AI Risk Removal with Guardrails
Remove and safeguard against vulnerabilities in your AI apps
Set up customized, enterprise-ready guardrails for Generative AI use cases with Enkrypt AI.
Why Guardrails?
Different Gen AI Use Cases Require Customized Guardrails
Delivering secure and reliable Gen AI apps requires continuous surveillance and active interception. Enkrypt AI provides highly accurate and domain-specific Guardrail policies for all your specific use cases.
Gen AI Use Case Examples: Guardrails Needed
Personalized Customer Service Chatbots
Intelligent search recommendation systems
Content creation for marketing
Gen AI apps for increasing operational efficiency
Data analysis and reporting
Domain-specific like legal, finance, medical
Domain Specific Requirements
Customizable topic detectors
Domain specific injection attacks
Customizable keyword detectors
Customizable detectors for sensitive information
Introducing Guardrails by Enkrypt AI
Remove Risk Before it Impacts You.
Our Guardrails capabilities empower organizations to build GenAI applications without worrying about privacy, security, or moderation.
All powered by the world's most advanced AI security and safety platform.
User Loved. Hacker Hated.
Enkrypt AI Guardrails detects and removes LLM vulnerabilities for every use case.
Data Privacy
Sanitize sensitive information (PII, PHI) using redaction
Enhance Security
Prevent prompt injection attacks. Detect secret keys and code.
Enable Moderation
Detect and moderate harmful content. Ban toxic topics and competetors.
Why Choose Enkrypt AI Guardrails
Building Trustworthy AI
Enterprise-Ready
Customized for your use case
Role-based Guardrails
Domian-specific customizations
Adherence to regulatory frameworks
Higher Performance
Accuracy and Latency
Longer context windows
Higher accuracy, low latency
Multi-lingual support
Model Agnostic
Diverse model requirements
Cater to any of 700k+ models on Hugging face
Support for Small Language Models
Domain-specific models
Increase Security and Safety of your RAG Chatbot
Use Guardrails throughout your RAG workflow for optimal accuracy and security
Implement guardrails at the most critical areas of your RAG workflow: (1) before data enters the Vector DB, (2) before the query reaches the embedding model, and (3) before the response. Each step is fraught with vulnerabilities that could expose your company to brand damage and revenue losses.
Get Started with Guardrails
Fast deployment, accurate results, quick time to value
Try Guardrails on Playground
Login to app.enkryptai.com and visit Guardrails Playground. Try sample prompts for different Guardrails.
Integrate Guardrails code into your Workflow
Copy the code from the bottom pane in Guardrails Playground. Integrate this code into your codebase. The API key is embedded in the Nodejs or Python code. API key can also be taken from Settings in app.enkryptai.com
Monitor Usage and Threats on Dashboard
Check the Guardrails usage on Guardrails Dashboard as well as Threats Prevented
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