If you’re researching how to tackle internal fraud, it might be that an internal incident has exposed gaps in your internal controls, or regulatory scrutiny has forced you to prove stronger monitoring, oversight, and risk management.
Like many financial institutions, you may have attempted to address internal or employee fraud through internal controls, such as alerts for changes to transactions exceeding a certain amount, flagging employee activity that occurs outside of standard business hours, or approval workflows that require a second person to approve a task.
However, if you have high transaction volumes, these methods might not be sufficient to differentiate actual work from suspicious activity that indicates potential fraud. As a result, you may be facing the following challenges:
- You don’t know the type of fraud to look for in your organisation or which specific fraud risks you should be monitoring.
- Your teams are overwhelmed by false positives triggered by routine actions, like off-hours logins or high-value transfers, with no way to prioritise investigations or spot genuine fraudulent activity.
- You are concerned about the legal and ethical boundaries of monitoring staff and how to balance effective fraud detection with fairness, data protection, and defensibility to regulators.
- You have concerns about whether a new internal fraud solution will fit your existing infrastructure and scale securely without disrupting your operations.
At Vyntra, we support over 130 financial institutions across 60+ countries with intelligent solutions for payment fraud, internal fraud detection, AML compliance, and real-time transaction observability.
Based on pre-transfer and internal action signals, our systems can identify and block suspicious payments at the point of initiation, before funds leave the bank. In doing so, we can stop insider fraud such as internal collusion, privileged user abuse, CEO fraud, plus other forms of financial crime. Drawing on this experience, we help organisations move from reactive controls to proactive data-driven anti-fraud strategies.
Want to get started with an internal fraud solution that not only helps you detect but also prevents internal fraud? Book a demo with us today.
In this article
Types of internal fraud and red flags to look out for
In 2024, the Association of Certified Fraud Examiners (ACFE) found that the banking and financial services industry accounted for 19% of all occupational fraud cases, the highest of any sector. These incidents resulted in severe financial losses, averaging over $1.5 million per case and remained undetected for a median of eight months. This underscores just how difficult internal fraud can be to detect if you don’t know what to look for. Employees often exploit their access until losses compound into the substantial sums seen across the industry.
To start addressing internal fraud in your bank, it helps to understand what it looks like in practice. At a high level, internal fraud tends to fall into three main categories:
- Misuse of funds
- Accessing sensitive data
- Collusion or control breaches
We cover each in detail below:
Internal fraud type | What it is | Warning signs |
Misuse of funds | An employee moves money from internal or customer accounts in ways not authorised for their role |
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Misuse of sensitive data | An employee accesses systems, accounts, or customer information they don’t need for their role and uses it to commit fraud |
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Collusion and control breaches | An employee works alone or with others to bypass controls and approval processes |
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Misuse of funds: Employees transferring money
Misuse of funds occurs when an employee moves money from internal or customer accounts in ways that aren’t authorised for their role, for embezzlement or misappropriation of funds. Key red flags to look out for include unusual fund transfers from dormant accounts and repeated small transactions designed to avoid triggering risk rule thresholds. For example:
- A finance administrator moves funds from internal accounts through a series of small transactions to avoid detection.
- A customer service agent accesses a current or savings account that has been inactive for a long time, after which funds begin to move out unexpectedly.
- A relationship manager moves funds around to cover poor portfolio performance, hoping to return the funds later.
Misuse of sensitive data: Employees accessing sensitive information
Misuse of sensitive data occurs when an employee accesses systems, accounts, or information they would not normally need for their role and uses it to move or steal funds.
Common red flags include accessing unfamiliar accounts or systems, repeated viewing of customer data without a clear business reason, and changes to account conditions shortly before unusual transactions. For example:
- A back office operations analyst accesses high net worth customer accounts they don’t support, or logs into core banking modules normally restricted to another team.
- A customer support agent repeatedly views the same customer’s balance, statements, and personal details without any related service request or case history.
- A relationship manager increases a customer’s transfer limits or disables transaction alerts, followed shortly by large outbound payments that don’t match the customer’s usual behaviour.
Collusion and control breaches: Employees bypassing controls
Collusion and control breaches happen when an employee works alone or with someone else to bypass safety checks, making fraud easier. Red flags to look out for include coordinated behaviour between employees, four eyes principle violations, shared credentials, or misuse of elevated access shortly before unusual transactions. For example:
- A payments officer creates a payment and approves it themselves, or two employees log in from the same machine within minutes to create and approve a transaction, suggesting shared or misused credentials.
