Identity Network (The Network) during real-time analysis and interdiction of fraudulent online payments, logins and new account applications.

(more available)
Added: January 30, 2019
image from Cybercrime Report 2017: A Year In Review

Cybercrime Report 2017: A Year In Review

This report offers insight into the cybercrime events of 2017.

Added: January 30, 2019
image from Q4 2017 Cybercrime Report

Q4 2017 Cybercrime Report

The ThreatMetrix Cybercrime Report: Q4 2017 is based on actual cybercrime attacks from October – December 2017 that were detected by the ThreatMetrix Digital Identity Network (The Network) during real-time analysis and interdiction of fraudulent online payments, logins and new account applications.

(more available)
Added: January 30, 2019
image from 2017 Q3 Cybercrime Report

2017 Q3 Cybercrime Report

The ThreatMetrix Cybercrime Report: Q3 2017 is based on actual cybercrime attacks from July – September 2017 that were detected by the ThreatMetrix Digital Identity Network (The Network) during real-time analysis and interdiction of fraudulent online payments, logins and new account applications. • The Network provides visibility and insight into traffic patterns and emerging threats. The Network analyzes close to two billion transactions per month, over 51% of which originate from mobile devices. • These transactions are analyzed for legitimacy based on hundreds of attributes, including device identification, geolocation, previous history and behavioral analytics. • The Network and its real-time policy engine provide unique insight into users’ digital identities, even as they move between applications, devices, and networks. • ThreatMetrix customers benefit from a global view of risks, based on these attributes and rules that are custom-tuned specifically for their businesses. • Attacks discussed are from “high-risk” transactions scored by ThreatMetrix customers.

(more available)
Added: January 30, 2019
image from 2017 Q2 Cybercrime Report

2017 Q2 Cybercrime Report

Cybercrime continues to grow, with organizations being attacked more than ever before. ThreatMetrix detected and stopped 144 million attacks this quarter and 300 million bot attacks. The complex, networked nature of cybercrime attacks can be seen in the following key trends analyzed this quarter: • The evolution of emerging economies in the cybercrime landscape as identity data trickles down to all regions of the globe following large-scale breaches • The regional variations in attack vector trends, with South America emerging as a hub for new account origination fraud • The emergence of highly organized criminal gangs targeting multiple organizations within the ThreatMetrix Network • The rise in mobile attack rates as attackers turn their attention towards the growing mobile economy

(more available)
Added: January 30, 2019
image from 2017 Q1 Cybercrime Report

2017 Q1 Cybercrime Report

The ThreatMetrix Cybercrime Report: Q1 2017 is based on actual cybercrime attacks from January – March 2017 that were detected by the ThreatMetrix Digital Identity Network (The Network) during real-time analysis and interdiction of fraudulent online payments, logins and new account applications. The Network provides visibility and insight into traffic patterns and emerging threats. The Network analyzes close to two billion transactions per month, over 45% of which originate from mobile devices. These transactions are analyzed for legitimacy based on hundreds of attributes, including device identification, geolocation, previous history and behavioral analytics. The Network and its real-time policy engine provide unique insight into users’ digital identities, even as they move between applications, devices, and networks. ThreatMetrix customers benefit from a global view of risks, based on these attributes and rules that are custom-tuned specifically for their businesses. Attacks discussed are from “high-risk” transactions scored by ThreatMetrix customers.

(more available)
Added: January 30, 2019
image from 2017 Gaming and Gambling Cybercrime Report

2017 Gaming and Gambling Cybercrime Report

This report offers these key insights: 49% of all transactions analyzed in gaming and gambling come from a mobile device, Identity spoofing remains the biggest threat to the industry, and Automated bot attacks can account for around half of daily gaming/gambling traffic during periods of peak attacks.

(more available)
Added: January 30, 2019
image from 2017 APAC Cybercrime Report

2017 APAC Cybercrime Report

This report offers insight into the Asia-Pacific region and the cybercrimes that are growing and continuing to occur in the area.

(more available)
Added: January 30, 2019
image from Q4 2016 CyberCrime Report

Q4 2016 CyberCrime Report

The ThreatMetrix Cybercrime Report: Q4 2016 is based on actual cybercrime attacks from October – December 2016 that were detected by the ThreatMetrix Digital Identity Network (The Network) during real-time analysis and interdiction of fraudulent online payments, logins and new account applications.

(more available)
Added: January 30, 2019
image from 2017 Cybercrime Report: Travel and Entertainment Industry DeepDive

2017 Cybercrime Report: Travel and Entertainment Industry DeepDive

This report from ThreatMetrix compiles their 2017 Cybercrime report in such a way that they offer unique insight into the travel and entertainment industry and how cybercrime is impacting that arena.

(more available)
Added: January 30, 2019
image from Q3 2016 CyberCrime Report

Q3 2016 CyberCrime Report

The ThreatMetrix Cybercrime Report: Q3 2016 is based on actual cybercrime attacks from July 2016 – September 2016 that were detected by the ThreatMetrix Digital Identity Network (The Network) during real time analysis and interdiction of fraudulent online payments, logins and new account applications.

(more available)
Added: January 30, 2019
image from Cybercrime Report: Gaming And Betting

Cybercrime Report: Gaming And Betting

Using intelligence from the ThreatMetrix Digital Identity Network, gaming and gambling companies can accurately differentiate between responsible users and problem gamblers / fraudsters in real time.

(more available)
Added: January 30, 2019
image from Q3 2016 Cybercrime Report APAC DeepDive

Q3 2016 Cybercrime Report APAC DeepDive

APAC continues to be an exciting region of huge growth, evolution and change; increasing its vulnerability to organized, global cyber attacks. This is particularly true given APAC has a particularly strong cross-border footprint, with a high proportion of digital transactions criss-crossing country boundaries. Cross-border transactions are considered riskier by most organizations, driven by the fact that they are far more likely to be automated bot attacks than domestic transactions, and attract higher instances of location spoofing, as fraudsters attempt to hide behind VPNs and proxies to mask their true location.

(more available)
Added: January 30, 2019
image from Q2 2016 Cybercrime Report

Q2 2016 Cybercrime Report

This is ThreatMetrix’s Report of events from the second quarter of 2016.

Added: January 30, 2019
  • ««
  • «
  • 1
  • 2
  • »
  • »»
© Cyentia Institute 2025
Library updated: July 2, 2025 00:08 UTC (build b1d7be4)