​How LexisNexis & Riskified Defend Millions of Daily Transactions

​Speed gets attention. Predictability earns trust.

​As AI shifts from hype to core execution in real-time banking and e-commerce, the hardest problem isn't the model - it is the data layer beneath it. How do you evaluate complex ML fraud models on millions of live transactions without introducing latency or cost spikes?

​Join LexisNexis, Riskified and Aerospike, for an intimate invitation-only executive dinner, where we will explore the reality of real-time AI and what it takes to move ML fraud prevention from experimentation to predictable, ultra-low-latency production, at any scale.

​Featured Speakers

• ​Matthias Baumhof, CTO, ThreatMetrix
  Bringing 20+ years of cybersecurity and fraud prevention expertise to building secure and scalable platforms for financial institutions worldwide.

• ​Guy Machlev, VP of Platform Engineering, Riskified
  Leads Platform Engineering at Riskified, operating the global infrastructure behind its AI-driven fraud and risk intelligence platform.

• ​Srini V. Srinivasan, Founder & CTO, Aerospike
  A pioneer in distributed databases, Srini founded Aerospike to solve the challenges of real-time data at internet scale.

​📅 October 14, 2026
🕕 18:00 - 21:00
📍 Blueprint Event Space, London