Medius Fraud & Risk Detection applies AI trained on real accounts payable outcomes to every invoice, flagging duplicates, supplier changes, vendor impersonation, and payment redirection before money leaves the business. It runs natively on Medius AP and Medius Payments, with no IT project required.
Medius’s Financial Census found that the average financial loss per organization due to invoice fraud is $168,204. Medius Fraud & Risk Detection is here to help you catch fraud earlier and reduce your risk exposure. Its models are reinforced by 6 million invoices processed per month across 3,000+ customers, and trained on 10+ years of real AP outcomes, including approvals, rejections, and confirmed fraud flags.
Medius’ inline alerts give AP managers the information they need to act immediately.
Gain visibility into your fraud and risk exposure with new insights.
Relax and let machine learning and AI controls ensure your policies are being enforced.
Get going faster with a solution that integrates natively with Medius AP & Medius Pay. No IT project required.
Keep eyes where they’re needed: on every invoice.
Medius's AI-powered matching helps you make sure all invoice details align with a single source of truth, while options for segregation of duties and a four-eyes principle help keep everyone on task verifying information before any payment is made. With 6 million invoices processed per month across 3,000+ customers, Medius's fraud models are continuously reinforced by real-world outcomes at scale.
Put a spotlight on potential problems, before they’re an issue.
AI-detected, easy-to-spot risk factor icons help you find and mediate any potentially risky invoices in your inbox, with a concise summary of why they’ve been flagged and recommended actions to take. Handled risks are also visible for tracking through to the end of the invoice’s lifecycle.
Keep approvers on task with extra security measures.
Enabling an extra layer of scrutiny on invoice approvals – like step-up authentication, which requires a two-factor authentication for payments – can make sure that no payment is remitted until the invoice and supplier have been fully vetted and checked for fraud and risk.
Assess and measure your fraud prevention efforts.
In Fire Station, a single central hub for tracking fraud and risk, you can see all outstanding and handled risk factors across your transactions, helping you identify trends or anomalies and measure the success of your fraud prevention efforts.
ERP integrations with no IT project required.
Medius is a complete solution with managed connectors for all major ERP platforms. Start detecting accounts payable fraud today.
Invoice fraud detection software compares every invoice against the data the business already holds: previous invoices from that supplier, the purchase order, the goods receipt, and the supplier master record. Fraud rarely looks wrong on the invoice itself. It looks wrong in relation to something else, which is why detection depends on comparison rather than inspection. Manual review does not scale to that comparison, because the number of relationships to check grows faster than the invoice volume does.
Medius applies AI to that comparison across the full invoice-to-pay lifecycle, scores what it finds, and surfaces the reason an invoice was flagged alongside a recommended action. Reviewers get a judgment to make rather than a queue to clear.
Invoice fraud and anomalies are significant threats to businesses, leading to financial losses and reputational damage. Our invoice fraud and risk detection software helps identify and mitigate these issues effectively. Here are some common types of invoice anomalies and fraud that the software can detect:
Identifies when the same invoice is submitted more than once to prevent overpayment. Exact resubmissions are the easy case. The harder ones differ by a character, a date, or a supplier record, which is why detection compares several fields at once rather than matching on the invoice number alone. The capabilities that separate the two are worth understanding before evaluating any platform.
Detects false invoices or inflated costs submitted by suppliers. This includes invoices for goods never delivered, quantities that exceed what was received, and charges applied outside the agreed contract terms.
Checks invoice amounts against purchase orders and contracts to ensure accuracy. Manipulation is usually small and plausible rather than obvious: a unit price adjusted upward, a quantity altered after approval, or line items added to an otherwise legitimate invoice. Checking the total alone will not catch any of them, which is why the comparison runs at line level against the purchase order and the receipt.
Flags invoices from unapproved or unknown suppliers for further review. This also catches the case where a supplier exists under a second, near-identical record, which is a frequent route to duplicate payment.
Spots unusual date patterns that may indicate fraud. Dates shifted to fall inside a different period, backdated invoices submitted against closed purchase orders, and submissions clustered around payment runs are all flagged as patterns rather than as individual exceptions.
Detects attempts to redirect payment to an account the supplier does not control, including invoices from lookalike domains and changes to supplier information that arrive close to a scheduled payment run. Medius AP Automation flags basic changes such as a change of payment address, and Fraud & Risk Detection extends that to the behavioral patterns around it.
Learn more about the different types of invoice fraud and anomalies by visiting our Invoice Fraud Guide to Prevention and Detection.
Protect your business from fraudulent activities with AI detection algorithms that monitor and analyze invoice data in real time.
Reduce errors in invoice processing by automating data capture and validation, ensuring only legitimate invoices are approved for payment.
Minimize financial losses due to fraud and errors, and save time by reducing manual checks and reviews in your accounts payable processes.