- An IT engineer is given generic “superuser” access for essential maintenance on core banking systems. However, they retain it after the project ends, giving them elevated access to systems, accounts, and controls beyond what their role normally requires.
When it makes sense to introduce a system to manage internal fraud
- You may be hesitating to introduce a system to manage internal fraud because:
It can be uncomfortable to scrutinise employee behaviour and acknowledge risks you’d prefer to believe are not there. - You’re worried about the impact of a new solution on your existing systems, particularly whether you’ll need to replace them.
- You’re concerned about whether a solution’s outcomes will be explainable and how it will access and use your sensitive data.
- The ROI of introducing a dedicated internal fraud tool is unproven.
However, there are clear signs that an internal fraud solution is no longer optional. These include:
You have internal controls in place, but they rely on static rules and generate too many false positives
While you have internal controls in place, they rely heavily on static rule-based methods. For example, alerts may fire when an employee performs a high number of actions within a short period or applies an override to resolve a customer issue.
The problem is that these rules assume risk based on a single action. As a result, they generate large volumes of false positives, with many of the alerts relating to behaviours with legitimate explanations. For example, a customer service agent might trigger an alert for viewing the same account multiple times when they’re simply troubleshooting an issue a customer reported.
Each alert still takes time to review, leaving your teams overwhelmed and unsure what to prioritise. Over time, this creates bottlenecks. It also increases the risk of missing genuine internal fraud. An effective solution should only surface critical alerts, helping you focus on real fraud cases.
You face regulatory and stakeholder pressure to prove effective internal controls
As fraud risks increase, regulators, customers, and investors want to know that you have effective systems in place to prevent internal fraud. Meeting these expectations requires moving beyond traditional rule-based controls.
The right internal fraud solution provides continuous visibility into employee activity across banking systems, allowing risks to be detected and assessed as they develop with minimal impact to current infrastructure and employee privacy. This assures stakeholders that funds are well protected.
You don’t have the expertise to build and maintain a solution
If you want to monitor who inputs a transaction and who approves it, you may believe that it simply requires setting up a script to do so. However, as soon as you need more advanced anomaly detection, building your own internal fraud solution becomes more complicated.
For example, identifying coordinated behaviour between employees takes a sophisticated system that monitors behaviour across multiple scenarios. This doesn’t just require the proper algorithms; you’ll also need specialist expertise, such as fraud investigators.
Without these skills, it’s difficult to move beyond basic, reactive controls. Instead, working with an experienced solution provider brings proven technology, a deep understanding of the threat landscape, and models already trained on known and emerging fraud patterns.
You need monitoring that’s ethical and defensible to employees and regulators
If employee monitoring isn’t set up and managed the right way, it can feel like surveillance rather than risk control. This can expose you to data privacy issues and regulatory scrutiny.
It can also undermine employee trust and negatively affect morale. And if negative regulatory findings or internal complaints become public, this can damage your reputation as well.
To be ethical and defensible, a fraud monitoring solution needs clear guardrails. For example, monitoring should focus only on role-based activity and material financial risk, not workstation or personal behaviour.
Why choose Vyntra’s internal fraud solution?
Delivered on-premises as a centralised solution, it connects with internal systems without endpoint disruption, making it ideal for both large banks with complex environments and small private banks with very specific needs.
By monitoring only what’s relevant and focusing on transactional activity, it replaces human-led accusation with system-led suspicion. In turn, this eliminates bias, internal politics, and the fear of reporting colleagues.
Meanwhile, banks stay in full control over what gets monitored, defining the guardrails to ensure the solution operates within their internal policies.
Here’s how you’ll benefit from choosing it and why leading financial institutions use Vyntra.
Catch fraud faster with proven scenarios informed by real deployments
It’s hard to combat internal fraud when you don’t know what it looks like. With Vyntra, you don’t have to. That’s because we combine real-life scenarios from across multiple global banks with anomaly detection based on customer and employee profiling to inform our internal fraud solution. This includes proven detection logic for spotting behaviours like dormant account exploitation, approval misuse, abnormal data access, and suspicious fund movements.
Instead of building a system from scratch, you can get started with a solution that works immediately. This gives your team the capacity to focus on investigating fraud rather than building and tuning controls.
You also avoid the financial risk and technical uncertainty of building in-house. Because our solution is customised and deployed for you, there is no need to manage complex integrations or make large upfront investments before seeing results.
