# Secure AI Sandboxing

## Safely connect AI to your enterprise data

Provision temporary, scoped AI sandboxes and ensure AI agents or models receive only the minimum data required, governed by detailed policies with full observability.

[Get a demo](https://meetings.hubspot.com/lukekim/talk-to-sales)  [View the docs](https://spiceai.org/docs)

### Do more with your data

Spice enforces fine-grained access controls, encryption, and compliance standards to protect your data from ingestion to inference.

- **100x** 
  Up to 100x faster queries
- **80%** 
  up to 80x cost savings on data lakehouse spend
- **2x** 
  increase in data reliability for critical workloads

- Data-centric isolation
- Principle of least privilege
- Governed runtime access
- Secure by default

#### Data-centric isolation

Spice provisions temporary, scoped datasets tailored to each model or agent. Access is short-lived, governed by policy, and auditable across the runtime, ensuring AI agents never touch production data directly.

[View the docs](https://spiceai.org/docs)

#### Principle of least privilege

Every query, embedding, or completion call is executed with only the minimum data required.

[View the docs](https://spiceai.org/docs)

#### Governed runtime access

All AI interactions run inside a governed runtime. Policies, roles, and encryption are enforced automatically, and every action is logged for compliance and traceability.

[View the docs](https://spiceai.org/docs)

#### Secure by default

By deploying Spice alongside your agents, sensitive tables remain behind your firewall while apps interact only with safe, pre-materialized datasets. The result is a smaller attack surface and sub-second access to frequently queried data.

[View the docs](https://spiceai.org/docs)

### Integrations across all of your data sources

Accelerate your data and AI stack with a library of 30+ prebuilt connectors for the most common databases, warehouses, and file stores- - from Databricks and S3 to MySQL and PostgreSQL. Govern AI sandboxes with the same policies as your production data environments.

[See connectors](/content/integrations/index.html)

### Deployed in production

Spice enforces access controls, encryption, and compliance standards to protect your data from ingestion to inference.

#### “Spice opened the door to take these critical control-plane datasets and move them next to our services in the runtime path.”

Peter Janovsky  
Software Architect, Twilio

0x  
Faster queries

#### “It just spins up and works, which is really nice. The responsiveness is amazing, which is a huge gain for the customer.”

Darin Douglass  
Principal Software Engineer, Barracuda

#### “Partnering with Spice AI has transformed how NRC Health delivers AI-driven insights. By unifying siloed data across systems, we accelerated AI feature development, reducing time-to-market from months to weeks - and sometimes days. With predictable costs and faster innovation, Spice isn't just solving some of our data and AI challenges - it's helping us redefine personalized healthcare.”

Tim Ottersburg  
VP of Technology, NRC Health

#### “Spice AI grounds AI in our actual data, using SQL queries across many data sources. This brings accuracy to probabilistic AI systems, which are very prone to hallucinations.”

Rachel Wong  
CTO, Basis Set

### See Spice in action

Walk through your use case with an engineer and see how Spice handles federation, acceleration, and AI integration for production workloads.

[Talk to an engineer](https://meetings.hubspot.com/lukekim/talk-to-sales)

### See Spice in action

Walk through your use case with an engineer and see how Spice handles federation, acceleration, and AI integration for production workloads.

[Talk to an engineer](https://meetings.hubspot.com/lukekim/talk-to-sales)