Fraud Prevention
Catch fraud in real time without adding friction for legitimate customers.
Where this risk comes from
Fraud increasingly moves at the speed of automation — account takeover, synthetic identities, and payment fraud all scale far faster than manual review processes can keep up with.
Mellivor Fraud Prevention applies behavioral analysis and identity signal to catch fraudulent activity without adding friction for legitimate customers.
What enterprises are up against
- Account takeover using credentials stolen from unrelated breaches
- Synthetic identities designed to pass standard verification checks
- Payment fraud patterns that evolve faster than static rule sets
- Fraud controls that create friction for legitimate customers
What's actually at stake
Fraud losses hit the balance sheet directly and immediately, unlike many security risks that are harder to quantify — which tends to get it executive attention fast, usually after the fact.
The same controls that stop fraud often improve the legitimate customer experience too, by reducing false declines and unnecessary friction.
The Mellivor approach
- Behavioral analytics tuned to distinguish fraud from legitimate anomalies
- Identity verification calibrated to risk level, not applied uniformly
- Real-time transaction monitoring with adaptive rule sets
- Continuous model tuning based on confirmed fraud outcomes
Technology categories that support this solution
Attack Surface Management (ASM)
External attack surface discovery, monitoring, and exposure assessment technologies.
Go deeper
Mellivor's platform is backed by teams who design, deploy, and run it alongside you.
See Fraud Prevention in action
Request a demo scoped to this solution and your environment.