Guardrails 101
Developers, security engineers, and product teams
Master the fundamentals of AI guardrails. Learn how to protect your AI applications with comprehensive guardrail configurations, detectors, and monitoring. Perfect for anyone looking to secure their AI systems.
For
Developers, security engineers, and product teams
Duration
1 hr 45 min
Lessons
12 lessons
Lessons in This Path
Getting Started(3 lessons)
Creating an Enkrypt AI Account
Learn how to sign up, authenticate, and access enterprise workspaces
Managing Your API Keys
Get your API key, create additional keys, and learn security best practices
Quick Integration Guide
Connect Enkrypt AI to your applications using Python SDK or AI Proxy
Guardrails(9 lessons)
The Guardrails Dashboard
Learn how to navigate and use the Guardrails dashboard for production configurations
Creating Guardrail Configurations
Step-by-step guide to creating and configuring guardrail setups
Injection Attack Detector
Learn how to protect your AI from malicious prompts, jailbreaks, and instruction overrides
PII Detector and Redaction
Detect and redact sensitive personal data including PII, secrets, and IP addresses
Policy Violation Detector
Enforce compliance by checking content against your uploaded policy documents
Viewing Detection Logs
Learn how to use logs to identify patterns, debug issues, and audit compliance
Configuring Deployments
Connect your guardrail configurations to AI models and create protected endpoints
AI Proxy Integration
Integrate guardrails with minimal code changes using the AI proxy endpoint
Quick Reference Guide
Handy reference for detector recommendations, use cases, and troubleshooting
What You'll Learn
- Understand guardrail fundamentals and use cases
- Create and configure guardrail setups
- Implement key detectors (injection, PII, policy violations)
- Monitor and analyze guardrail performance
- Integrate guardrails into production workflows
Complete to earn
Guardrails Expert