Digital Risk Assessment

Let’s begin assessing your foundation....

How Mature Is Your Fraud Program, Really?

Answer 7 quick questions to benchmark your fraud operations and see whether you’re building, scaling, or optimizing, with clear next steps.

What industry does your business belong to?

Fintech
Online Gambling or Gaming
Marketplaces
E-Commerce Retail
Food & Delivery
Digital Goods & Services
Travel/Transportation
Other
If Other, please specify:

Which of the following best describes your company’s approximate monthly transaction volume?

• <10K
• 10K–100K
• 100K–1M
• 1M–10M
• 10M+

Which of the following best describes your current role at this company?

• Fraud, Security, or IT Analyst/Manager
• Director or Team Lead for Security, Fraud, Trust & Safety, or IT Operations
• Head of Finance, Business Operations, Marketing & Sales Operations, or Product
• Other member of Business, Marketing, Security, IT, or Sales Operations
  If Other, please specify:

What fraud challenges does your team face day-to-day? Check all that apply.

• Payment fraud (e.g., stolen cards, chargebacks, first-party fraud)
• Promo or incentive abuse (e.g., coupon, referral, or loyalty fraud)
• Manual review volume slowing down approvals
• Balancing fraud prevention with conversion or growth
• Lack of visibility into fraud patterns across regions or products
• Limited internal resources or tools for fraud detection
• Difficulty integrating fraud signals into other systems (e.g., CIAM, payments, risk)
• Unsure; we suspect fraud but can’t quantify it

How are you currently addressing fraud and risk at your company?

• Manually, using analyst-run case reviews, refunds, and rule-based checks.
• In-house, with tools and models built and maintained by an internal team.
• With point solutions to cover different parts of the user journey.
• Using an integrated fraud platform powered by AI or machine learning.
• No dedicated solution in place—we are actively exploring new platforms.

Which of the following align with your company’s goals around fraud prevention and decisioning? Check all that apply.

• Reduce fraud losses and minimize chargebacks or abuse.
• Automate more decisions to cut down on manual review and operational costs.
• Improve approval rates and reduce friction for trusted customers.
• Unify fraud prevention across payments, account protection, and user identity.
• Modernize our fraud tech stack with AI-driven or real-time decisioning.
• Other
  If Other, please specify:

What would the ideal state of fraud operations look like within your organization?

Primarily manual with decisions made by analysts or support teams using rules or judgment calls.

Manual and automated leveraging some rules or machine learning but still relying on analyst input for most edge cases.

Mostly automated with AI models that adapt to outcomes, enabling analysts to focus on oversight and strategy.