Prompt Injection Detection
Real-time detection and blocking of malicious prompt injection and jailbreak attempts.
AI Application API Acceleration & Protection
Secure acceleration gateway for LLM API endpoints
AI applications face prompt injection, sensitive data leakage, and API abuse. ZyCDN AI protection deploys at the CDN edge as an LLM API gateway — providing prompt injection detection, sensitive data masking, rate limiting, semantic caching, and token usage statistics to optimize response speed while reducing malicious call risks with full data ownership.
Business Challenges
- Prompt injection and jailbreak attacks threaten LLM security
- Sensitive user input may leak to third-party models
- High LLM API costs with wasted tokens on duplicate requests
How ZyCDN Solves It
Sensitive Data Masking
Auto-detect and mask phone numbers, IDs, bank cards, and other sensitive information.
Semantic Caching
Identifies semantically similar requests and returns cached results, reducing API costs and latency.
Token Usage Statistics
Real-time token consumption monitoring with budget alerts and cost analysis reports.
How to Implement
- 1Point AI application API requests to ZyCDN edge nodes
- 2Configure prompt injection rules and sensitive data masking policies
- 3Set API-level rate limits and token budget alerts
- 4Enable semantic caching to reduce costs for duplicate requests
FAQ
How does ZyCDN defend against prompt injection on LLM APIs?
ZyCDN deploys a prompt injection detection engine at the edge, analyzing user input for malicious injection patterns and jailbreak attempts in real time, blocking matched requests immediately.
How can AI API responses be accelerated while reducing token costs?
ZyCDN semantic caching identifies semantically similar duplicate requests and returns cached edge results, skipping LLM API calls — reducing latency by 90%+ and significantly saving token costs.