Design, Develop & Deploy AI Guardrails at Scale
A developer-centric platform to quickly design, develop, and implement custom guardrails at scale. Build production-ready AI safety in hours, not months.
Why EthicalZen?
Low-code platform for developers to build, test, and deploy guardrails at scale
Developer-First SDK
Low-code SDK and REST APIs for rapid integration. Add guardrails to your AI pipeline with just a few lines of code.
Real-Time Protection
Validate every AI request and response automatically. Block violations before they reach users.
Complete Visibility
Monitor all AI interactions with detailed logs, metrics, and compliance evidence for audits.
Deploy at Scale
Works with any AI service (OpenAI, Claude, Groq, etc.). Cloud-hosted or self-hosted deployment. Auto-scaling built-in.
Built-In Safety Rules
7 platform guardrails included: PII detection, toxicity filtering, hallucination checks, and more.
Guardrail Development Kit
Build custom guardrails with our developer toolkit. Define your own policies, metrics, and validation logic for any domain.
Common Use Cases
Industry-specific guardrails for your application
Safe LLM Access
Enable your team to use OpenAI, Claude, and other LLMs safely. Add guardrails to public AI APIs without blocking access.
Customer Support & Chatbots
AI-powered support with built-in safety. Prevent PII leaks, inappropriate responses, and brand violations.
E-commerce & Retail
Product recommendations and customer interactions with safety guardrails. Protect customer data and ensure brand consistency.
Enterprise Policy Enforcement
Enforce company-wide policies on AI usage. Control what data can be shared and ensure regulatory compliance.
Service-to-Service Validation
Add guardrails between your microservices. Validate AI-generated data flowing through your architecture.
Product Development
Ship AI features with confidence. Built-in safety lets you move fast without compromising on compliance or security.
See It In Action: Healthcare AI Safety
How a compliance executive added safety guardrails to their AI patient chatbot in under a week
The Challenge
Sarah, VP of Compliance at a 12-clinic healthcare network, needed to ensure their new AI patient intake chatbot was safe before go-live. The technology team built it, but she had to prove it wouldn't leak sensitive data or be manipulated. She had 3 weeks and critical concerns: What if the AI exposes patient information? What if someone tricks it into bypassing security controls?
Browsed 7 pre-built guardrails. Cloned PHI Detector, PII Scanner, and Prompt Injection Guard for healthcare.
Created custom guardrails for scheduling bypass and medical advice. AI generated threat patterns and ran simulations to tune accuracy.
Registered the use case, reviewed gap analysis covering 5 failure modes. Ran test scenarios. Certificate issued.
Presented compliance evidence to the board. Live demo: PHI blocked, injections stopped, safe queries passed. Unanimous approval.
"What I expected to take months took less than a week. The platform did the heavy lifting."
Ready to Build Your Guardrails?
Join developers building production-ready AI guardrails with our low-code platform
Start Building