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Enterprise AI Security Best Practices

As AI adoption grows, enterprises must rethink how they approach security.


Key Principles

1. Keep Data Within Your Environment

Avoid sending sensitive data to external systems.

This is especially important for preventing data leakage in AI


2. Control Model Usage

Standardize which models can be used.


3. Implement Governance

Define who can build and use AI applications.


4. Monitor Usage

Track activity across teams.


5. Prevent Shadow AI

Centralize AI usage.


The Challenge

Most AI tools are not built for enterprise control.

They prioritize:

Not:


The Solution

Enterprises need a control layer for AI.


How Peridot Helps

Peridot provides:


Summary

AI security is not about restricting usage.

It is about:

controlling how AI is used


The Real Issue

Most companies think the risk is using AI.

It’s not.

The real risk is:

This is how shadow AI spreads.


The Shift

Instead of asking: “Is this tool safe?”

Enterprises should ask: “Do we control how AI is used across the company?”


Where Peridot Fits

Peridot exists for this exact reason.

It allows companies to:


AI adoption is inevitable.
Lack of control is optional. —

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