How Stripe Radar helps prevent free trial abuse

Free trial abuse is accelerating, particularly among AI companies whose trials provide access to costly compute resources. Stripe detected 6.2 times more abusive trials between November 2025 and February 2026, with self-serve AI startups facing especially high exposure. Stripe argues that AI-powered fraud detection can identify abuse at signup and prevent substantial downstream losses.

The rise of free trial abuse

• Fraudsters increasingly cycle through free trials or use invalid payment methods without converting to paid plans.
• AI companies are especially vulnerable because free trials can grant access to expensive compute and APIs.
• AI startups with self-serve signup and direct API access experience 10 times more attempted abuse than enterprise AI companies.
• Similar patterns affect SaaS companies, marketplaces, and other businesses offering free trials.

Stripe Radar’s abuse-prevention controls

• Stripe Radar now offers a one-click control to detect behavior violating common trial terms, including repeated signups and missed cancellations.
• The system predicts abusive behavior with 90% accuracy.
• A new analytics page displays blocked high-risk payments and, for unenrolled businesses, shows transactions that would have been blocked.
• The model analyzes payment instruments, devices, payment history, card BIN data, virtual card indicators, email domains, session timing, and other risk signals across Stripe’s network.

Results for AI companies

• Cursor and other AI businesses use Radar to block suspicious users before they consume costly compute.
• Within two months, Stripe blocked over 550,000 high-risk free trials across four high-growth AI companies.
• Stripe estimates this prevented $4.4 million in downstream compute-related losses.

Stripe recommends its free trial abuse control for businesses across industries. Companies interested in early access can contact Stripe directly.