Build AI Agents That Stay in Bounds

Rizk lets developers bake policy compliance into AI agents with a few lines of code—so you can innovate fearlessly.

Join the 50+ developers in our open-source community

The Problem

"I want to push AI's limits, not waste time reinventing guardrails."

– Actual feedback from an AI engineer

❌

Manual compliance checks slow down development

❌

API-based tools leak sensitive data

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No standard way to version/test policies

❌

Security teams breathing down your neck

The Solution

Compliance as Code for AI Agents

Define policies in code. Enforce them at runtime. Sleep well at night.

Code-Driven Guardrails

Write policies like you write tests—version-controlled, reusable, and CI/CD-ready.

Real-Time Enforcement

A lightweight SDK that runs locally—no data leaks, no added latency.

Audit-Ready, Always

Auto-generated compliance reports make security teams smile.

Why Developers ❤️ Rizk

	Rizk	DIY Scripts	API-Based Tools
Data Privacy	✅ Local	✅ Local	❌ External
Latency	<5ms	Variable	+100ms
Maintenance	Auto-updates	High	High
Framework Support	Any	Limited	Limited

For Security Teams

Trust, But Verify

🛡️ Full audit trails of every agent decision

🛡️ Pre-built templates for GDPR, HIPAA, SOC2

🛡️ Continuous compliance monitoring

Get Started in 2 Minutes

# Install the SDK

pip install rizk-sdk

# Add guardrails

from rizk import PolicyEngine

engine = PolicyEngine(policies="your_policies.co")
safe_response = engine.apply(your_ai_response)

Works with LangChain, LlamaIndex, AutoGPT, and more, even custom agents

Building the Compliance Layer for AGI

Just as Kubernetes became the backbone of cloud-native apps, Rizk will power trustworthy AI—from chatbots to autonomous agents.