How might Incode improve its liveness detection capabilities to better prevent spoofing attempts in remote authentication scenarios?

Introduction

To improve Incode's liveness detection capabilities for better prevention of spoofing attempts in remote authentication scenarios, we need to analyze the current system, identify vulnerabilities, and implement advanced technologies. I'll outline a strategic approach to enhance security while maintaining a seamless user experience.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking Incode might be facing increased sophisticated spoofing attempts. Could you share more about the types and frequency of spoofing attacks you're currently seeing?

Why it matters: Determines the focus areas for improvement and the urgency of the solution. Expected answer: An increase in deep fake videos and 3D mask attacks. Impact on approach: Would prioritize advanced AI and depth sensing technologies.

• Considering user behavior, I'm curious about the primary use cases for Incode's remote authentication. Are we dealing mostly with financial transactions, government services, or other specific sectors?

Why it matters: Influences the balance between security and user convenience. Expected answer: Primarily financial services and government ID verification. Impact on approach: Would focus on solutions compliant with financial and government regulations.

• Regarding product lifecycle, where is Incode currently positioned in terms of market adoption and feature maturity?

Why it matters: Helps determine if we should focus on refining existing features or introducing new technologies. Expected answer: Established player with a solid feature set, looking to stay ahead of emerging threats. Impact on approach: Would emphasize cutting-edge technologies and predictive security measures.

• In terms of company alignment, what are the key performance indicators (KPIs) driving this improvement initiative?

Why it matters: Ensures our solution aligns with broader business objectives. Expected answer: Reduction in false acceptance rate (FAR) while maintaining or improving user completion rates. Impact on approach: Would prioritize solutions that balance security enhancements with user experience.