Darwinium

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

“What are you going to do when your most valuable customers and your biggest threats both use the same AI bots?” Was the question I posed in my session at the MRC | Merchant Risk Council Vegas back in 2022. That time is now. In an age when it is digitally impossible to differentiate between a valid interaction and a synthetic twin the game moves from verifying identities to detecting intent. Intent detection is the common thread that links both Adversarial AI and Social Engineering attacks e.g “Are you a trusted AI bot used for evil?” or “are you a trusted user being manipulated?”. To beat AI you need better AI based on actionable intent data and requires - Breadth of data: Full view of a user journey, covering the full ‘customer perimeter’ (CDN/APIs, web and mobile) to detect hidden threats that bypass siloed solutions. - Depth of Data: Comprehensive insight and risk signaling based on the combination of device, identity, behavior, transactions and 3rd party signals. A system of record uniting security, fraud and identity. - Ability to Adapt faster than Humans: Protective measures that can hold the customers hand through any necessary friction while being able deploy new detections and models based on configuration instead of relying on engineering release cycles. Ultimately Defensive AI will need ‘human in the approval loop’ but not in the execution. I describe Darwinium as the company I have been building towards my whole life to prepare for the time when ‘machines fighting machines’ was a reality. We started building our Cyberfraud Prevention Platform over 3 years ago to address this existential threat of Adversarial AI. At that time AI was considered to be ‘fairy dust’ by fraud and security professionals. Now it’s real. #adversarialAI #journeyprotection #cyberfraud

#Accountsecurity is a hot topic right now, with new threats targeting digital customer journeys, looking for vulnerabilities not covered by traditional fraud solutions. While touchpoints such as logins and payments have been well protected by legacy solutions, fraudsters have simply pivoted focus to new vulnerabilities such as exposed API endpoints, loyalty and bonus redemption pages, password resets / details change pages and new listings or reviews. One example we've detected recently was a bonus abuse attack that was: ??Bypassing device recognition using cookie wiping and private browsing ??Using proxies / emulators to trick systems into generating multiple new bonus tokens ??Using a captcha solver to bypass protections in place Customer journey-level visibility is critical, identifying risky behavior that might slip beneath the radar of traditional #fraudprevention solutions or bypass existing controls that fail to detect more complex attacks. While the scale of risks is extensive and growing, there are solutions that can integrate simply and provide visibility and context of user behavior across every touchpoint. To read more about Darwinium's approach to account security, download our new whitepaper, link in the comments. Alisdair Faulkner Rebekah Moody Ben Davey Caleb Moore Colin Goldie Ananth Gundabattula , Ph.D Paul Cloutier Ed Whitehead Alex F. Tyler M. Early Peng Leong Michael Brooks James Graham

Ensuring Fair Play and Responsible Gambling in the Online Gaming Industry ?? As online gambling continues to grow, so do the challenges of ensuring fair play and safeguarding players. Advanced fraud prevention and responsible gambling strategies are reshaping the industry, creating a safer and more trustworthy space for everyone. In our latest blog, we explore: ?? Common fraud threats like account takeovers, bonus abuse, and money laundering.? ?? How technologies, like Darwinium, support responsible gambling by identifying risky behaviors early on. ?? Continuous monitoring and real-time insights that empower operators to protect players proactively. From enhanced self-exclusion measures to personalized interventions, discover how these tools are helping operators promote fair play and player safety. Read more on how to safeguard the gaming industry: Link to the blog in the comments Stephen Purvis Rebekah Moody Ed Whitehead Ed Whitehead Alex F. Tyler M. Early Natalie Lewkowicz #ResponsibleGambling #FraudPrevention #GamingIndustry #Darwinium

The Darwinium team has had a fantastic week in Sydney. It’s been great to be together, meet with customers, and plan for an exciting 2025 as we help the businesses we serve protect every customer journey from complex fraud. 2024 continues to be an incredible year. We have brought a new approach to account security to market; an approach that provides complete visibility of user behavior across every touchpoint, removing the vulnerabilities that fraudsters are pivoting to with human-like bot attacks, AI-driven scams and new abuse use cases. If you are interested in seeing a demo of the product in action, drop us a line. Until next time Bondi! Alisdair Faulkner Peng Leong Paul Cloutier Ed Whitehead Ben Davey Caleb Moore Rebekah Moody