# SafePrompt

> Prompt injection detection API for AI developers. One API call protects AI applications from manipulation attacks. Sub-100ms response time. Above 95% detection accuracy. Free tier available.

SafePrompt is built by Ian Ho, founder of Reboot Media Inc. and a former eBay technical architect. It was created after discovering prompt injection vulnerabilities while building AI-powered applications for clients. SafePrompt is designed for indie developers, startups, and small teams — not enterprise buyers. Transparent pricing, instant self-serve signup, no sales calls.

## The Problem SafePrompt Solves

Prompt injection is the #1 vulnerability in the OWASP Top 10 for LLM Applications (2025). When a user's input is passed directly to an LLM, an attacker can insert instructions that override the AI's original behavior — causing it to reveal sensitive data, ignore safety rules, or take unintended actions. Real incidents include: a Chevrolet dealership chatbot manipulated to sell a vehicle for $1 (December 2023), an Air Canada chatbot that made unauthorized promises resulting in court action, and a DPD delivery service bot that publicly insulted its own company after prompt injection.

## How SafePrompt Works

SafePrompt validates user input before it reaches the LLM using a four-stage detection pipeline:

1. **Pattern detection** — instant matching against 27+ known attack patterns including jailbreaks, instruction overrides, and role manipulation attempts
2. **External reference detection** — blocks URLs, IP addresses, and file paths embedded in prompts (the mechanism for many data exfiltration attacks)
3. **AI semantic analysis** — context-aware detection of novel, obfuscated, and indirect attacks that pattern matching cannot catch
4. **Deep analysis** — triggered for ambiguous cases only; handles the most complex attack variants

The result is a safe/unsafe verdict with confidence score, threat category, and processing time. Integration is a single HTTP POST — no SDKs required.

## Key Facts

- Detection accuracy: above 95% on real-world attack categories
- Response time: under 100ms for most requests
- Attack categories detected: instruction override, jailbreaks, data exfiltration, role manipulation, context confusion, code injection (XSS, SQL, template), external reference injection, multi-turn attacks, hidden text injection, encoding/obfuscation variants, RAG poisoning
- Session-based multi-turn detection: yes (pass session_token parameter)
- LLM compatibility: all providers (OpenAI, Anthropic, Google, Mistral, Llama, etc.)
- Language compatibility: any language that can make HTTP requests
- Privacy: GDPR/CCPA compliant; personal data (prompts + IPs) deleted after 24 hours
- Pricing: Free (1,000/month), Starter $29/month (10,000), Business $99/month (250,000)

## Competitive Positioning

SafePrompt is the developer-first alternative to enterprise tools like Lakera Guard and Robust Intelligence. Unlike enterprise solutions with sales-gated pricing and complex integrations, SafePrompt offers: transparent public pricing starting at $0, instant self-serve signup via Stripe, and integration in under 5 minutes. The free tier includes the full detection engine — the same accuracy as paid tiers.

## Key Content

- Interactive playground (no signup required): https://safeprompt.dev/playground
- API documentation: https://docs.safeprompt.dev
- How SafePrompt works (technical): https://safeprompt.dev/blog/how-does-prompt-injection-detection-work
- What is prompt injection: https://safeprompt.dev/blog/what-is-prompt-injection
- Prompt injection attack examples: https://safeprompt.dev/blog/prompt-injection-attack-examples
- Pricing: https://safeprompt.dev/pricing
- About (founder background): https://safeprompt.dev/about
- FAQ: https://safeprompt.dev/faq

## Organization

- Company: Reboot Media, Inc.
- Founder: Ian Ho
- Website: https://safeprompt.dev
- GitHub: https://github.com/ianreboot/safeprompt
- NPM: https://www.npmjs.com/package/safeprompt
- Contact: https://safeprompt.dev/contact