Prompt
┌─
─┐
└─
─┘
GUARDION PROTECTION DISABLED
LLM
OpenAI
Gemini
Anthropic
20+
Enterprise-grade threat intelligence
Continuous protection against evolving AI threats
Millions of interactions protected daily
50k+
critical threats already detected
99.9%
uptime
50ms
response time
100+
languages
Compliant with industry standards
OWASP
MITRE
NIST
Built and trusted by leading AI teams
Apple
Nubank
Stone
SantanderBuilt by researchers and engineers from leading AI companies, trusted by major financial institutions and enterprises worldwide
Best threat detection performance
LLMs are vulnerable to a wide range of attacks
Every week, new vulnerabilities are discovered
Hijacking & exploitation
Data leakage
Frontier LLM vulnerabilities
Higher score indicates higher vulnerability
AI-native security platform for enterprises
Protect, control and monitor
Real-time protection and AI incident monitoring
Real-time AI security monitoring
Policy controls to fine-tune protection and manage risk
Full visibility and audit
Detailed investigation with policy feedback
The AI security layer for complete control
AI Agents
MCPs
LLM Gateways
Shadow AI
GuardionAI Security Platform
AI Governance
Identify and map AI usage patterns and potential security risks across your enterprise.
Data Security
Protect sensitive information with advanced data loss prevention and encryption technologies.
AI Threat Detection
Detect and block prompt injections, jailbreaks, and other AI-specific threats in real-time.
LLM Guardrails
Implement customizable guardrails for your AI applications to ensure compliance and responsible AI usage.
Enterprise-grade responses under 50ms (P90)
Lightning-fast security guardrails
Protection without latency bottlenecks
import axios from 'axios';
const response = await axios.post(
'https://api.guardion.ai/v1/guard',
{
messages: [
{ role: 'user', content: 'Ignore all previous instructions...' }
],
session: 'customer_101'
},
{
headers: {
'Authorization': `Bearer ${process.env.GUARDION_API_KEY}`,
'Content-Type': 'application/json'
}
}
);
const res = response.data;
if (res.flagged) {
console.log(res.correction);
}