The Deliberate Targeting of Community FIs

Fraudsters are coming for smaller FIs, on purpose.

For years, the assumption was that bigger institutions carried more risk. More customers, more volume, more exposure.

That’s changing.

Fraudsters are now deliberately targeting community FIs not despite their size, but because of it. AI tools let bad actors scrape public documents and leaked data to build targeted lists of customers at specific institutions. Smaller teams. Fewer detection layers. Faster payoff.

The math is working against smaller FIs right now.

What the Numbers Say

• 79% of community bank and credit union decision-makers reported direct fraud losses exceeding $500,000. 1
• One credit union processed nearly 6,500 fraud alerts in 2025 alone, about 20 per day, and absorbed more than $300,000 in fraud-related charge-offs annually. 2
• Fraud losses across the industry hit $579.4 billion in 2025. That’s up $53 billion from the year prior. 3
• And generative AI could push U.S. AI-enabled fraud losses to $40 billion by 2027, up from $12.3 billion in 2023. 4

Fraud Types Hitting the Hardest

The same categories, new trends, and higher losses.

• Check fraud 63% of FIs reported increased check fraud losses last year. 5 Check volume is down, but the average dollar value per item keeps climbing. That means every fraudulent item that gets through costs more.
• Business email compromise (BEC) losses totaled $2.77 billion in 2024, making it the second-costliest cybercrime category. 6
• Elder fraud AI-powered voice cloning and deepfakes are supercharging elder scams. Community FIs and credit unions tend to have older, more trusting member bases. Fraudsters know this.
• Push payment fraud The member authorizes the transfer themselves, which makes recovery nearly impossible. Impersonation scam losses hit $2.95 billion in 2024, up from $1.1 billion in 2023. 7

Why Smaller FIs are the Target

AI allows scammers to find weaknesses and vulnerabilities faster.

It’s not random, though. AI agents can now search the web, pull leaked data sets, and identify customers of a specific institution in minutes. Once they have a list, they run the scam at scale. Large institutions have dedicated fraud operations and layered detection. Smaller FIs are catching up, but the window is narrow.

The Myth

If something was really off, our existing review process would catch it.

The Reality

Check fraud is up. BEC is up. Elder fraud is up. The process was built for a different threat environment.

The Strongest Defense for Institutions Like Yours

The payment itself is where the strongest defense lives.

Training, policies, and transaction monitoring all matter. But the most effective layer sits directly at the point of origination, before the payment moves. What makes that possible isn’t a predictive model guessing at risk scores. It’s ground-truth account data contributed by real FIs with real return history, verified ownership, and account tenure.

That’s how AFS consortium intelligence works. FIs contribute real return and account data. AFS resolves it against deep account ownership history. And your team queries it before a check clears, before an ACH originates, before a wire moves. Every FI that participates makes the data stronger for everyone. That’s the network effect, and it’s what separates consortium intelligence from anything a standalone model can offer.

AFS data gives your institution access to that layer today. Cross-reference items against historical return data, flag counterfeits and closed accounts in real time, and stop misdirected payments before they leave your institution.

Learn more about TrueChecks

Final Thoughts

The fraud landscape is shifting, and smaller FIs are vulnerable.

The good news: awareness is the first step. Knowing how fraudsters select their targets and which fraud types are climbing puts your team in a stronger position to respond.

The institutions staying ahead aren’t necessarily the biggest ones. They’re the ones that have the right tools at the right point in the transaction.