The Problem:
Why Businesses Struggle with Fraud

Businesses that onboard a large volume of users face a fundamental challenge:

How to stop fraud without adding friction that drives away legitimate customers. Legacy fraud prevention tools force a trade-off – either tighten security and increase false positives or ease restrictions and open the door to sophisticated fraud attacks. Neither option is sustainable.

The core issue? Traditional fraud prevention is too rigid, too slow, and too reliant on third-party systems. These outdated solutions struggle to keep up with fast-evolving fraud tactics, leaving businesses exposed and forcing them to choose between security and seamless onboarding.

The Data Behind the Problem

70%

of businesses claim fraud losses have increased due to outdated identity verification systems.

(Source: Experian 2023 Identity & Fraud Report)

30x

increase in deepfake fraud from 2022 to 2023, making traditional solutions
obsolete. 

(Source: Deepfake Report, Feb 2024)

61%

of Americans can’t distinguish between real and manipulated videos, increasing the risk of identity fraud.

(Source: Deepfake Report, 2024)

Legacy

fraud tools take months to adapt to new fraud techniques, while fraudsters evolve in days.

(Source: Experian 2023 Identity & Fraud Report)

The Impact on Your Business

Higher Fraud Losses

Static fraud detection means missed threats, leading to millions in financial losses annually.

Customer Drop-Offs

Excessive friction drives away real customers, cutting conversion rates by up to 40%.

Compliance Risks

Slow fraud adaptation leaves businesses exposed to regulatory fines and penalties.

Operational Inefficiency

Reliance on manual reviews increases costs and slows decision-making, driving up fraud investigation expenses.

The Incode Advantage