Runtime Security for AI
Bot Detection
Bot Detection
Detect and block automated traffic, scrapers, and synthetic users before they drain your tokens, hijack your data, or poison your results.
Detect and block automated traffic, scrapers, and synthetic users before they drain your tokens, hijack your data, or poison your results.
Go beyond static rules with dynamic analysis of prompt patterns, frequency, and timing.
Block L3/L4 and L7 DDoS attacks in real time across your LLM applications.
Identify and block headless browsers, scripts and automation tools.
Identify unusual usage patterns like repeated prompts, rapid inputs, or copy-paste automation.
Control how often users can send requests, based on their IP, session, or token usage and stop abuse without affecting real users.
Bot Detection works seamlessly within the NeuralTrust runtime stack to offer full-stack protection.
//Set rulesimport { TrustGateClient } from 'trustgate-client'; // Create a new client with default optionsconst botDetection = new TrustGateClient(); // Collect bot detection dataconst data = botDetection.collectData();
console.log(data);
Mitigate risks before they escalate through Runtime Security