A recent industry report put a number on something we've been hearing from prospects all year: Thirty-five percent of companies have delayed an embedded finance initiative because of fraud concerns. At the same time, fraud attempts targeting embedded products are reportedly growing two to three times faster than in traditional banking channels.
Read those numbers together and the conclusion looks obvious. Embedded finance is risky, so wait. We'd argue the opposite. The companies delaying are reacting to a model of fraud prevention that was never built for modern day embedded payments.
Legacy fraud systems are the wrong tool for the job
Traditional fraud infrastructure assumes a slower, centralized world with fixed rules, known risk markers, and batch and manual reviews. Embedded finance compresses that timeline significantly. By the time a legacy system flags an anomaly, the money has moved, the customer has abandoned, or the false positive has blocked a legitimate transaction.
When companies evaluate embedded finance through that lens, the hesitation is a natural outcome. They're imagining implementing yesterday's controls onto tomorrow's transaction speeds.
The shift: Fraud controls live inside the workflows
Embedded finance actually expands the places to stop fraud, provided the controls are built into the workflow itself.
At Alviere, that looks like:
Identity verification at onboarding
Biometric document verification with facial matching, plus PII consistency checks designed to catch synthetic identities before an account ever moves money.
Configurable spend limits and merchant controls
Card programs have adaptable rules to guard spending at specific merchant types. Merchant category codes (MCC) can be included or excluded, as well as velocity and geolocation are adjusted to adhere to our client’s program rules and risk tolerance.
Real-time monitoring tied to behavioral and device signals
During onboarding and throughout the account lifecycle, the Alviere HIVE platform evaluates device fingerprints, IP addresses, phone, email and behavioral patterns through machine learning models.
Authorization rules that respond to context rather than static thresholds
Fraud rules are evaluated synchronously, generally before the transaction completes. Applying a more nuanced authorization in real-time ensures fraud patterns are detected when subtle, and prevented before compromise occurs.
Security as design, not an afterthought
This model is at the core of the fraud and risk function at Alviere. The HIVE platform treats fraud prevention as part of the payment itself. Issuing, account opening, money movement, and KYC all run through a single control plane. This means our clients get consistent enforcement across integrations, versus a stitched together approach often held together by internal tickets.
What this means for companies sitting on the sidelines
The 35 percent waiting on the sidelines aren't wrong to be cautious. They're just solving the wrong problem.
If fraud concerns have stalled an embedded finance roadmap, the better question is how your provider handles fraud. Alviere treats compliance and fraud as core infrastructure, rather than a separate team you call when something breaks. Rather than watching your competitors embrace embedded financial products, find the partner that has fraud controls designed into the solution, not bolted on as an afterthought.
