SafePrompt, an AI security company, announced the general availability of its prompt injection protection API, enabling developers to shield AI applications from manipulation attacks with one line of code. The API detects and blocks prompt injection, jailbreaks, and data extraction attempts before they reach an AI model, addressing a vulnerability that affects every application built on large language models.

Prompt injection is the top security risk for AI applications. Attackers override AI instructions to extract confidential data, bypass safety measures, or manipulate output. In a widely reported 2023 incident, a Chevrolet dealership chatbot was tricked into agreeing to sell a vehicle for $1 — illustrating how a single unprotected prompt can cause real financial damage.

SafePrompt processes most requests in under 100 milliseconds using a multi-layer validation pipeline that combines instant pattern detection with AI-powered semantic analysis. The system identifies injection attempts, code injection (XSS, SQL), external reference attacks, and sophisticated multi-turn manipulation sequences where attackers spread an attack across several messages.

"We built SafePrompt because every developer shipping AI features faces the same problem — prompt injection — and the existing options were either expensive enterprise tools or fragile regex filters," said Ian Ho, Founder of SafePrompt. "Our goal was to make prompt security as simple as Stripe made payments: one API call, transparent pricing, no sales calls."

The platform includes network intelligence that aggregates anonymized threat data across all users. When one application blocks a new attack pattern, every SafePrompt-protected application learns from it within hours. All threat data is anonymized within 24 hours, maintaining GDPR and CCPA compliance.

SafePrompt offers transparent, self-serve pricing starting with a free tier of 1,000 validations per month. Paid plans begin at $5 per month during the beta period, with standard plans at $29 and $99 per month for higher volumes. An NPM package (@safeprompt/client) and direct HTTP API support integration with any programming language or framework.

"The risk of prompt injection grows every time a company connects an LLM to real business logic — customer data, transactions, internal tools," said Ho. "Developers should not have to become security researchers to ship AI features safely."