The game of (fraud) Risk

by Guest Contributor 3 min read November 6, 2015

Game of fraud riskWhile walking through a toy store in search of the perfect gift for a nephew, I noticed the board game Risk, which touts itself as “The Game of Global Domination.” For those who are unaware, the game usually is won by players who focus on four key themes:

  • Strategy — Before you begin the game, you need a strategy to attack new territories while defending your own
  • Attack — While you have the option to sit back and defend your territory, it’s better to attack a weakened opponent
  • Fortify — When you are finished attacking, it’s often best to fortify your position
  • Alliances — While not an official part of the game, creating partnerships is necessary in order to win

These themes also are relevant to the world of real-life fraud risk prevention. The difference is that the stakes are real and much higher.

Let’s look at how these themes play out in real-life fraud risk prevention:

  • Strategy — Like in the game, you need a strategy for fraud risk detection and prevention. That strategy must be flexible and adaptable since fraudsters (your enemies) also continuously adapt to changing environments, usually at a much quicker, less bureaucratic pace. For example, your competitors (other countries) may improve their defenses, so fraudsters will mount a more focused attack on you. Fraudsters also may build alliances to attack you from different vectors or channels, resulting in a more sophisticated, comprehensive strike.
  • Attack — As the game begins, all players have access to all competitors (countries). This means that fraudsters might have the upper hand in a certain area of the business. You can sit back and try to defend the territory you already “own,” where fraudsters have no traction, but it’s best to be aggressive and attack fraudsters by expanding your coverage across all channels. For example, you might have plenty of controls in place to manage your Web orders (occupied territory), but your call center operations (opponents’ territory) aren’t protected, i.e., the fraudsters “own” this space. You need to attack that channel to drive fraudsters out.
  • Fortify — In the game, you can fortify your position after a successful move — that is, move more troops to your newly conquered territories. In real life, you always have the option to fortify your position, and you should constantly look for ways to improve your controls. You can’t afford to maintain on your current position, because fraudsters constantly are looking for weaknesses.
  • Alliances — In business, we often are hesitant to share information with our competitors. Fraudsters use this to their advantage. Just as fraudsters act in a coordinated fashion, so must we.
    • Use all available resources and partners to shore up your defenses
    • Leverage the power of consortium data
    • Learn new methods from traditional competitors
    • Always team up with internal and external partners to defend your territory

If you apply these themes, you will be positioned for global domination in the fight against fraud risk. You can read more about fraud-prevention strategies in our recent ebook, Protecting the Customer Experience.

As a side note, I’m always ready for a game of Risk, so contact me if you’re interested. But be forewarned — I’m competitive.

Related Posts

Customer Spotlight: How Matrix Rental Solutions Strengthens Trust in Affordable Housing

Learn how Matrix continues to deliver a secure, trusted rental experience as fraud tactics evolve. Read more!

July 31, 2026 by Laura Burrows
What Is AI Decisioning?

Every business makes decisions about people and transactions all day long. Should we approve this loan? Is this purchase fraud? Which customer should get this offer, and what should it be? For a long time, those decisions were made in one of two ways: a person reviewed each case by hand, or the company wrote fixed rules, like "approve anyone with a credit score above 700." Both work. Both also leave value on the table. The manual review is slow and hard to scale. The fixed rule can turn away good applicants and is slow to adapt when the market shifts. AI decisioning is a third way. What makes AI decisioning work Instead of relying on a single reviewer or a rigid rule, automated decisioning uses models that learn from data — studying how thousands of past cases turned out, finding the patterns that predict an outcome, and applying them to each new decision, often in real time. The result is faster, more consistent decisions. But a model on its own isn't the whole story. Getting real value from AI decisioning takes good data to learn from, AI analytics to generate insights, the tools to act on it and the governance to keep it compliant. What we've found is that the pieces only pay off when they work together, and that is where we're built differently. A model is only as good as what it learns from, and we pair your data with one of the deepest views of consumer and commercial credit: decades of full-file history and vetted attributes. Then we give you the tools to act on it. Use cases across your business Whether you're trying to grow your customer base, reduce fraud, manage lending risk, or improve collections, automated decisioning brings all the pieces together to make more accurate, consistent and explainable decisions at scale. Fraud and Identity A fraudulent transaction that slips through costs money and erodes trust. Rules are static, and fraudsters move fast. They'll probe boundaries, find the blind spots and move to the next scheme. By the time the rules are updated, they're already three steps ahead. How AI decisioning changes this: AI fraud detection with real-time risk scoring and decisioning across transactions and customer interactions Intelligence that continuously learns from results to help adapt fraud strategies as threats evolve Reduced false positives and less friction for customers at account opening and checkout Identity verification tools that confirm someone is who they say they are without slowing down the experience Credit and Lending Loan approval is where the relationship begins. Credit risk decisioning helps lenders find that delicate balance between approving enough people to grow, but carefully enough to manage risk. Missing that balance means turning away good customers or taking on losses that are difficult to absorb. How AI decisioning changes this: Increased approval opportunities for creditworthy applicants without increasing overall risk Models you can update and deploy quickly as market conditions change, rather than waiting months Ability to run "what-if" scenarios to test how a new strategy would have performed on your historical data before putting it live Collections Which customer should your team reach out to today? Through which channel? What kind of message? If you reach out too aggressively, you push someone who might have recovered into default. If you wait too long, you lose them. If you call someone at work, they resent you; if you text, they might ignore it. If you offer a payment plan, they might accept it, but only if the terms make sense to their financial situation. How AI decisioning changes this: Optimized next-best-action and contact-channel strategies for each individual customer Improved recovery potential through better targeting Less time spent on accounts with a lower propensity to pay, freeing your team for higher-impact cases Ability to segment and test new strategies before rollout Customer Acqusition Finding the right customers is about reaching the right people with the right offer at the right time. To stay competitive, it’s now a requirement to balance growth with risk while creating a seamless experience converting prospects into customers. How AI decisioning changes this: More precise prospect targeting using credit, behavioral, and alternative data, where permitted, to identify consumers most likely to respond Personalized offers delivered in real time Dynamic decision strategies that can be updated quickly as market conditions and customer behavior change Ongoing testing and optimization of acquisition strategies to improve campaign performance and support customer lifetime value Driving results with AI decisioning Every customer interaction is a decision. Businesses that can adapt quickly will be better positioned to grow, manage risk, and deliver the experiences customers expect. The technology will continue to evolve, but the goal remains the same: making informed decisions that balance business objectives, risk, and customer experience. Learn more about our decisioning software

July 27, 2026 by Zohreen Ismail
Why Innovation Matters for Members First Credit Union

Learn how Members First Credit Union uses innovation and data-driven insights to better serve members and expand financial opportunity.

July 24, 2026 by Scarlet Nickel

Subscribe to our Newsletter

Enter your name and email for the latest updates.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Subscribe to our Newsletter

Don't miss out on the latest industry trends and insights!
Subscribe