Detect and neutralize prompt injection attempts in PDFs, Word, TXT, and Markdown before they compromise your AI system.
✓ Coming soon • ✓ Early access available • ✓ Free beta
Malicious prompts can be hidden in metadata, hidden layers, or even in images within PDFs.
A single compromised document can expose sensitive data, system prompts, and your AI credentials.
Traditional tools don't understand AI context. By the time they detect it, the damage is done.
Process thousands of documents in seconds without adding friction to your user experience.
ML engine optimized for 99.9% accuracy. We don't block legitimate content.
Intuitive interface for manual document uploads or integrate via REST API for complete automation.
Detailed logs, real-time metrics, and customizable alerts via Slack/Email.
Your documents are processed and immediately discarded. We never store your file contents.
Detection in 50+ languages. Support for special characters and exotic encodings.
Access the dashboard and get your API key to start.
POST /api/v1/scan
Authorization: Bearer YOUR_API_KEY
Use the dashboard for manual uploads or integrate via API to process automatically.
// Via dashboard: drag and drop
// Via API: POST with multipart/form-data
{
"file": document,
"mode": "strict"
}
Access detailed reports in the dashboard with status: SAFE, SUSPICIOUS, or MALICIOUS.
{
"status": "SAFE",
"confidence": 0.98,
"threats_detected": 0
}
The first 100 users will have lifetime access to the Professional plan for free during the beta period.
Your opinion matters. Help shape Arxivex features and priorities before the official launch.
Permanent discounts, priority support, and early access to all new features.
Fair and transparent pricing. We'll announce prices soon.
Perfect to get started
For growing companies
Custom solution
💡 Sign up for the waitlist now and receive notification when prices are announced. Bonus: First 100 users get 50% lifetime discount!
Sign up now and be among the first to get access
✓ Early access • ✓ Free beta • ✓ 50% lifetime discount
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