For e-commerce merchants, risk management has long been viewed as a cost associated with doing business.
With these businesses losing an average of 3.2% of their global revenue to payments fraud annually, according to the Merchant Risk Council’s 2026 Global eCommerce Payments and Fraud Report, security is a strategic business decision and not just a passive box-ticking exercise. Risk management must shift from the cost column to an active driver of profitability and conversion.
In a low-margin fintech environment, reducing revenue loss directly boosts the bottom line, providing a competitive edge, strengthening brand reputation and expanding customer relationships.
Fintech firms can enhance profitability by embedding robust risk controls within their payment systems. The new eBook from Equifax: Integrated Payments Protection: Optimize Profits through Proactive Risk Mitigation, finds that for many organizations, “false declines can drive 75x more revenue loss than fraudulent activities”. To protect profitability, businesses must move away from merely managing disputes after they have occurred toward preventing fraud before the transaction is finalized. Making a proactive shift enables end-to-end journey security that protects every touchpoint rather than depending solely on the checkout stage.
With AI-powered optimization, advanced analytics can reduce false positives to ensure legitimate customers aren’t blocked by overzealous risk tools. However, fraudsters have also become more sophisticated, deploying automation and artificial intelligence (AI) to find vulnerabilities in fragmented systems. Many merchants still rely on siloed data, which prevents them from seeing the complete picture of a transaction’s risk profile.
Losses occur through a combination of Card-Not-Present (CNP) fraud, Account Takeover (ATO), and Friendly Fraud (first-party misuse where customers dispute legitimate charges). Beyond stolen funds, annual revenue loss includes chargeback fees, lost inventory and operational overhead.
Rather than relying on rigid rules that trigger high rates of manual reviews, the integration of identity verification with payment data and AI helps prevent fraud, while enabling good revenue.
By using real-time monitoring and machine learning, businesses can automate "easy yes" and "easy no" responses, allowing teams to focus on high-value exceptions. Deploying automated decisioning moves the focus from stopping bad actors to enabling good revenue, allowing organizations to address transaction, operational, customer friction and compliance risks simultaneously.
By tackling these risks proactively, fintech companies can prevent losses from CNP fraud while ensuring controls do not compromise anti-money laundering (AML) and know your customer (KYC) requirements.
Automation further reduces operational risk by streamlining manual investigations and dispute management and mitigates the loss of lifetime value (LTV) occurring when legitimate customers abandon a cart due to intrusive security checks. Managing risks proactively ensures fraud mitigation efforts support profitability.
The unified model Equifax presents is the foundation of their Integrated Payments Protection solution, which helps reduce risk while increasing profitability. Ajay Guru, SVP and GM, Identity and Fraud Services, explained why the Equifax integrated approach is effective.
“Our Integrated Payments Protection solution eliminates the gaps that can occur across the customer journey,” Guru said. “By taking a unified approach, we catch complex fraud patterns that single-point solutions completely miss – such as instantly flagging when a new IP address is paired with a known stolen identity profile.” Guru also noted that by increasing confidence in identity, merchants can safely increase approval rates.
“When you can potentially say 'yes' to 5% more legitimate transactions while lowering chargeback costs, the impact on the bottom line can be significant.”
With feedback architecture in place, a growth loop is created, which secures the payments journey. A cycle is established when dispute outcomes and transaction success are fed back into onboarding and risk modelling. It leads to better data and risk decisions, which reduce friction for good customers, making them more loyal and increasing their lifetime value.
“An integrated approach across the entire payments lifecycle creates a self-optimizing system that secures the journey without slowing down business growth,” said Guru. “With fraud evolving at the speed of AI, fintech companies can stay ahead of the curve and provide verified data within milliseconds for real-time, accurate decisions.”
Deploying an integrated payments protection solution increases the viability of profitability by allowing organizations to pivot resources toward high-value growth tasks and prevent revenue losses when customers are falsely declined.
Guru concluded that an end-to-end approach offers an effective way to recover revenue typically written off as the cost of doing business. By securing the entire journey to build identity trust, fintech companies can unlock higher levels of operational efficiency and long-term profitability.