Every fraud team we've ever talked to runs on the same uncomfortable trade-off:
They find out their defenses have a hole in them only after a fraudster has already climbed through it. Chargebacks spike, a new account-creation flow gets abused, a promo code gets drained by bots, and only then does anyone go looking for the gap.
That's not because fraud teams aren't good at their jobs. They are, and they're often doing it with too little tooling and too much surface area to cover. It's a timing problem, and the timing keeps getting worse, because the other side of the table has changed faster than the defense has.
Fraud used to take manual effort.
Someone had to work out how to abuse a signup flow, test it, refine it, share it. Today, that work is largely automated. The tools available to attackers now let them probe for weaknesses at a speed and scale no human team could match.
Fraudsters get to run thousands of automated attempts against your website whenever they want. Most fraud teams get a pen test report once or twice a year, if that, and it's already stale by the time it lands in an inbox.
We didn't think that was good enough anymore.
What if defence could move at the same speed as attack?
This question is what led to Fennec.
Instead of waiting for a breach, a chargeback pattern, or a scheduled audit to reveal a weakness, Fennec puts AI agents on your side of the fight.
Give it your company's URL, and it deploys agents that actively probe your site the way a fraudster would: testing signup flows, checkout paths, account recovery, promo logic, and more, looking for exactly the kind of soft spots that get exploited in the wild. It comes back with a report: what's vulnerable, how it could be abused, and what to fix.
Built on a model that thinks like a fraudster
Under the hood, Fennec is powered by Gray, a Large Behavioral Model we built and trained specifically on fraudulent behavior patterns, not general web traffic, not generic security scanning, but the actual tactics fraudsters use.
That specialization is the point. A generic security scanner will tell you if your TLS certificate is expiring. Gray is built to think like the person trying to drain your loyalty points balance or create a thousand fake accounts to farm a referral bonus.
Red teaming, but for fraud
Security teams have had red teaming for years: hiring people to think and act like attackers so you can fix what they find before a real attacker does.
Fraud teams have never really had an equivalent, partly because "thinking like a fraudster" at scale and continuously wasn't something a small team of humans could do across every flow on a growing digital estate.
That's the gap Fennec is built to close: continuous, AI-driven adversarial testing, purpose-built for fraud, generating a prioritized list of fixes instead of just a threat feed.
We built Fennec because we believe fraud defense should be proactive by default, not reactive by necessity. That's the whole idea.