AI adoption is accelerating across every organization.

Employees are using tools like ChatGPT and Claude to automate work, build applications, and move faster. But most of this activity is happening outside IT visibility and control.

The result is a new category of risk:

• Sensitive data being shared in prompts
• Applications built outside approved systems
• No audit trail or governance
• Growing “shadow AI” across teams

This creates a real problem for security and compliance teams. You don’t just need AI adoption. You need controlled AI adoption.

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The gap: AI capability vs enterprise control

Most AI tools today are designed for speed, not control.

They:

• Run outside your infrastructure
• Process data externally
• Provide limited visibility into usage
• Increase compliance burden

This forces companies into a bad tradeoff:Move fast and accept risk or Slow down and block usage. Neither works.

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A different approach: AI inside your environment

Peridot takes a fundamentally different approach. Instead of routing data through external systems, it enables teams to build AI applications directly inside your infrastructure.

This means:

• No data leaves your environment
• Full control over models and access
• Complete auditability of usage
• Alignment with existing security and compliance frameworks

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Download the Enterprise AI Security Brief

For a concise overview of how this works, including architecture, governance, and compliance impact:

Download the Enterprise AI Security Brief (PDF) below.

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Who this is for

This brief is designed for:

• CISOs evaluating AI risk
• CTOs and platform teams
• Security and compliance leaders
• Engineering teams responsible for infrastructure

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Final thought

The question is no longer whether your teams will use AI. They already are.

The real question is: Can you enable it without losing control? Peridot enables teams to build AI applications and agents — securely, inside your infrastructure.