Device intelligenceHow to choose a fraud prevention stack
Map the decision, evidence and operating work before buying device intelligence, payment risk, bot protection or identity verification.
Emily HartmanFrom shortlist to working control.
Six original guides for the buying, integration and operating decisions behind a fraud stack.
Device intelligence
Account abuseHow to measure promo abuse without counting every signup as a loss
Build a benefit-level worksheet for referral, trial and promotion abuse, including legitimate customers and investigation costs.
Emily Hartman
Payment fraudA payment fraud pilot that compares the same decisions
Define a payment timeline, outcome labels and a comparable evaluation window before judging a fraud vendor’s results.
Emily Hartman
Chargebacks and disputesWhat to ask before buying a chargeback guarantee
Check covered orders, dispute types, exclusions, filing duties and reimbursement timing before comparing a guarantee with risk software.
Emily Hartman
Bots and automated abuseBot management or fraud detection: which layer is missing?
Separate automated-request defenses from account, identity and payment decisions when planning a fraud stack.
Emily Hartman
Identity verificationWhy identity checks and account-risk monitoring work together
Connect onboarding verification to later session and account events without treating a completed identity check as permanent trust.
Emily Hartman