Rupt vs. Sift
Sift is an enterprise fraud suite sold by quote. Rupt is account protection you can turn on today at a public price.
The short version
Updated August 2026
- Sift is an enterprise ML fraud decisioning platform focused on payment fraud, with ML models trained and optimized for case reviews and fraud ops teams.
- Pricing is not public and buying starts with a sales cycle. Adopting it means instrumenting Sift's event schema, and staffing a review team queues for the structure it assumes. Product abuse like scraping, bots, and account sharing sits outside its payment and content focus.
- 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.
- Rupt's pricing is public and starts at $99 a month with 20,000 evaluations included. Sift is quote only, with a median contract of $150,000 a year in Vendr's data.
Capabilities.
Checked against both products' public pricing and docs, August 2026. Sift publishes no pricing, so contract figures come from Vendr.
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.
Adopting Rupt alongside Sift.
For Sift customers this usually isn't a rip-and-replace migration. The two products meet different layers, so the sane path is to run them together and let the data decide what consolidates.
- 01
Turn Rupt on at signup and login while Sift keeps payments. Load the client SDK, call evaluate() on the actions you care about, and data starts flowing the same day. Nothing about your Sift integration changes.
- 02
Read evaluations server-side. One GET request returns the verdict, scored risks, fingerprint, and device ID for every login and signup.
- 03
Run policies in observe mode for two to four weeks. Compare what Rupt flags on account traffic against what reaches Sift's queues, and tune before enforcing anything.
- 04
Consolidate where the numbers point. Plenty of teams keep Sift on payments and let Rupt own the account layer. If account fraud turns out to be the bigger bleed, the six-figure line item is the one to revisit.
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.