Runtime Security for AI

Bot Detection

Detect and block automated traffic, scrapers, and synthetic users before they drain your tokens, hijack your data, or poison your results.

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Identify scraping and scripted abuse at scale

Go beyond static rules with dynamic analysis of prompt patterns, frequency, and timing.

Cost Control

Data Protection

Uptime Assurance

Prevent unexpected expenses by limiting misuse, optimizing usage, and tracking spend.

Block unauthorized training and safeguard sensitive data from theft or exploitation.

Keep your LLM app reliable and resilient with safeguards that prevent downtime risks.

Cost Control

→

Prevent unexpected expenses by limiting misuse, optimizing usage, and tracking spend.

Data Protection

→

Block unauthorized training and safeguard sensitive data from theft or exploitation.

Uptime Assurance

→

Keep your LLM app reliable and resilient with safeguards that prevent downtime risks.

Stop automatic attacks before they reach your LLM

DDoS mitigation

Block L3/L4 and L7 DDoS attacks in real time across your LLM applications.

Non-browser traffic

Identify and block headless browsers, scripts and automation tools.

Suspicious behavior

Identify unusual usage patterns like repeated prompts, rapid inputs, or copy-paste automation.  

Rate Limiting

Control how often users can send requests, based on their IP, session, or token usage and stop abuse without affecting real users.

Bot Detection for LLM Workloads

Bot Detection works seamlessly within the NeuralTrust runtime stack to offer full-stack protection.

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app/api/signup/route.ts

Copied

//Set rules
import { TrustGateClient } from 'trustgate-client';
 
// Create a new client with default options
const botDetection = new TrustGateClient();
 
// Collect bot detection data
const data = botDetection.collectData();
console.log(data);

Secure your AI infrastructure today

Mitigate risks before they escalate through Runtime Security

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