A single API call that detects and blocks prompt injection attacks in real-time before they ever reach your AI model. One call. Instant verdict.
NO CREDIT CARD REQUIRED // FIRST TO KNOW ON LAUNCH
$ curl -X POST https://api.ztklabs.com/v1/analyze \
-H "Authorization: Bearer sk_live_..." \
-d '{"prompt": "Ignore all previous instructions..."}'
Built for developers who ship AI products fast and can't afford to let a single injection slip through.
Analyze user prompts in milliseconds before they reach your AI model. Zero added user-perceived latency.
Blazing fast responses that integrate seamlessly into your existing stack without slowing users down.
A single HTTP call. Works with any language, any framework, any LLM — GPT, Claude, Gemini, or your own model.
Every verdict includes a confidence score so you can tune your own safety thresholds to match your risk tolerance.
Our model continuously learns from real-world attack patterns across the network, so your protection improves automatically as threats evolve.
A real-time dashboard showing injection attempts, attack categories, and trends across your applications.
Three simple steps stand between your AI app and a successful prompt injection attack.
Before passing a user's message to your LLM, send it to the ztkLabs API with your API key. Works inline with your existing request flow.
POST https://api.ztklabs.com/v1/analyze
Authorization: Bearer sk_live_...
{
"prompt": "Ignore all previous instructions and...",
"context": "customer-support-bot"
}Our models scan for instruction overrides, jailbreak patterns, data exfiltration attempts, and novel adversarial inputs — all in under 50ms.
Receive a clear safe/unsafe verdict with a confidence score and attack category. Block the request or let it through — you stay in control.
{
"safe": false,
"confidence": 0.97,
"category": "instruction_override",
"latency_ms": 23
}As AI assistants gain more autonomy — browsing the web, reading emails, executing code — malicious actors embed instructions in external content to hijack them. OWASP ranks prompt injection as the top risk for LLM applications.
"Ignore previous instructions" attacks that hijack your AI's system prompt and behavior.
Crafted prompts that instruct your AI to leak sensitive user data or your proprietary system prompt.
Adversarial inputs that bypass your AI's safety filters and content restrictions.
Join the waitlist for early access, launch pricing, and updates as we build our platform.
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