Axatar is AI-native fraud red-teaming: continuous, simulated attacks on your fraud controls — built from real fraud-fighting expertise, safe by design.
For decades, scale was the moat — giants defended with massive engineering fleets. That advantage is gone.
Ship slowly under release cycles, compliance gates and brand risk. Blind spots surface only after criminals exploit them — when the loss already sits in the P&L.
Iterate infinitely at near-zero cost. One successful bypass is a signal to the whole underground: there's a hole here — worth mining at scale.
An AI platform with expert-led engagements that finds and fixes fraud vulnerabilities before they become losses.
Curated, continuously updated fraud scenarios by industry: account takeover, card testing, promo-abuse rings, refund exploitation, synthetic identities, mule payouts.
Generates realistic adversarial user journeys across web, app & API — varying identity, device, behavior, payment instruments and velocity. Scheduled or event-triggered.
Every gap becomes a prioritized Fraud Vulnerability Report: attack path, evidence, dollar impact, fix + effort estimate, and re-test validation.
Safe by design: simulations run as tagged synthetic journeys — flagged test identities, auto-voided orders, zero impact on production models or real customers — guided by a judgment layer encoded from operators who have fought fraud at scale.
Everyone else brings scale, fraud expertise, or a proactive mindset. Axatar brings all three.
Nine years at PayPal — from machine-learning scientist building entity-resolution algorithms that still run in production fraud prevention, to leading an AI/ML group within the centralized Data Science organization: managing managers, partnering with executives across Risk, Credit and Compliance, and directing the graph-AI transformation of PayPal's fraud infrastructure. Before that: Shaldag, an elite Israeli Air Force unit, where defense starts with thinking like the attacker.
We're selecting a small group of design partners for the first fraud pen-test engagements. If fraud loss has a line in your P&L, let's talk.
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