Rupt vs. SEON
SEON scores transactions and asks whether the person behind them is real. Rupt watches what happens to the account itself.
The short version
Updated August 2026
- SEON is built around payment fraud: digital footprinting that enriches emails, phones, and IPs, ML scoring trained on historical transactions, and AML screening.
- Decisions come back as a fixed approve, review, or decline, and the ML improves by sending labeled outcomes back through a separate Label API. Challenges, account sharing detection, and enforcement not included.
- Rupt is a full fraud engine. It includes fingerprinting, email and phone intelligence, a rules engine, hosted challenges, and an AI agent that investigates accounts and monitors for new patterns.
- SEON's Starter is $699 a month for 2,500 checks, about $0.28 each. Rupt starts at $99 for 20,000 evaluations, then $0.005.
Capabilities.
Checked against both products' public pricing pages and docs, August 2026.
Why choose Rupt.
Account-centric by design
Every device, IP, and action rolls up to the user behind it. You investigate accounts, not anonymous requests, and the full history is already assembled when you get there.
Continuous monitoring
Every signup, login, and sensitive action is evaluated, so an account's risk is tracked across its lifetime and new patterns surface as they form, not after the damage.
Automated challenges
Risky actions trigger hosted email or SMS challenges automatically. Legitimate users clear them in seconds, attackers don't, and nobody on your team had to send anything.
A force multiplier for risk teams
Detection, decisioning, and enforcement run continuously without headcount. A team of one gets real coverage, and an established team spends its hours on judgment calls instead of triage.
AI-driven investigations
The AI agent digs into flagged accounts and watches for emerging abuse patterns around the clock, so your team reviews conclusions instead of assembling evidence.
Coverage across the whole journey
Evaluations are priced to run everywhere, from signup to checkout to content access, so you see the account's behavior end to end instead of a snapshot at the login gate.
Support that isn't gated behind Enterprise
Integration setup help, developer meetings, and direct Slack and email access with replies in hours come with every plan. Most vendors reserve that level of support for their top tier; with Rupt it's just how support works.
Single-vendor pricing
Fingerprinting, email and phone intelligence, rules, and challenges usually mean a vendor and an invoice each. Because Rupt ships them together, the bundle costs less than the sum of the point tools.
Migrating from SEON.
- 01
Swap the client snippet. Where you called SEON's init() and getSession(), load the Rupt SDK and call evaluate() on login, signup, and the actions you care about. Data starts flowing the same day.
- 02
Read evaluations server-side. Where you forwarded SEON's session payload to the Fraud API, one GET request now returns the verdict, risks, fingerprint, and device ID.
- 03
Rebuild only the rules that matter. SEON rules written against footprint signals won't map one to one, so recreate your device, IP, email, and velocity rules as Rupt policies and run them in observe mode against real traffic first.
- 04
Decide what stays. If AML screening is a compliance requirement, keep that module or a dedicated vendor, and let Rupt take the account abuse workload. Rupt's KYC, with deepfake detection built in, is coming soon and can absorb the document verification step when it lands. Cut over the fraud checks once observe mode agrees with your expectations.
Frequently asked questions.
See Rupt on your traffic.
Book a demo and we'll walk through your use case, show you the signals on real evaluations, and price out your volume.
- A walkthrough tailored to your use case.
- How detection, the rules engine, and challenges fit your stack.
- Pricing and a rollout plan for your volume.