Protecting against inference theft

This article covers inference theft, where attackers steal paid AI API calls.

• •AI inference costs $2 per call, making theft millions of times more profitable than stealing HTTP requests
• •Attackers use residential proxies and adapters to present stolen APIs as OpenAI-compatible
• •Session authentication fails at scale; attackers bypass it using proxy IPs
• •Request-level verification is necessary to prevent profitable theft
• •Vercel's BotID uses invisible client-side ML to detect and block bot requests

This summary was automatically generated by AI based on the original article and may not be fully accurate.