Verifying age with email address age estimation

profile picture Sofi Summers 5 min read
Illustration of email based age estimation to determine if user is over 18

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Why testing data is as important as training data for machine learning models

When developing machine learning systems for facial age estimation, the conversation often centres on the training data: how much you have, how diverse it is, how inclusive it is, and how well it represents your end users.  Not to mention, where the data comes from.  Intuitively, that focus makes sense. More data presumably leads to better models. But test data is just as important, and in some ways, even more critical for ensuring models perform effectively. Training data: more isn’t always better Common sense would suggest that for a machine learning model “the more data, the better.” And that’s

4 min read
An image showing a woman using her mobile phone. An illustration shows that the owner of the account matches the person who attempting to log into it.

Protecting your business and customers from account takeover

In today’s digital world, we have dozens of online accounts. These range from online banking to social media, dating apps to gaming platforms. Though convenient, this opens the door to the rapidly growing threat of account takeover fraud. Account takeover fraud is surging, with global losses expected to hit $17 billion by the end of 2025. The number of account takeover attacks is rising sharply too, increasing by 24% year-over-year in 2024. This blog walks you through what account takeover is, how it happens and what you can do to prevent it.   What is account takeover? At its

8 min read
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Effective ways to improve your AML compliance

Managing financial crime presents a complex challenge for financial institutions. Due to its covert nature, the full scope of money laundering is difficult to truly know. The United Nations Office on Drugs and Crime (UNODC) estimates that between 2-5% of global GDP (up to $2 trillion in US dollars) is laundered every year. As financial crime becomes more sophisticated and regulations grow tighter, businesses must prioritise robust anti money laundering (AML) measures. Industries like banking, fintech and financial services need strong AML processes to protect themselves from fraud, penalties and legal risks. We explore how your business can strengthen

7 min read