Stay compliant with industry regulations and standards, with detailed audit trails and reporting features. Medius is ISO 27001 certified, SOC 1 & SOC 2 Type II compliant, and GDPR compliant.
Easily handle increasing volumes of transactions without compromising on fraud detection accuracy or processing efficiency.
Medius Invoice Fraud and Risk Detection Software is a crucial tool for accounts payable teams, offering comprehensive fraud prevention capabilities to safeguard your organization’s finances. If you are comparing options, our evaluation guide to AP automation platforms for fraud prevention sets out what to look for.
On-demand Webinar
See how it works in practice: This 30-minute on-demand session walks through how AI flags anomalies, catches duplicate invoices, and monitors for fraudulent activity before it hits your bottom line. You'll also see how smarter supplier communication has become one of the quietest but most effective lines of defense against fraud. Whether you're scaling operations or just tired of chasing down invoice discrepancies, this session shows exactly how Medius makes it possible.
Fraud protection software is a technology solution designed to identify, prevent, and mitigate fraudulent activities within an organization. It leverages advanced algorithms, artificial intelligence (AI), and machine learning to monitor transactions, analyze patterns, and detect anomalies that may indicate fraudulent behavior. This software is crucial for businesses to safeguard their financial transactions, maintain data integrity, and ensure compliance with regulatory standards. By automating the detection and prevention processes, fraud protection software helps reduce the risk of financial losses, enhance security, and improve overall operational efficiency.
Implementing invoice fraud and risk detection software offers numerous advantages that significantly enhance the security and efficiency of your accounts payable processes. By leveraging advanced AI and machine learning technologies, this software provides robust fraud prevention and ensures your financial transactions are accurate and secure.
AI improves fraud detection by using advanced algorithms and machine learning to analyze large volumes of data in real-time. It can identify patterns and anomalies that may indicate fraudulent activity more accurately than traditional methods. AI continuously learns from new data, improving its detection capabilities over time. Medius's fraud detection AI has been trained on 10+ years of real AP outcomes, including approvals, rejections, and confirmed fraud flags, making it significantly more accurate than models trained on generic or synthetic data. This allows for faster identification of potential fraud, reducing the risk of financial losses and enabling quicker response times.
Fraud detection is crucial in accounts payable because it helps prevent financial losses, maintains the integrity of financial records, and safeguards the organization’s assets. Accounts payable fraud can lead to significant monetary losses and damage the company's reputation. Effective fraud detection ensures that only legitimate invoices are processed and paid, reducing the risk of duplicate payments, unauthorized transactions, and financial discrepancies. By implementing robust fraud detection measures, businesses can enhance their financial security, ensure regulatory compliance, and maintain trust with suppliers and stakeholders.
Red flags for invoice fraud include mismatched purchase order numbers, unexpected changes in supplier information, duplicate invoice numbers, and unusual payment terms. Other signs are invoices from unfamiliar suppliers, vague descriptions of goods or services, and discrepancies in amounts. Lack of proper authorization or approvals outside standard procedures can also indicate fraud.
Medius detects invoice fraud by leveraging advanced AI and machine learning technologies to analyze invoice data for anomalies and suspicious patterns. The software performs risk detection by continuously monitoring for red flags such as duplicate invoices, mismatched payment details, and unusual changes in supplier information. Real-time alerts and automated risk scoring help accounts payable teams promptly identify and address potential fraud, ensuring the accuracy and security of financial transactions.
Medius Fraud Detection Software can identify various anomalies including duplicate invoices, discrepancies in payment amounts, changes in supplier information, mismatched invoice details, vendor impersonation, and payment redirection attempts. The software also flags unusual transaction patterns and detects deviations from established spending behaviors, ensuring comprehensive protection against fraudulent activities and errors in the accounts payable process.
Medius ensures data security in fraud detection by employing advanced encryption methods and secure data transfer protocols to protect sensitive information. The platform also uses multi-factor authentication and access controls to prevent unauthorized access. Regular security audits and compliance with industry standards further enhance the protection of data, ensuring that all transactions and sensitive information remain secure throughout the fraud detection process.
Medius Fraud and Risk Detection requires Medius Accounts Payable Automation. Medius links invoice capture, processing, and payment to reimagine the AP process. Fraud and Risk Detection uses the data captured through the AP process and applies Medius’ advanced AI and machine learning to provide new insights and detect anomalies.
Medius allows you to gradually implement best practices as appropriate for your organization. For example, you may turn on the “Four eyes” double approver requirement or disable it depending on your organization’s needs.
The main difference is that Fraud and Risk Detection provides you with an end-to-end process starting at detection and following through to insights into the fraud amount, types, and actions taken so you can better understand how your organization’s fraud prevention process is performing. Medius AP Automation does flag some basic anomalies, such as suspected duplicate invoices and changes in payment address.
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Financial Census
Real-world success
