Darwinium is a cyberfraud prevention platform that provides scalable customer protection without complexity.

Darwinium

Darwinium is built for security and fraud leaders to better protect end user accounts without compromising online experience or privacy. 
 
Digital account security remains an unsolved problem. Businesses are currently relying on legacy solutions that were built to protect high-risk touchpoints - such as onboarding or login - but are repeatedly breached by fraudsters targeting new vulnerabilities in the customer journey. The speed and efficacy of attacks have increased, facilitated by AI tooling and human click farms. Businesses are restricted by siloed systems, multiple disparate solutions, and privacy constraints that fraudsters bypass.
 
Darwinium is a cyberfraud prevention platform that unites digital security with fraud prevention to detect intent online. It provides complete visibility of user behavior across every digital touchpoint, giving businesses the agility and control to protect end user accounts from fraud, scams and abuse. Real-time analytics are combined with the ability to decision and act on intelligence immediately. One Darwinium customer protected 20 individual touchpoints, across 8 user journeys, in just 1 month, removing reliance on engineering resource to deploy new solutions.
 
The entire ecosystem is designed to maintain the privacy and security of end users, only ever using a truly anonymized version of encrypted data. This same data has been used to build proprietary “digital signatures”: a unique way to better recognize returning users based on their previous behaviors. This approach removes the reliance on fixed pieces of information relating to devices or identities which introduce high levels of friction and false positives. Another Darwinium customer increased returning user recognition to 99.95% using Darwinium’s digital signatures.

Prior to Darwinium, the co-founding team co-founded, built and scaled ThreatMetrix, the Digital Identity Company, that sold to LexisNexis Risk Solutions in 2018. 

CyRise

Blackbird Ventures

AirTree Ventures

Bardia Housman

Dean McEvoy

Jeff Fagnan

Matt Farnell

Naval Ravikant

Simon Baukh

We’re currently working with a global gaming company that has increased the recognition rate for returning users to 99.95% using Darwinium #DigitalSignatures.

The company found that fraudsters bypass existing controls to repeatedly sign up for new player bonuses. This included:

• Use of automated tools to sign up for mass bonus tokens. 
• Cookie wiping/use of private browsing to bypass device recognition intended to restrict abuse of multiple new player bonuses. 
• Use of proxies/emulators to trick the system into generating multiple new bonus tokens. 
• Use of a captcha solver to bypass protections in place. 

Darwinium digital signatures simplified the identification of these  #BonusAbuse behaviors, allowing the gaming company to uncover new patterns of unwanted behaviors and fraudulent networks that other solutions missed, without inconveniencing good customers.

The link is in the comments if you’d like to read the full case study. Drop us a line if you would like to see a demo of digital signatures in action.

Rebekah Moody, Ed Whitehead, Tyler M. E., Alex F., Alisdair Faulkner, Ben Davey, Natalie Lewkowicz, Caleb Moore, James Graham

Join Rebekah Moody and Ed Whitehead for this webinar today, hosted by the Loyalty Security Alliance. They'll be taking a deepdive into the changing fraud landscape for online travel agents, eCommerce merchants and airlines, and looking at the new wave of #accounttakeover attacks.

Alisdair Faulkner, Ben Davey, Natalie Lewkowicz, Jody Freedman, CMP, Caleb Moore

Datos Insights recently profiled Darwinium in their Q2 2024 Risk Insights and Advisory Fintech Spotlight. 

Here's what they had to say about the technology: "Darwinium is at the forefront of revolutionizing the fight against online fraud and cybersecurity threats. At the core of its innovative approach is the concept of digital signatures, which combines device fingerprinting and #BehavioralBiometrics to reliably identify users in an increasingly privacy-conscious digital landscape. 

Darwinium’s #BehavioralIdentification method addresses the challenge of recognizing returning users and separating trusted customers from potential risks in a world where traditional fingerprinting techniques are becoming obsolete.

What makes Darwinium even more noteworthy is its ability to deploy security and #FraudPrevention capabilities directly at the network edge via its CDNs. This architectural innovation allows for fast, scalable risk decisions without the latency and engineering overhead of traditional deployment methods. 

Furthermore, Darwinium's privacy-centric approach, pushing data classification, encryption, and anonymization to the edge, safeguards both businesses and end users. With powerful machine-learning capabilities, proactive anomaly detection, and full visibility into digital user journeys, Darwinium is arming enterprises with a solution that can enable them to stay ahead of evolving AI-powered threats and keep abreast of the complex regulatory environment."To read the full profile, check out the link in the comments. Thanks so much Gabrielle Inhofe, Siobhan Scanlan and Julie Conroy

Alisdair Faulkner, Ben Davey, Caleb Moore, Rebekah Moody, Ed Whitehead, Alex F. Tyler M. E., James Graham, Natalie Lewkowicz

Trends in online fraud detection often act as the canary in the coal mine when it comes to understanding and combating the next generation of online scams, fraud and cybersecurity threats. These days, security and fraud experts worry that insufficient user and data privacy protections will kill the canary. Retailers, on the other hand, need to implement stringent privacy and security controls without impeding the customer experience.

https://lnkd.in/dsdCB62T

Caleb Moore - Darwinium
#onlinefraud #frauddetection #dataprivacy #cybersecurity #netsec #security #infosecurity #CISO #ITsecurity #cybersecuritynews #securitynews

Let's talk data privacy and security in #cyberfraud prevention. 

