Recent surveys show that 91% of U.S. businesses used paper checks for payments in 2024, up sharply from 75% the year prior.
At the same time, check fraud has skyrocketed.
According to the 2025 AFP Payments Fraud and Control Survey, 63% of organizations reported experiencing check fraud in 2024, making it the most common payment method subjected to fraud.
These circumstances demand that banks treat check verification as a critical frontline defense with stronger, faster, and smarter verification methods.
In this article, we'll explore how banks verify checks, walk through verification steps, and highlight advanced technologies to combat fraud.
Check verification is the process of confirming that a check is legitimate, will clear as expected, and is not fraudulent.
In practice, this means verifying a few key things:
Verification is proactive: Banks verify checks before fully accepting or clearing them to catch fakes or issues early and avoid losses.
If done correctly, check verification can stop a bad check from ever hitting a customer's account or prevent the bank from releasing funds on it.
It's helpful to clarify a common misconception: verification is not the same as check clearing. These two terms often get confused:
In essence, verification checks the check, while clearing moves the money.
How do banks verify a check in 2025? Here's a breakdown of the typical 5-step verification workflow that many banks use to vet checks before acceptance:
The first line of defense is a visual and tactile inspection of the check itself. A trained teller or fraud analyst will examine the physical document for signs of counterfeiting or tampering.
Here are some key things to check:
Next, the bank will validate the check's origin. This step involves a few sub-steps:
Beyond the paper itself, banks look at the context: who is giving you this check, and does it make sense?
At this stage, a fraud analyst or teller asks, essentially, "Does everything about this transaction line up with what we'd expect?"
Critical concerns include:
In short, the motto here is "Know your customer, and the check's story."
If anything feels off, the bank should pause and investigate further. Frontline staff are encouraged to trust their instincts: if a depositor seems unsure about why they received a check, or mentions someone instructed them to deposit it and send money back, it's likely a scam.
Advanced check verification platforms now play a major role in fraud screening.
Here's how cutting-edge tools improve the process:
The system will automatically screen the check against the account's profile and history. For example, it checks whether the paying account (from MICR line) has a history of fraud or frequent bounced checks (some banks tap into consortium databases that track bad-check activity across institutions).
Advanced machine learning models establish a baseline of what regular account activity looks like, and can flag a deposit that is highly unusual for that customer or account type. "Is this check consistent with how this account normally operates?" - answering that question via data is crucial to spot mule accounts or sudden patterns that humans might miss
AI-driven image forensics uses computer vision to analyze check images at the time of deposit.
AI algorithms can spot subtle signs of forgery, like mismatched fonts, spacing issues, or altered parts of the check. They can also compare the check's signature with known reference signatures. Suppose a fraudster edits the check (e.g., using Photoshop). In that case, these tools often catch inconsistencies, like misaligned digits or altered text boxes, making it easier to detect altered checks that might pass a quick visual inspection.
Each check is given a risk score by the system based on a multitude of factors. Factors may include: the check's amount relative to typical amounts, whether it's the first time this payor and payee are interacting, the deposit channel (mobile vs. teller - mobile might carry more risk), how many other checks have been deposited recently (velocity), and even geolocation data (is the check from a distant region not typical for this customer?).
Example: A $100 payroll check from a local employer that a customer deposits every 2 weeks will score as low risk. But a $9,000 check from an out-of-state account that a new customer deposits via ATM at 11:00 PM might score as high risk due to multiple red flags (new account, odd hour, large amount, unknown payor).
VALID Systems, for instance, uses real-time scoring via InstantFUNDS© engine to automatically decide which deposits need delayed availability or escalation, without waiting for a human decision.
A significant innovation is the use of consortium databases and shared intelligence.
Modern systems can immediately flag a check being deposited at Bank A if Bank B reported it as fraudulent yesterday.
In fact, a new wave of solutions leverages industry-wide data to improve detection rates.
If a particularly suspicious check does get deposited, banks deploy real-time alerting so that fraud teams can intervene before funds are withdrawn.
For example, VALID Systems' CheckDetect platform sends instant alerts to the risk team when a deposit matches high-risk patterns.
Rather than finding out days later when a check bounces, the bank's fraud analysts can investigate the same day the deposit happens, potentially freezing funds or rejecting the item if it's confirmed fraudulent. Timing is everything, the sooner you know, the less harm is done.
After gathering all the information, the bank decides on the check with three possible outcomes:
We answered the question, "How do banks verify checks?" and concluded that Check verification remains a necessary, dynamic practice in 2025, requiring both vigilance and innovation.
VALID Systems stands out for its advanced approach to check verification, offering innovative solutions that elevate bank defenses.
Here's why VALID is a top choice for modern check verification:
Real-time AI decision-making
VALID's platform uses real-time, AI-powered decision-making to assess and check risks quickly. InstantFUNDS© system approves low-risk checks instantly, and the CheckDetect module flags high-risk deposits. This speed enables banks to prevent fraud before it happens, ensuring continuous monitoring at all times.
Behavioral analytics and pattern recognition
Unlike traditional systems that rely on static rules, VALID analyzes account behavior over time. CheckDetect tracks activity after deposits, detecting anomalies like sudden check volume spikes or unusual deposit patterns, which could indicate fraud. This behavioral insight, combined with machine learning, creates a complete picture of risk.
Guaranteed fraud coverage
One of the standout features of VALID Systems is its guarantee. If our system approves a check and it later turns out to be fraudulent, VALID covers the loss. This risk-sharing approach aligns VALID's success with that of the bank, ensuring peace of mind and fostering a true partnership.
Leveraging consortium data and AI
By using a consortium model, VALID benefits from the collective knowledge of multiple banks. When one bank encounters a new fraud scheme, all users are informed in near real-time, making the system smarter as it adapts. This "network effect" strengthens the overall defense, turning what was once a private battle into a collective one.
Wondering how leading banks verify checks in 2025?
Let VALID Systems demonstrate how our AI-powered tools can simplify and strengthen your verification process.