OrboGraph

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We are proud to announce that Kinective has acquiredof OrboGraph, marking the future of intelligent banking smarter and even more secure!

For years, financial institutions have been asking for stronger, more advanced tools to address check fraud. That need has only intensified, with check fraud surging 385% since the pandemic.

This next chapter brings together OrboGraph’s long-standing expertise in AI-driven check fraud detection with Kinective’s comprehensive banking operations platform. The result is a stronger foundation for how institutions detect, prevent, and respond to fraud.

As part of Kinective, OrboGraph’s technology will continue to evolve within a broader platform built to turn data into actionable insight, supporting smarter, more secure banking experiences.

Read more in the press release:
https://t.co/9Ssb6pt9H2

#FraudPrevention #AI #KinectiveAcquiresOrboGraph #IntelligentBanking

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The report also reinforces what fraud teams already know: technology plays a critical role. Advanced analytics and AI are increasingly critical, but consumer perception and education are becoming part of the risk equation as well.

The latest OrboNation blog breaks down what this data means for financial institutions, and why the consumer lens is becoming harder to ignore when it comes to check fraud.

https://t.co/sVG2C2ol6h

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A new report from Featurespace found that 54% of U.S. consumers have seen an increase in check fraud attempts, climbing to 72% among those who have already been victimized.

When fraud attempts rise, customer trust is tested and questions increase; expectations change, and financial institutions are under pressure not only to detect fraud, but to communicate and educate more effectively.

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Fraud isn’t slowing down—it’s accelerating. In 2025, global fraud losses hit an estimated $442 billion, with nearly 70% of adults worldwide encountering a scam, according to the GASA Global State of Scams 2025 Report.

As fraudsters grow more sophisticated, financial institutions must be ready for emerging threats like synthetic identities, deepfakes, account takeovers, money mule activity, and emotionally driven scams—risks that will only intensify in 2026 and beyond.

To stay ahead, many organizations are turning to Explainable AI (XAI). Unlike traditional “black box” models, XAI brings transparency to fraud detection by clearly showing why a transaction, item, or account is flagged. This clarity helps fraud analysts work faster, make more accurate decisions, and meet rising regulatory expectations for trust and accountability.

Read today’s blog post to learn how XAI is critical for check fraud detection.

https://t.co/VIMrbeu8yP

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New account fraud is one of the fastest-growing threats facing financial institutions—and it often starts long before any money moves. Fraudsters are taking advantage of gaps in the onboarding process, using synthetic identities, stolen credentials, and automation to create accounts that look legitimate at first glance.

Yet many institutions still rely on traditional, static identity checks that are no longer enough on their own. These basic methods can be easily bypassed, allowing fraudulent accounts to go undetected until losses occur. That’s why the earliest stage of an account’s life is the most critical window for fraud prevention.

In our latest post, we explore how new account fraud works and how modern technologies—like behavioral analytics, AI, and layered verification—can help detect fraud from the initial application through the first transaction.

https://t.co/FQJ8EedlM7

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These trends signal a clear message: institutions that continue to advance their detection strategies will be better positioned to protect their customers and reduce losses.

https://t.co/enawne3kV1

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@TechCrunch recently highlighted research showing that more than half of U.S. consumers have experienced increased fraud attempts.

Furthermore, @FeaturespaceLtd COO Tim Vanderham also noted just how dependent the U.S. still is on paper checks, with 11 billion deposited each year.

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#AI is becoming central to that effort. Image forensics is improving On-Us detection for stolen or altered checks, while AI-driven deposit fraud detection helps identify fake accounts, drop accounts, and money mule activity earlier in the process.

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Bringing more awareness to this attack point is essential. Strengthening the payee field closes a long-standing gap that fraudsters continue to prey upon.

Do you think payee-line protection gets enough attention in fraud strategies today?

https://t.co/HPctAkz2OM

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The #payee line has one of the most targeted areas on a check by a fraudster. However, it still doesn’t get the attention it deserves from #FraudPrevention.

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Banks are taking a closer look at the payee line and strengthening how they validate it. With tools like OrboGraph’s Anywhere Payee and image forensic analysis, they can catch subtle payee-line changes including spacing, handwriting, and added names that often go unnoticed.

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So, is the falling price a sign of better defenses or simply a reflection of a market saturated with stolen checks?

https://t.co/vmA51WJteb

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Just two years ago, stolen checks were selling on dark web and #TelegramMarkets at around $150 for personal checks and $250 for business checks.

But, as David Maimon recently highlighted, those same checks are now going for as little as $15, or even less when purchased in bulk.

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Frank Albergo of the Postal Police Officers Association notes that stolen checks are being taken in massive quantities, flooding the market and turning #checkfraud into an everyday, large-scale operation.

Others, like Featurespace’s Majid Malek, suggest improved fraud detection tools could be lowering fraudsters’ success rates, and therefore demand.

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Discover what the 90% figure really means – and how some banks are already surpassing it – in today’s blog post.

https://t.co/uHxWbhP7YT

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Is 90% of #checkfraud being caught across the banking industry too high of an estimate?

Unfortunately, the data behind it isn’t so clear.

​​​​​​​Can one statistic really represent every #bank, every branch, and every region?

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Our latest blog takes a closer look at what’s actually happening beneath that figure. #Checkfraud started to spike around 2017–2018, and since then, detection results have varied dramatically, with factors such as location and number of attempts creating the “urgency” for adoption of advanced #fraudtechnologies.

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From Positive Pay with payee match to the dual-sided role of AI, the conversation revealed just how much the fight against check fraud has evolved.
https://t.co/FiBZ24RYvU

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In the recent Milwaukee Business Journal’s Table of Experts, leaders from banking, manufacturing, and commerce shared how businesses can better protect themselves.

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Lyneen Fischer, VP of Security at North Shore Bank, noted that while check volume has dropped, the value of each check has nearly doubled — making them prime targets for fraudsters.