Protect your LLM endpoints from prompt scraping, token abuse, and cost spikes. Rate limiting and threat detection purpose-built for AI APIs.
Three steps to secure your APIs. No configuration needed.
Add ShieldGuard as a middleware or WordPress plugin. One line of code, instant protection.
Our engine analyzes every request — bot UAs, rate patterns, SQLi, XSS, SSRF, credential stuffing, and more.
Threats are blocked automatically. You get alerts via email or Slack. Review logs anytime.
Built for developers, by developers
ShieldGuard is new and open-source. We built it because we needed it — protecting our own APIs from prompt scrapers, token abuse, and automated attacks. Now we're sharing it with you.
MIT licensed. Inspect the code, run it yourself, contribute on GitHub.
Self-host or use our cloud. Your data stays on your infrastructure.
TDD-built from day one. Every rule has a test. Every test has a purpose.
Detect and block automated prompt extraction, model distillation attacks, and training data harvesting. Keep your prompts and outputs yours.
Real-time monitoring of token consumption with automatic circuit breakers. Prevent runaway costs from abuse, loops, or adversarial prompt bombing.
Rate limit by tokens consumed, not just requests. Set limits per user, per model, per endpoint. Protect inference budgets at the granularity that matters.
Protect your LLM endpoints, track AI spend, and stop prompt injection — from free to enterprise scale.