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12/07/2026 12:24 pm
TL;DR: Fraud prevention is being reframed as a growth lever because false declines, onboarding friction, and manual review overhead can damage conversion, retention, and customer lifetime value, according to Sift and Veriff. That shift matters because trust controls now influence revenue operations as directly as they influence loss reduction.
NHIMG editorial — based on content published by Sift: Fraud How CFOs Can Reframe Fraud as a Growth Engine
By the numbers:
- According to Veriff, nearly 90% of businesses lose up to 9% of revenue to fraud.
- Sift says it supports 700+ global brands.
Questions worth separating out
Q: How should security teams reduce false declines without weakening fraud controls?
A: Start by separating hard fraud stops from soft operational failures, then improve the context used in payment decisions.
Q: Why do fraud controls affect revenue as much as they affect loss prevention?
A: Fraud controls decide who gets through the door, how quickly they transact, and whether they return after a bad experience.
Q: What do security and finance teams get wrong about fraud ROI?
A: They often focus only on prevented fraud dollars and miss the operational cost of manual review, customer support, remediation, and churn.
Practitioner guidance
- Rebase fraud KPIs on business outcomes Measure fraud policy using approval rates, abandonment, chargebacks, and customer lifetime value alongside loss prevention so teams can see whether controls are helping or hurting growth.
- Map fraud decisions to identity journey points Identify where onboarding, recovery, step-up verification, and payment checks are creating the highest friction, then align those controls with IAM and identity verification owners.
- Build an override path for high-value legitimate users Create a documented manual review and appeal process for customers who are repeatedly false-declined, especially in premium or high-retention segments.
What's in the full article
Sift's full blog covers the operational detail this post intentionally leaves for the source:
- Revenue and margin framing for finance leaders who need to justify fraud investment in business terms
- Specific examples of how false declines affect conversion, retention, and customer lifetime value
- A CFO-oriented ROI structure for comparing manual review cost, chargebacks, and customer churn
- Cross-functional talking points for aligning fraud, product, and customer experience teams
👉 Read Sift's analysis of fraud prevention as a growth engine for CFOs →
Fraud prevention and revenue growth: what should finance teams change?
Explore further
12/07/2026 12:36 pm
Fraud prevention is becoming a trust governance problem, not just a loss-mitigation problem. Once fraud controls begin shaping approval rates, onboarding completion, and customer retention, they sit inside the identity decision flow. That makes them relevant to IAM, identity verification, and customer trust frameworks, not just finance. Practitioners should manage fraud policy as a governance layer that affects who is allowed into the business.
A question worth separating out:
Q: Who should own fraud policy when it influences onboarding and customer trust?
A: Ownership should be shared across finance, fraud operations, identity, and customer experience, with clear executive accountability. Fraud policy affects both access decisions and commercial outcomes, so it cannot live in a single silo. The practical answer is one trust governance model with explicit decision rights and escalation paths.
👉 Read our full editorial: Fraud prevention as growth enablement for CFOs and trust teams
