# Introduction
Source: https://docs.kentron.ai/introduction



Kentron AI is building the foundation for secure and compliant AI adoption. Our platform protects organizations from adversarial prompts, data leaks, and regulatory risks through advanced guardrails, continuous monitoring, and red teaming automation. Trusted by enterprises, Kentron helps teams deploy AI with confidence, transparency, and accountability.


# Contact Us
Source: https://docs.kentron.ai/support/contact-us



Contact us at [feedback@kentron.ai](mailto:feedback@kentron.ai)


# User Guide
Source: https://docs.kentron.ai/user-guide



### Step 1: Register Model (Mandatory)

**NOTE**: Currently, Kentron only supports OpenAI

<img alt="Flow Diagram" />

### Step 2: Create an Application

A central container for managing and monitoring each application’s security policies and guardrails. Every application starts with a default policy called “Launch,” which you can modify or remove as needed. The “Launch” policy consists of the following advance guardrails

* Toxicity Detection
* PII Detection
* Jailbreak Detection
* Profenitiy Detection

<img alt="Flow Diagram" />

### Step 3: There are three ways you can enforce the security policy in your agentic or AI/ML application

* Python
* JavaScript
* CURL

<img alt="Flow Diagram" />

### Step 4: The following are the required parameters to integrate Kentron with your applications:

* Polic ID: Gets auto-created
* Model ID: gpt-4o (case sensitive)
* Kentron API Key

<img alt="Flow Diagram" />

 

<img alt="Flow Diagram" />

### Step 5: Playground

Test your existing or newly created policies in the Playground with ease, powered by built-in prompts designed to accelerate evaluation and refinement.

<img alt="Flow Diagram" />

 

<img alt="Flow Diagram" />