Fraud Awareness Week - How SEON is your Fraud & AML Command Center with Husnain Bajwa

Code Story: Insights from Startup Tech Leaders

Today, we have a special episode correlated with Fraud awareness week, and brought to you by our friends at SEON - the command center for fraud prevention and AML compliance. SEON connects first party data signals to show you what other solutions can't - by enriching data, understanding context, and taking action from one place... to prevent fraud.

In this episode, we are talking with Husnain "HB" Bajwa, SVP of Product & Risk Solutions. He has been a fraud and risk leader for 30+ years, and leads innovation in fraud prevention and compliance at SEON. HB is going to touch on important topics in the fraud detection and prevention space, such as AI, regulatory pressures, and the perspectives of startups that can get them into trouble.

Questions:

• You’ve spent a lot of time in the world of fraud and compliance. What first drew you to solving these kinds of problems?
• Startups often focus on growth first and worry about fraud later. What’s the hidden risk in that mindset?
• Why do you believe fraud prevention and AML compliance are converging, and what are the benefits of them living in the same system?
• AI gets talked about a lot, but in your view, what are the real, practical ways it’s improving fraud and AML work today?
• We’re seeing more regulatory pressure globally. How can organizations prepare for 2026 to ensure they are taking a risk-based approach to compliance?
• I know your team’s been working on some big innovations, including a new compliance suite built on top of your fraud prevention stack and new AI-driven tools. How are these helping investigators connect the dots faster and uncover hidden relationships, especially when it comes to complex cases?
• What advice would you give to early-stage startups that might think they’re ‘too small’ to be targeted by fraudsters?

Links

• https://seon.io/
• https://seon.io/editions/flexible-analysis/
• https://www.linkedin.com/in/hbajwa/

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