Darwinium

The new #cyberfraud challenge of fraud farms using huge volumes of physical devices and cycling IP addresses. Darwinium has seen a stark rise in malicious fraud farms as an attack vector. This fraud MO is specifically exploiting the gap between security and fraud detection because legacy bot solutions give this activity the all clear - it’s ostensibly a human interaction rather than an automated one - and legacy fraud tools completely miss that the activity is linked because the fraud farms cycle devices and IP addresses. In fact, the best device fingerprinting in the world succeeds in detecting the different devices, while VPNs and IP cycling make network-based inference isolated and actively misleading. So what can be done? This is where behavioral identification comes in - layering user behavior with device, location and identity intelligence. ?? Darwinium analysis has recently validated a huge fraud farm network of 22,000 accounts using behavioral identification, for one of our global merchants. This fraud was abusing new account bonuses, costing the business money and causing unnecessary friction for good users. ?? The analysis found that trusted users typically use distinct groups of devices, consistent IPs and distinct behavior. Fraud farms can also have distinct groups of devices and IPs but behavior is typically unusually similar. Key biometric indicators differed by a factor 5-10x between the fraud farms and the general population, allowing for easy differentiation. Darwinium could then develop a repeatable model for future identification of similar behaviors. ?? This shows why layering behavior on top of device and location intelligence is so crucial. In isolation, these pieces of intelligence would not be enough to identify fraud farm networks, which have become adept at bypassing existing controls for device and location alerts. ?? The merchant was ultimately assured that the behavior they saw was associated with malicious click farms before they took action, delivering the underlying behavioral data for explainability. #fraudprevention #accountsecurity Alisdair Faulkner Ben Davey Caleb Moore Ananth Gundabattula , Ph.D Colin Goldie Peng Leong Rebekah Moody Elias Bizannes Paul Cloutier Ed Whitehead Michael Brooks Pankaj Sharma, PhD James Graham Alex F. Tyler M. Early Natalie Lewkowicz

Let’s talk about data! When it comes to #accountsecurity and #fraudprevention, every solution provider can ultimately collect similar profiling data. There are, however,?two key areas that can distinguish the way solution providers use data: ?? Where, how, and how often the data is collected? Many solutions collect data from a specific moment in the customer journey – at a login, or payment. While this gives good context of risk at that moment, it can miss context from other critical interactions in the customer journey.?Context from other steps in the customer journey, and over time, is critical to detect fraud such as complex bot attacks, business logic abuse, and scams. ?? How usable is the data, with respect to how it is stored and remembered efficiently in future? Data intelligence is only useful when it is actionable, which means getting it in the right place, in the right format, with the right context, to build the right insights in real time, where it is needed. At?Darwinium, we do a few?really interesting?things when it comes to data: ?? We collect data?across a customer journey. We ingest that request data and make it usable, meaning businesses can layer?Darwinium?insights with their own business context everywhere it is needed, helping businesses to build more agile solutions to complex fraud. ?? When it comes to?behavioral?biometrics data, we collect this on a per-field not a per page basis. This gives more granular insights and distinction of usual versus unusual behaviour in context of field type. ?? We resolve?all of?these sets of data into proprietary digital signatures. Forensics data, like device, swipe and keyboard interactions are condensed into a corresponding signature for easy similarity comparison. Built on a continuous scale of similarity from zero to one, rather than on a fixed identifier, digital signatures optimize challenge rates with customer experience while reducing false positives. ?? We allow that data to be used in a feature engine that efficiently remembers and aggregates statistics against them to baseline?behavior?now versus previous behaviour. Those include population quantiles and statistics. ?? We store data for investigations for at least 12-months, and most engine data?indefinitely. This is unusual in an industry that typically only retains data for 30 days, and often misses long-term trends and lookbacks. Particularly useful for businesses and use case with less frequent but higher stakes consumer interactions. To learn more about how we collect and use data to better solve complex fraud, head to our website or drop us a line to book a demo. Alisdair Faulkner Ben Davey Caleb Moore Ananth Gundabattula , Ph.D Michael Brooks Peng Leong Paul Cloutier Ed Whitehead Stephen Purvis Roderick Austin James Graham Jim Seymour Rebekah Moody Natalie Lewkowicz

Protect your business with continuous monitoring and dynamic decisioning. Fraud tactics are evolving faster than ever. Darwinium’s real-time decisioning keeps you ahead by identifying threats as they happen. Discover how you can protect your customers at every stage of their journey. Download the whitepaper now - Link in comments Paul Cloutier Ed Whitehead Tyler M. Early Alex F. Hassan V. Stephen Purvis Roderick Austin James Graham Jim Seymour Rebekah Moody Natalie Lewkowicz

Protect your business with continuous monitoring and dynamic decisioning. Fraud tactics are evolving faster than ever. Darwinium’s real-time decisioning keeps you ahead by identifying threats as they happen. Discover how you can protect your customers at every stage of their journey. Download the whitepaper now - Link in comments Paul Cloutier Ed Whitehead Tyler M. Early Alex F. Hassan V. Stephen Purvis Roderick Austin James Graham Jim Seymour Rebekah Moody Natalie Lewkowicz

The digital customer journey is full of vulnerabilities—from browsing to payment. Legacy tools focus on isolated touchpoints, leaving critical gaps for fraudsters to exploit. Darwinium changes the game with continuous, journey-wide protection and real-time decision-making. Discover how Darwinium protects every step of the journey, ensuring your customers' security without adding unnecessary friction. Download the full whitepaper - Link in the comments Alisdair Faulkner Ben Davey Caleb Moore Ananth Gundabattula , Ph.D Michael Brooks Peng Leong Paul Cloutier Ed Whitehead Stephen Purvis Roderick Austin James Graham Jim Seymour Rebekah Moody Natalie Lewkowicz

