Mark Taylor
Mark has over 18 years’ worth experience in the fraud and risk industry having worked with the UK’s largest banks and acquirers, setting up operational teams to oversee fraud strategies and loss management. Mark’s been responsible for fraud teams specialising in card, telephony and digital payment fraud in the retail and commercial sectors and has led strategic transformations by introducing new fraud technologies, where he has enhanced fraud and customer experience strategies. Currently, Mark is a Fraud Market Expert for Featurespace, the world leader in Adaptive Behavioral Analytics.
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Prepare for Emerging Identity Fraud Schemes and What to Do Next
Identity fraud looms large for every organization. The algorithms and machine learning methods we used to combat fraud are the same types of tools fraudsters can easily deploy. Combined with nefarious, automated bots, cybercriminals are employing sophisticated identity fraud schemes to gain access to consumer accounts or directly create fraudulent accounts with...
AI and Fraud Prevention: Part 4
Mapping the Maze: Integrating AI and Machine Learning into Your Fraud Defence Strategy It is an interdependent partnership. Integrating AI enhanced machine learning (ML) into your existing fraud solutions may feel as complex as constructing a radio from scratch. However, understanding the process can guide you through this integration as smoothly as...
AI and Fraud Prevention: Part 3
How do we crack the conmen’s code: Harnessing the Predictive Power of AI and Machine Learning We need to find the signals that are meaningful. As fraud fighters, we often find ourselves in the role of radio operators. Our main task? To decipher complex patterns - our 'signals' - hidden within the...
AI and Fraud Prevention: Part 2
What is it about AI that can cut through the fog of complex fraud prevention? It “sees” specific bad behavioral patterns more clearly than traditional methods. To many fraud fighters, the promises of technology can often feel like an echo in a cavern—loud, persistent, but hollow. And among these echoes, AI-Enhanced machine...
AI and Fraud Prevention: Part I
Sharing knowledge is a two-way street. I advise and equally I like to learn. With all the fuss about AI I wanted to know more about its potential for counter-fraud, so I tracked down a recommended AI Subject Matter Expert specialist to ask him some questions. He asked me about fraud and...
Investment, Acquisitions & IPOs – Q2 2023
Q2 has come to a close, so it’s time for our quarterly investment update. Have a read to learn more about the relevant moves in the industry! Funding ID.me Secure digital identity network ID.me has raised $132m in its Series D funding round and appointed Samantha Greenberg as its new chief financial...
Fraud Fight Club
What do you get when you combine a passionate community of fraud fighters with a boxing ring and loads of knowledge and energy… Fraud Fight Club. Fraud Fight Club was designed to be more than a conference. It’s a club. It’s your best fraud fighting pals (you know and don’t know) descending...
Five Motives for Using a Counterfeit ID
Many solution providers and government agencies tout the rise of identity fraud. During the pandemic, unemployment insurance and PPP fraud was rampant. The identity fraud problem garnered the attention of the U.S. Senate and House of Representatives. A bill called “Improving Digital Identity Act of 2023” is making its way through the...
Underpinning Fraud Prevention with Email Data
The world is increasingly digital. Even prior to the pandemic we were on a trajectory towards digital-first engagement, and in just a few months’ time the COVID-19 crisis accelerated the digitization of companies’ customer interactions by 3 to 4 years (McKinsey). As of 2022, close to 4.26 billion people – over 50%...