
Incode CEO Ricardo Amper published a guide for enterprise decision-makers on how to balance fraud prevention requirements with the commercial imperative of seamless digital onboarding. The piece was syndicated across IT Security Wire and other industry publications.
The guide addresses a core tension in digital identity programs: the controls that effectively prevent fraud often create friction that degrades onboarding conversion rates, while friction-free onboarding experiences create gaps that sophisticated fraud attacks can exploit.
Amper’s argument is that this tension is resolvable, but only if organizations move away from binary thinking about verification, where more verification always means more friction, and toward architectures that apply layered, adaptive verification proportional to risk.

Key arguments from the guide:
The false tradeoff between security and experience
Most fraud-related drop-off in onboarding is not caused by verification itself, but by poorly designed verification flows that introduce unnecessary steps, ambiguous instructions, or excessive latency. Well-designed identity verification, built on accurate models with high pass rates for legitimate users, does not require sacrificing experience for security.
Risk-based layering
Amper argues for applying verification intensity proportional to risk signals rather than uniformly across all users. High-risk signals, including mismatched device fingerprints, irregular behavioral patterns, and high-velocity account creation from a single origin, should trigger enhanced verification. Low-risk signals should allow streamlined flows.

False rejection as a measurable cost
The guide frames false rejections, where legitimate users are declined or abandoned, as a measurable cost that should be tracked alongside fraud losses. Organizations that optimize only for fraud prevention without measuring the cost of incorrectly declining legitimate users are making incomplete tradeoffs.
Trust as a differentiator

Beyond fraud prevention and conversion rates, Amper argues that trust is increasingly a competitive differentiator. Organizations that can demonstrate to customers that they take identity seriously, and that they’ve built systems that protect against the growing range of AI-enabled fraud techniques, will build stronger customer relationships than those that treat identity as a compliance checkbox.
The guide was published as part of Incode’s broader thought leadership effort, following the company’s recognition in the 2025 Gartner Magic Quadrant for Identity Verification.