Let’s talk about data! When it comes to #accountsecurity and #fraudprevention, every solution provider can ultimately collect similar profiling data. There are, however,?two key areas that can distinguish the way solution providers use data: ?? Where, how, and how often the data is collected? Many solutions collect data from a specific moment in the customer journey – at a login, or payment. While this gives good context of risk at that moment, it can miss context from other critical interactions in the customer journey.?Context from other steps in the customer journey, and over time, is critical to detect fraud such as complex bot attacks, business logic abuse, and scams. ?? How usable is the data, with respect to how it is stored and remembered efficiently in future? Data intelligence is only useful when it is actionable, which means getting it in the right place, in the right format, with the right context, to build the right insights in real time, where it is needed. At?Darwinium, we do a few?really interesting?things when it comes to data: ?? We collect data?across a customer journey. We ingest that request data and make it usable, meaning businesses can layer?Darwinium?insights with their own business context everywhere it is needed, helping businesses to build more agile solutions to complex fraud. ?? When it comes to?behavioral?biometrics data, we collect this on a per-field not a per page basis. This gives more granular insights and distinction of usual versus unusual behaviour in context of field type. ?? We resolve?all of?these sets of data into proprietary digital signatures. Forensics data, like device, swipe and keyboard interactions are condensed into a corresponding signature for easy similarity comparison. Built on a continuous scale of similarity from zero to one, rather than on a fixed identifier, digital signatures optimize challenge rates with customer experience while reducing false positives. ?? We allow that data to be used in a feature engine that efficiently remembers and aggregates statistics against them to baseline?behavior?now versus previous behaviour. Those include population quantiles and statistics. ?? We store data for investigations for at least 12-months, and most engine data?indefinitely. This is unusual in an industry that typically only retains data for 30 days, and often misses long-term trends and lookbacks. Particularly useful for businesses and use case with less frequent but higher stakes consumer interactions. To learn more about how we collect and use data to better solve complex fraud, head to our website or drop us a line to book a demo. Alisdair Faulkner Ben Davey Caleb Moore Ananth Gundabattula , Ph.D Michael Brooks Peng Leong Paul Cloutier Ed Whitehead Stephen Purvis Roderick Austin James Graham Jim Seymour Rebekah Moody Natalie Lewkowicz

There are many companies you can choose to help you identify devices, none of them can hold your customers hand through the customers journey while separating the signal from the noise in the face of bot attacks, fraud and abuse.

Techopedia has just released its top #cybersecurity trends for 2025, and coming in at number two is the rise of cyberfraud fusion centers, with comments from our co-founder and CEO, Alisdair Faulkner. We are hearing that the move towards cyberfraud fusion teams is accelerating, as businesses need both the visibility of security tools combined with the context of fraud tools. ? Security tools typically have good visibility of traffic behavior, but lack the context of user behavior to stop advanced account takeovers, business logic abuse and scams. Fraud solutions provide a greater depth of intelligence at key touchpoints, but typically lack holistic protection across the complete customer journey, creating siloed protection and a disparate view of customer data. Darwinium is a cyberfraud prevention platform that is solving the toughest challenges in #accountsecurity by providing complete visibility of user behavior across every digital touchpoint.?If you'd like to see a demo, drop us a line. To read the full article, follow the link in the comments. Paul Cloutier Ed Whitehead Alex F. Tyler M. Early Ben Davey Caleb Moore James Graham Michael Brooks Stephen Purvis Rebekah Moody Natalie Lewkowicz

Datos Insights, in collaboration with Darwinium, have authored a new guide to evolving fraud trends hitting the eCommerce market. David Mattei writes: "As companies have strengthened their defenses against traditional transaction-level fraud, cybercriminals have adapted their tactics, shifting their focus to a new and often more vulnerable target: the online account. The current state of e-commerce fraud presents significant challenges and underscores the urgent need for a new approach to fraud prevention that can combat threats while maintaining a positive customer experience. A holistic, account-centric strategy focused on securing the entire user journey―from account creation to login, browsing, and checkout―is imperative." Insights in the whitepaper include: ?? The impact of growing account takeover threats and loyalty fraud. ?? Why traditional device fingerprinting techniques have become less effective. ?? The advantages offered by edge-based fraud detection techniques. To get your copy and read about the new threats targeting eCommerce accounts, follow the link in the comments. #accountsecurity #accounttakeover Alisdair Faulkner Ben Davey Caleb Moore Peng Leong Ed Whitehead Paul Cloutier Alex F. Tyler M. Early James Graham Stephen Purvis Rebekah Moody Natalie Lewkowicz

Datos Insights, in collaboration with Darwinium, have authored a new guide to evolving fraud trends hitting the eCommerce market. David Mattei writes: "As companies have strengthened their defenses against traditional transaction-level fraud, cybercriminals have adapted their tactics, shifting their focus to a new and often more vulnerable target: the online account. The current state of e-commerce fraud presents significant challenges and underscores the urgent need for a new approach to fraud prevention that can combat threats while maintaining a positive customer experience. A holistic, account-centric strategy focused on securing the entire user journey―from account creation to login, browsing, and checkout―is imperative." Insights in the whitepaper include: ?? The impact of growing account takeover threats and loyalty fraud. ?? Why traditional device fingerprinting techniques have become less effective. ?? The advantages offered by edge-based fraud detection techniques. To get your copy and read about the new threats targeting eCommerce accounts, follow the link in the comments. #accountsecurity #accounttakeover Alisdair Faulkner Ben Davey Caleb Moore Peng Leong Ed Whitehead Paul Cloutier Alex F. Tyler M. Early James Graham Stephen Purvis Rebekah Moody Natalie Lewkowicz