Las Vegas doesn’t just shine under its neon lights. It’s a city where more than $15 billion changes hands every year, and it’s no coincidence that the financial industry’s most important event is held here annually. Amid the hustle and bustle of the more than 6,000 people in attendance, Tthe useful lesson was quieter: fraud now moves at AI speed, so defense becomes a nervous system, not a wall. This isn’t about adding steps. It’s about listening better and gathering data to make smarter decisions.
If you lead Compliance, Fraud (Head of Fraud), Technology (CIO/CTO), or if you are interested in the current state of the financial industry, this is for you. It doesn’t recap sessions. It explains what changed and how to run it without breaking experience.
What has changed in the financial industry
AI is redefining fraud and AML
New AI models are helping financial institutions move from reactive to predictive approaches in Fraud and Anti-Money Laundering, detecting anomalies in real time and anticipating threats before they materialize. The focus is increasingly on connecting the dots — correlating device, identity, behavior, and transaction data to gain a holistic view of risk.
The rise of adaptive and data-driven compliance
As financial crimes grow more complex, from synthetic identities to cross-chain laundering, institutions are rethinking their technology stacks. Adaptive, data-driven systems that combine transactional, behavioral, and contextual insights are now essential to detect risks across both traditional and crypto ecosystems.
Collaboration and data intelligence as the new resilience
One of the strongest messages at Money 20/20 was the importance of data sharing and collective intelligence. The concept of a data stack — combining AI-proof signals such as history and authority — is key to building trustable and verifiable data sources. Consortiums and federated learning initiatives allow financial institutions to share insights securely, enhancing the industry’s collective ability to detect and respond to evolving fraud patterns.
Catching fraud before it catches you
We brought an Identity-First Security model that places who at the center of how decisions are made. Fraud operates in layers: synthetic IDs slipping past KYC, credential stuffing evading 2FA, mule networks scaling quietly. With cybercrime projected to cost billions annually, the mandate is clear: intervene earlier.
We work across three dimensions of protection:
- Who you are: verified identity through advanced biometrics and liveness.
- What you do: behavioral analysis and transaction monitoring that models intent.
- Who you connect with: network intelligence and relationship mapping to expose mule patterns.
The result is less unnecessary friction for good users and stronger proof when risk rises. It’s not about adding more controls. It’s about adding smarter ones.
The cost of cybercrime will reach 10.5 trillion dollars annually by 2025, as we show in our Fraud Intelligence Fraud Report. So, we operate in three dimensions of protection, based on verified who you are, what you do, and who you connect with. Discover our full pack of solutions.
As Money 20/20 USA made clear, the financial ecosystem is entering a new era — one defined by intelligence, interoperability, and trust. Building the future of finance means not only adopting advanced technologies but also fostering collaboration across industries to outpace emerging threats. At Facephi, we believe the foundation of this new landscape lies in identity: securing every interaction, empowering every transaction, and enabling organisations to stay one step ahead of fraud.