Many changes and modifications to device recognition online have been implemented to preserve customer privacy. But this poses a problem when it comes to recognising trusted users and identifying potential threats. 

Web browsers have become much more privacy conscious. Incognito or private browser mode is available in all browsers and is increasingly used by normal users with nothing to hide. 

Browsers have started automatically clearing their cache and local storage for the same site when they clear cookies, which has blocked many of the opportunities to store supercookies. 

To make things more complicated, in an increasingly mobile-first world, mobile interactions now make up the majority of web traffic. These devices use standardized hardware and come pre-installed with the same operating system, browser, and other software. They are very rarely customized by the user in the same way PCs/laptops are. 

Devices using mobile data also frequently change IP addresses compared to home connections, making the IP address less suitable for device recognition purposes. 

Previously common plugins (PDF, SVG, Flash, Java) which would each have their own information associated with them, like their version, have been replaced with inbuilt features of the browser. Browser auto-update works seamlessly, keeping everyone more-or-less using the same version of the browser, which removes further uniqueness. 

With this lack of uniqueness, it has become very difficult to consistently identify devices with enough confidence to assign a device a consistent name. 

At Darwinium, we recognize that privacy of user data can co-exist with device fingerprinting and returning user recognition for digital security and fraud prevention, without compromise. We have built a set of digital signatures for devices and user behaviours that are designed to prevent fraud in a way that treats privacy with the utmost of respect. Interested in learning more about our approach to #dataprivacy and #digitalsecurity? Read this article by our co-founder and CTO Caleb Moore for HelpNet Security, and check out our Whitepaper on future-proofing device recognition. Links are in the comments.

Ben Davey, Alisdair Faulkner, Ananth Gundabattula , Ph.D, Colin Goldie, Ed Whitehead, Alex F., Tyler M. E., Rebekah Moody, Natalie Lewkowicz

The end of a fantastic week for team Darwinium at Money20/20 Amsterdam, full of insights, learnings and catching up with industry friends, colleagues and customers. Some key themes stood out:

💡The importance of the #customerjourney for building trust and lifetime value. Consumers want low-friction high value interactions at every touchpoint with the brands they trust. Fintechs want end-to-end control of the customer journey with white-label payment solutions. Fraud prevention solutions need end-to-end visibility and context of every customer interaction without gaps and siloes.

💡The payments ecosystem is creating a complex mesh of alternative ways to pay - including loyalty points and rewards payments - that are diversifying the existing market of cards, digital wallets, BNPL and cryptocurrencies. This new level of complexity is creating a bigger attack surface for cyber-fraud, pushing high-risk behavior beyond the payment interaction, upstream to account takeover and outwards to API abuse.

💡Scams and APP fraud remain firmly on the agenda despite the elevation in awareness, education and detection that have helped reduce complex investment and impersonation scams. Fraudsters are turning their attentions to high volume, low value purchase scams that can be harder to detect and block.

#fraudprevention #accountsecurity

Alisdair Faulkner, Ben Davey, Caleb Moore, Ed Whitehead, Michael Brooks, Rebekah Moody, Jody Freedman, CMP, Natalie Lewkowicz

Metric
Company Name	Darwinium
Symbol
MSH ID	COM:DARWINIUM
Market	PRIVATE
Sector	Technology
Industry	Cybersecurity
Country	US
Stage
Employee Count
Website	darwinium.com
LinkedIn	darwinium
Founders

Metric
Market Cap
Enterprise Value
Monthly Web Traffic
Web Traffic Growth
Valuation
Raised Capital

Metric
Revenue
Revenue (LTM)
Revenue (NTM)
Gross Profit
EBITDA
Operating Income
Net Income
EPS
Diluted EPS
Revenue 2022
Revenue 2023
Revenue 2024
Revenue 2025
Revenue 2026

Metric
Revenue Growth (LTM)
Revenue Growth (NTM)
Gross Profit Growth (LTM)
EBITDA Growth (LTM)
Net Income Growth (LTM)
14-Day Growth Score
28-Day Growth Score
90-Day Growth Score
365-Day Growth Score

Metric
Gross Profit Margin
Operating Profit Margin
EBITDA Margin
Net Profit Margin
Return on Equity
Return on Assets
Return on Capital Employed

COM:DARWINIUM

Darwinium

Company Overview

Market Metrics

Financial Performance

Growth Metrics

Profitability Ratios

Valuation Multiples

Operational Metrics

Cash Flow Metrics

Balance Sheet Metrics

Efficiency Metrics

Metric
P/E Ratio
P/B Ratio
Revenue Multiple (LTM)
Revenue Multiple (NTM)
EBITDA Multiple (LTM)
EBITDA Multiple (NTM)
Price to Sales Ratio
EV Multiple

Metric
Days Sales Outstanding
Days Payables Outstanding
Days Inventory Outstanding
Operating Cycle
Cash Conversion Cycle
Asset Turnover

Metric
Operating Cash Flow
Free Cash Flow
Cash Flow to Debt
Operating Cash Flow/Sales
Free Cash Flow Yield

Metric
Cash & Equivalents
Accounts Receivable
Inventory
Goodwill
Debt to Capitalization
Debt to Assets
Current Ratio
Quick Ratio

Metric
Rule of 40 (LTM)
Rule of 40 (NTM)
Stock Comp to Revenue
R&D to Revenue
SG&A to Revenue