NOW SELECTING FIRST DESIGN PARTNERS

We find and close the fraud gaps criminals would exploit - before they do.

Axatar is AI-native fraud red-teaming: continuous, simulated attacks on your fraud controls - built from real fraud-fighting expertise, safe by construction.

See how it works

BUILT BY FRAUD & AI LEADERS FROM PAYPAL

axatar · simulation #0417 · promo-abuse playbook
01 · SYNTHETIC IDENTITY
New account, varied email, clean history
PASSED CONTROLS
02 · DEVICE ROTATION
Fingerprint variance across sessions
PASSED CONTROLS
03 · PROMO REDEMPTION
Duplicate-account check probed
GAP FOUND · $ EXPOSURE QUANTIFIED
04 · FIX & RE-TEST
Control patched, chain re-run
GAP CLOSED · VALIDATED
black-box · zero customer impact✓ safe by construction
The shift

AI flipped the economics of fraud.

For decades, scale was the moat - giants defended with massive engineering fleets. That advantage is gone.

Defenders

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.

Attackers

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.

Every detection vendor grades fraud after launch - and none can objectively test its own stack. Attacking the controls before criminals do, with no conflict of interest, is a lane nobody owns yet.
The platform

Continuous, AI-driven fraud red-teaming.

An AI platform with expert-led engagements that finds and fixes fraud vulnerabilities before they become losses.

Attack Playbooks

Curated, continuously updated fraud scenarios by industry: account takeover, card testing, promo-abuse rings, refund exploitation, synthetic identities, mule payouts.

AI Simulation Engine

Generates realistic adversarial user journeys across web, app & API - varying identity, device, behavior, payment instruments and velocity. Scheduled or event-triggered.

Findings That Ship

Every gap becomes a prioritized Fraud Vulnerability Report: attack path, evidence, dollar impact, fix + effort estimate, and re-test validation.

Safe by construction: black-box attacks from the outside, on assets we control, stopped at the last reversible step before real value moves - production or sandbox, your call per scenario.

The engagement

From first call to closed gaps.

A first engagement runs 2-6 weeks, end to end. Here's what it looks like from your side.

01

Scope

A short scoping call, then signed rules of engagement: scenarios, volume ceilings and boundaries agreed up front. Black-box and outside-in - no integration, no data access, no engineering lift on your side.

02

Simulate

The AI engine runs adversarial journeys against your controls, the way a motivated fraud ring would - at machine scale, within the agreed scope. We stop before real value moves.

03

Report & re-test

You get a prioritized Fraud Vulnerability Report: what broke, what it would have cost, how to fix it. We re-test after the fix to confirm the gap is closed.

Find your gaps first.

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.