FraudNet
Verified Oct 16, 2026 ActiveEnterprise fraud and risk platform combining supervised ML, anomaly detection and graph neural networks over payments data.
Listed on EffectHub ·
Pricing
- Pricing model
- Contact sales
No public price on the site; /pricing is a 404 and every call to action is Request a Demo, as is usual for enterprise risk platforms priced on transaction volume.
Use tool ↗About FraudNet
Fraud.net sells fraud prevention, entity risk management and regulatory compliance to payments companies, banks, fintechs and commerce operators. The detection stack pairs supervised machine learning with anomaly detection and graph neural networks that map hidden connections between entities, wrapped in AI agents for triage. The vendor puts weight on explainability — models expose the data behind a decision and can be tuned to a customer's own risk priorities — and claims a patented machine learning process alongside customer results such as 90 percent reductions in fraud and account takeover. Public API documentation is available. The company is US-based, founded by financial services and e-commerce people, with Cathy Ross as president and co-founder.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 16, 2026
Verified sources
- Home page: platform of supervised ML, anomaly detection and graph neural networks, Request a Demo as the only sales route, footer 'Fraud.net Inc.', page title and schema name 'FraudNet' (15 October 2026)fraud.net ↗
- AI and machine learning page: graph neural networks for entity links, Tinka case study on account takeovers, Cathy Ross as president and co-founder (15 October 2026)fraud.net ↗
Is FraudNet legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- Domain registered
- Jun 23, 1997 (29 years ago)Registry record (RDAP), registrar Amazon Registrar, Inc., looked up Sep 6, 2026
- TLS certificate
- Issued by Google Trust Services, valid until Nov 17, 2026Seen in our own connection to the site on Oct 16, 2026
- Last checked
- Oct 16, 2026The site answered
- Operated by
- Fraud.net Inc., United StatesOur research, card verified Oct 15, 2026
Pros & cons of FraudNet
A serious enterprise risk platform rather than a bolt-on score: graph neural networks for entity linking plus explainable supervised models is the right shape for payments fraud, and the public API docs mean integration is not a black box. Expect an enterprise sales cycle — no price, no self-serve, no trial — and treat the headline 90 percent figures as vendor case studies until you see your own data.
Pros
- Combines supervised ML, anomaly detection and graph neural networks for entity linkage
- Explainability is a stated design goal — decisions expose the underlying data
- Public API documentation and release notes for integration work
- Covers fraud, entity risk and regulatory compliance in one platform
Cons
- No pricing whatsoever — every route ends at a demo request
- Effectiveness claims (90 percent fraud reduction) are vendor-supplied customer anecdotes
- Founding year and company size are not stated on the site
Best for
- Payments companies and fintechs needing entity-level fraud and risk scoring
- Risk teams that must explain a decline decision to a regulator
- Organisations wanting fraud detection and compliance screening in one platform
Not for
- Small merchants who need a self-serve tool with a published price
- Teams wanting to test on a sandbox before speaking to sales
Watch out: Enterprise risk platforms are typically priced per transaction screened, so cost tracks your volume; get that curve in writing before committing. The brand now writes itself FraudNet; contracts and the domain still say Fraud.net Inc.