Give our agent a website. It finds the product mechanics an attacker could exploit, then quantifies and ranks the opportunities.
Fraud rarely starts with a software vulnerability. It starts with a legitimate feature whose economics change when one person automates it, repeats it, or shares it.
Disposable identities, repeat signups, trial farming, ban evasion, and one person operating many accounts.
Seat sharing, credential attacks, plan-limit evasion, gated-content scraping, and automated consumption.
Self-referrals, incentive rings, card testing, refund abuse, chargebacks, and payment-linked account attacks.
Public profiles, listings, user information, and messaging that enable scams, impersonation, phishing, and social engineering.
Each opportunity receives a likelihood score and a business-impact score based on exploit ease, attacker incentive, likely harm, and natural friction. Those factors combine into the opportunity score.
The overall exposure score starts with the strongest opportunity and increases for additional independent abuse paths. It tells you where an investigation is most likely to pay off. For a deep dive into your specific situation, book a demo.
A website can reveal the fraud/abuse opportunity. Integrating Rupt can give you a definitive assessment. Rupt evaluations track account action, the devices behind it, the network, the identity, and the pattern across users.
That is how you turn hypothesis into data-driven insights, policies, and a recoverable growth opportunity.
Book a demo and we'll connect the opportunities to your own evaluations, quantify the affected population, and show where a policy can recover revenue or reduce fraud.