And since it has already been calibrated and refined through real cases and anomaly detection, you get reliable protection from day one. This helps you avoid lengthy adjustment periods and crack down on fraud faster.
Decrease false positives and tackle real internal fraud with AI-driven detection, risk scoring, and intelligent case management
When rule-based alerts generate too many false positives, teams get overwhelmed, investigations slow down, and genuine fraud can continue unnoticed.
Our internal fraud solution helps address these issues. It analyses hundreds of transactional and behavioural parameters in real time through AI and rules you define. It will spot familiar and new fraud patterns, while filtering out irrelevant activity so your teams only see what matters. This reduces false positives by up to 85% and helps you identify high-risk cases that previously required specialist threat hunters.
To save you time and help focus your efforts, the system groups all anomalies linked to the same employee into a single case via our smart aggregator. Risk scoring (you set the thresholds) and institution-based logic then ensure that you only prioritise the highest risk or impact cases.
With intelligent case management, you can view timelines, transactions, approvals, departments, and behavioural context from a single dashboard.
This way, you have the evidence needed to distinguish mistakes from repeated red flags. Fast triage capabilities also let you dismiss low-risk cases quickly, reducing workload and cutting investigation time by more than 10x.
Benefit from deep experience and global exposure that continuously strengthen your internal fraud capability
With few tools built specifically to address it, staying on top of internal fraud can feel almost impossible. With more than 13 years of experience working alongside globally recognised financial institutions, internal fraud is a problem we know first-hand. Our approach is continuously shaped by real cases across IT risk, employee fraud, third-party fraud, and AML. This ensures you benefit from detection logic grounded in how internal fraud actually occurs, not assumptions.
Our approach is shaped by insights gained from working with over 130 financial institutions across 60+ countries. When new internal fraud techniques are identified in one region, such as coordinated approval bypasses or privilege escalation tactics, those learnings inform how our detection framework is refined. This helps institutions stay ahead of emerging threats, rather than reacting only after significant losses occur.
You also get ongoing support backed by deep expertise and proven best practices, so you don’t have to build internal fraud capability through costly trial and error.
How Vyntra helped two financial institutions detect and prevent internal fraud
Our internal fraud solution detects suspicious activity and identifies fraud early to prevent losses. Here are two real internal fraud cases detected and stopped before funds left the bank.
Exploit of process flaw in Europe
An individual rejoined a bank after having previously worked there. In the course of performing routine responsibilities within a new role, the individual identified a control gap that allowed transactions to be initiated from internal accounts to external accounts using standard access permissions.
The individual initially tested the process by transferring small amounts from internal accounts to a personal account. As no immediate controls were triggered, the amounts were gradually increased over time. If left undetected, this behavior could have resulted in substantial financial and reputational impact.
The internal fraud solution continuously analyzed both user behavior and transactions involving sensitive internal accounts. By combining behavioral analytics with contextual transaction monitoring, the system identified transfers from protected internal accounts to a personal account as anomalous and high risk.
Through the investigation interface, analysts were able to differentiate normal operational activity from the point at which behavior deviated from established patterns. The case was escalated promptly, and the activity was stopped before further losses occurred.
Flagged employee collusion in the Philippines
An employee at a financial institution in the Philippines exploited a core banking system misconfiguration that allowed direct debit transactions to be posted on dormant accounts.
But before any money left the bank, we detected the activity. Our AI risk models spotted the fraud because the transactions did not match the customers’ historical profiles, preventing a loss of $58,000.
The best way to prevent internal fraud is to have the right solution in place
Regulatory scrutiny is increasing, compliance expectations are higher, and boards are paying closer attention to internal fraud. At the same time, banks are dealing with growing volumes of transaction data. All of these challenges mean that dealing with internal fraud now requires a dedicated approach. You need an internal fraud solution that:
- Gives you real-time visibility across employee activity and banking systems so that you can identify risk proactively.
- Reduces false positives and helps your teams focus on the highest risk cases first.
- Produces clear, auditable evidence for investigations and regulatory review.
- Applies ethical, role-based guardrails that remain defensible to employees and regulators.
With Vyntra’s Internal Fraud solution, you gain these capabilities via a modular, scalable system. This way, you can detect and help prevent losses before they affect your operations, customers, or your reputation. You also work with an experienced partner who ensures your internal fraud prevention capability remains effective as risks evolve.
If you are reassessing your internal fraud controls and looking to move beyond reactive detection to a more tailored, proactive solution, book a demo with us today.
