Payment Security in the Real World: Compliance, Fraud & Human Error from Fwdays Tech Talks

Payment Security in the Real World: Compliance, Fraud & Human Error

1 hour 5 minutes Posted Dec 17, 2025 at 12:08 pm.

Intro

What should tech people really know about collecting and storing card details?

Any interesting real-life insights from designing secure payment solutions?

Why is PCI DSS such a big deal, and what does the compliance process actually look like?

Once card data is collected, how is it protected in real payment architectures?

How does tokenization help reduce exposure of sensitive card information?

Which country’s regulation or standard was the toughest to implement?

Tokenization vs storing card data: what’s allowed and why (PCI context)

What types of attacks are most common in payment systems?

What happens when a scam or fraudulent payment occurs, and who is responsible?

How can companies protect themselves from payment fraud and abuse?

Why do so many security breaches still come down to human error?

How are social engineering attacks planned, and how can employees be trained to stop them?

Final advice on building secure products from day one

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Show notes

Welcome to the third episode of Fwdays Tech Talks!

In today’s podcast, our regular speakers — Inna Ivashchuk and Kyrylo Melnychuk — are joined by special guest Maryna Rybalko to talk about payment security in practice, from collecting and storing card data to PCI DSS compliance, tokenization, and real-world fraud threats. They also explore why human error and social engineering remain some of the biggest risks — and how AI-driven scams are changing the security landscape

What you should subscribe to:

– More interesting content for developers: https://fwdays.com/en/events

– Fwdays Twitter: https://twitter.com/fwdays

– Inna’s LinkedIn: https://www.linkedin.com/in/inna-ivashchuk/

– Kyrylo’s LinkedIn: https://www.linkedin.com/in/kyrylo-melnychuk/

– Maryna’s LinkedIn: https://www.linkedin.com/in/maryna-rybalko-0a7721158/?originalSubdomain=uk

Timestamps:

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