For Fintechs & Platforms
Real-time fraud mitigation infrastructure. Now in early access.
Fraudeny detects, scores, and blocks risky activity in real time through a single API. Built by a founder who has shipped fraud models in production. Goes live in hours, not months.
No credit card. No sales call. No 6-month contract.
{
"risk_score": 87,
"risk_level": "HIGH",
"explanation": [
"IP country mismatch (0.35)",
"Amount 4.2x above average (0.28)",
"3 transactions in 5 min (0.22)",
"First purchase in category (0.15)"
],
"action": "BLOCK",
"latency_ms": 47
}
Most companies either overpay for enterprise tools, waste months building in-house, or simply go unprotected.
No sales call. No 6-month contract. No procurement committee.
Fraudeny
Enterprise Solutions
import requests
response = requests.post(
"https://api.fraudeny.com/v1/score",
headers={"Authorization": "Bearer fd_live_..."},
json={
"amount": 499.99,
"currency": "USD",
"card_country": "US",
"ip_country": "NG",
"user_id": "user_456"
}
)
score = response.json()
# Returns in 47ms
curl -X POST https://api.fraudeny.com/v1/score \
-H "Authorization: Bearer fd_live_..." \
-H "Content-Type: application/json" \
-d '{
"amount": 499.99,
"currency": "USD",
"card_country": "US",
"ip_country": "NG",
"user_id": "user_456"
}'
const res = await fetch(
"https://api.fraudeny.com/v1/score",
{
method: "POST",
headers: {
"Authorization": "Bearer fd_live_...",
"Content-Type": "application/json"
},
body: JSON.stringify({
amount: 499.99,
currency: "USD",
card_country: "US",
ip_country: "NG",
user_id: "user_456"
})
}
);
Every score includes SHAP-powered explanations. Know exactly why a transaction was flagged. Audit-ready for compliance.
Most fraud systems ask one question: "Is this transaction suspicious?" We think that's necessary but not enough.
Cybersecurity evolved from breach detection to attack surface management years ago. Fraud hasn't made that leap yet. We're building toward a world where fraud teams don't just react to suspicious events -- they map their entire fraud surface, understand what's exposed, and respond with auditable, deterministic actions.
The scoring API is our foundation. What comes next is the infrastructure to shift fraud prevention from event-centric to surface-centric.
NICE Actimize starts at $500K/year. SEON starts at $7,200/year. Fraudeny starts at $0.
"I spent years building fraud models for large institutions. Riskernel is the product I wanted when speed, explainability, and ops usability all mattered at once."
Former AI Research Team Leader at NICE Actimize (4 years)
Former Chief Data & AI Scientist at Skyhawk Security
Background across fraud detection, cybersecurity, and ML infrastructure
Author of the Semi-discrete Calculus and Algogens AI theories
Featured in TechTarget, Dark Reading, CSO, Yahoo Finance
If someone finds Riskernel because of the writing, they should immediately understand the next move: book Amir for a podcast or conference, use him for a paid vendor-evaluation or shadow-test decision, or follow the weekly briefing and quarterly report.
For podcasts, conferences, panels, and internal briefings that need an operator voice on fraud infrastructure, vendor evaluation, explainability for ops, payout risk, and real production tradeoffs.
View topics and booking detailsFor paid expert sessions on vendor evaluation, shadow-test design, payout-control reviews, and the operational decisions that should be made before a team commits.
See advisory use casesA weekly note for serious fintech operators. No generic founder commentary, just concrete notes on fraud infrastructure, rare-event modeling, payout risk, latency, and explainability.
Join the briefingA sharper public artifact for podcast hosts, conference organizers, and buyers who want one place to understand the current operator point of view.
Read the current reportThe average fraud attack costs $4.24 per dollar lost. Start protecting your transactions in the next 5 minutes.
Join the waitlist for early API access. No credit card required.