Stop abuse across the customer lifecycle.

Detect and block bad actors before they exploit your business's policies or products.

The opportunity

Customer abuse is growing. Most fraud tools weren't built to catch it.

Fraud and abuse are no longer limited to checkout—they exploit free trials and tiers to steal tokens, use invalid payment methods in post-pay business models, and claim refunds for products they actually received.

Stripe Radar is built to detect and block fraud from signup to usage. Trained on Stripe's network, Radar's AI learns from patterns identified across millions of global businesses—so your protection gets stronger over time.

Prevent customer abuse before it costs you.

Stay ahead of first-party fraud at every stage—not just at the moment of payment.

FPO

Stop high-risk signups and free trial abuse

Flag and block bad actors at account creation without turning away legitimate customers. For AI companies, protect free tiers and trials while preventing costly token theft.

Tell malicious bots from legitimate ones

At payment time, block fraudulent automated transactions without disrupting legitimate agentic commerce.

Defend your usage-based and post-pay revenue

Identify bad actors running up compute, bandwidth, or storage bills before they churn without paying. Built for the abuse patterns hitting AI companies hardest.

The Stripe network enables Radar to detect and block abuse at scale

95%precision in blocking fraudulent free trials
1 in 6registrations at AI companies are from bad actors already known to Stripe
42%decrease in fraudulent free trials for businesses using Radar

Stop bad actors from exploiting your product.

Radar protects against common and emerging types of customer abuse.

Free trial abuse

Bad actors sign up for free trials with no intent to pay when required, using prepaid cards or canceling immediately after access is granted.

Multi-account abuse

Bad actors create multiple accounts to repeatedly access free tiers, trials, or promotions.

Bot abuse

Bad actors deploy automated and scripted behavior that exploits self-serve flows at scale.

Pay-as-you-go abuse

Bad actors accumulate large usage bills (compute, bandwidth, storage) and churn without paying when required. Particularly costly for AI companies.

Behind the scenes:

Cursor prevents customer abuse and payments fraud with Radar.

1 Merchant Risk Council and B2B International. 2026 Global eCommerce Payments & Fraud Report. Merchant Risk Council, 2026.