LLM Security Platform
Multi-layered security for your AI applications
Advanced heuristics detect and block malicious prompt injections, role manipulation, and instruction override attempts
Machine learning models trained on thousands of attack patterns for sophisticated threat detection
JWT-based multi-tenant auth with bcrypt hashing, role-based access control, and session management
72-character cryptographic keys with SHA-256 hashing, one-time display, and granular permissions
OCR text extraction and image analysis to detect attacks hidden in visual content and metadata
Real-time security event logging with structured JSON format for Splunk, Datadog, and more
Detect attacks in Chinese, Russian, Japanese, Arabic, and 10+ other languages
Custom security policies with tool restrictions and risk-based enforcement rules
Comprehensive dashboards with threat distribution, risk scores, and endpoint performance metrics
Continuous monitoring with security alerts, severity levels, and automated threat response
Prevent unauthorized tool usage with policy-based restrictions and real-time validation
Complete audit trails, user activity tracking, and historical assessment data for compliance
Protecting against the latest threat vectors
Get started in minutes with our simple API
from promptguard import Guard
# Initialize PromptGuard
guard = Guard()
# Assess user input
result = guard.assess(
system="You are a helpful assistant",
user=user_input
)
# Block malicious prompts
if result['block']:
return "Request blocked for security"
# Safe to proceed
return llm.chat(user_input)Join leading AI companies protecting their applications with PromptGuard