First-Party Fraud Detection: The Fraud KYC Can't See

Excluded from normalized aggregate trends after staff review: 3056 posts were attributed to March 2026; 671 shared March 14, 2026. The preceding six-month median was 13.5 posts.

Review evidence: 3,056 posts in March 2026; 671 shared March 14, 2026; preceding six-month median 13.5. Reviewed August 9, 2026.

This company's pages remain public, but its content is excluded from normalized aggregate trends. Unfiltered raw trends and advanced filtering are available to Accelerate and Lead accounts.

First-party fraud involves individuals using their genuine identities to commit fraud, effectively bypassing traditional identity verification methods like Know Your Customer (KYC) checks, which focus on verifying identity rather than intent. This type of fraud includes behaviors such as bust-out credit, friendly fraud, never-pay accounts, and application misrepresentation, which are often only detectable through behavioral monitoring post-onboarding. Didit's Transaction Monitoring system addresses this gap by analyzing transaction behaviors in real-time, applying velocity rules, and anomaly detection to flag suspicious activities before financial losses occur. The system uses a real-time decision-making engine that assigns transactions one of four statuses—APPROVED, IN_REVIEW, DECLINED, or AWAITING_USER—where the latter allows for auto-remediation by pausing transactions and requesting user verification, minimizing false positives and unnecessary account closures. The service charges $0.02 per transaction with no minimums and includes 11 pre-configured rule bundles for various fraud and compliance scenarios, while also allowing for custom rule creation to address specific fraud patterns.

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