Alloy

I just wrapped up a conversation with @Nasdaq TradeTalks about the practical future of AI in fraud prevention. My top takes: - The Shift from Hype to Reality. We're finally moving past the AI headlines to tangible solutions. The key distinction? It's not about informational AI that just tells you something's wrong – it's about actionable AI that completes the loop: identify the risk, prescribe the action, and enable execution seamlessly. - More Efficient, Not New. I challenge the narrative that AI is making fraud more sophisticated. The reality is that AI is making fraudsters more efficient at the same old tricks – identity theft, account takeover, social engineering. The good news? We can use those same efficiency gains to stay ahead of them. - From Cost Center to Growth Driver. When financial institutions can increase approval rates and control over their money for good customers, fraud prevention becomes a powerful growth enabler, not just a necessary expense. Ultimately that all means that fraud strategy (and the right technology!) can become a growth driving competitive advantage for any financial institution! https://lnkd.in/gain33a2

AI has been a source of both fear and excitement in the financial services industry for years. The advent of GenerativeAI (GenAI) has only intensified the buzz around AI. But what does this mean for fraudsters? And more importantly, what does this mean for the crucial task of fraud prevention? Learn about the latest AI-driven fraud trends and what FIs and fintechs can do about it in this post with our partner Inscribe AI. https://okt.to/4c1eV3

. Brian Russell's career spans some of the most iconic institutions in the financial world, including leadership roles at MasterCard, JPMorgan Chase, and Wells Fargo. Most recently, as SVP in the Chief Digital Office at U.S. Bank We recently had the opportunity to sit down with him for a candid conversation about: 👉 Lessons from his decades of leadership in digital innovation. 👉 How financial institutions are evolving in the face of emerging threats. 👉 His vision for the future of digital identity and authentication. https://okt.to/8uOUpE

Fraud losses can cost financial institutions a lot more than the initial dollars lost. Recent reports have found that each $1 lost can cost FIs $4.76 after fines and churn. On the other hand, FIs that adopt proactive fraud prevention policies have saved $5 for every $1  invested. Examine the economics and strategy shifts shaping 2025 fraud prevention in our blog: https://okt.to/XlQRtY

Digital identity isn’t static anymore—it’s living data that evolves and demands smarter defenses. In her Money20/20 EU interview with The Paypers, our Co-Founder & President Laura Spiekerman unpacked: 📈 How AI-enabled crime rings are reshaping fraud risk 🇪🇺 What eIDAS 2.0 and the UK’s digital ID pilots mean for next-gen compliance 🌍 How Europe’s push for interoperable identity wallets can help accelerate cross-border finance Dive into the full interview here ➡️ https://okt.to/tcV2d5

A new CIP exemption allows banks to prefill customer TINs from reliable third-party data sources. This shift promises faster account opening, but it also surfaces new questions: 🔹 How do we preserve transparency when sensitive data is pre-filled? 🔹 What controls stop fraudsters from exploiting stolen devices? 🔹 Which data orchestration patterns keep compliance teams confident as workflows evolve? We explored the opportunities, challenges, and next steps in our blog: https://okt.to/27lnFf

Tired of the "fraud prevention as a cost center" conversation? Our new ebook offers a clear roadmap to demonstrating how modern identity and fraud platforms are actually strategic growth drivers and cost-savers. Learn the steps to break down internal silos, secure crucial cross-departmental buy-in, and showcase the true value of investing in robust fraud prevention for both security and growth. Download the ebook: https://okt.to/Cls7OB

Use automation to help your organization unlock new business opportunities and growth. Read the story of our work with IncredibleBank to find out how Alloy can help: https://okt.to/8Zgy3W

Thomson Reuters' analysis of financial crime in the instant payments era hits the nail on the head: the expectation of low friction in our everyday transactions has placed increasing pressure on traditional banks to develop less complicated verification and monitoring systems for quicker onboarding. And yet at the same time, fraud rates continue to rise. To balance the need for security and a good user experience, financial organizations see a need for “friction-right” banking that protects customers without unnecessarily impeding real-time transactions. Smart banks today are doing this by adopting a multi-layered approach that includes robust onboarding processes, machine learning algorithms, behavioral biometrics, and industry-wide data sharing. And those that aren’t yet are on the path to get there. https://okt.to/vWwurs

Agentic AI is increasingly on the radar for banks and fintechs looking to streamline compliance—and with it comes big questions: How do we deploy it responsibly? What makes it explainable to regulators? And where is it actually useful? Last week in London, Alloy’s UK team hosted our latest roundtable dinner focused on this topic. I had the pleasure of welcoming Paul Taylor, VP of Product Management at Smarsh, as our keynote guest. Together, we unpacked some of the most promising (and misunderstood) use cases for agentic AI in compliance and risk management. While many applications are still emerging, a few resonated strongly with the group: 🔍 Detecting unusual behaviour: Agents can analyse not just the data—but the context around it—and escalate suspicious activity in real time. 🚫 Reducing false positives: AI agents can refine what’s left after a false positive, continuously learning to catch what may be missing. 🧠 Smarter KYC: Agents can direct other agents to gather and aggregate unstructured data—like public social media—to build a fuller picture. At Alloy, we’re partnering with solutions like Greenlite AI and Parcha to do this today. ⚡ Staying ahead of change: With AI agents evolving so quickly, experimentation today is essential. Teams that test and learn now will be best positioned to deploy actionable AI in the future in a way that maintains compliance with global regulations. Paul left us with a thought that stuck with me: AI agents don’t log off. As they keep working, how long until they flag risks we haven’t even imagined? Thanks to everyone who joined the discussion—excited to keep exploring what’s possible.