# Cybersecurity

## Build high-performance cybersecurity applications

Spice provides the data and AI foundation for modern security solutions—combining federated access, acceleration, and resilience for low-latency, high-trust systems.

[Get a demo](https://meetings.hubspot.com/lukekim/talk-to-sales?uuid=836fd7be-a95e-4cee-b0cb-044fd8ea52a4&utm_campaign=22505145-Website+Demo+Requests&utm_source=homepageheader&utm_medium=website&utm_content=demo+request) [View the docs](https://spiceai.org/docs)

### Do more with your data

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

### Security apps demand more from their data layer

Security platforms rely on constant streams of telemetry, logs, and threat data. Traditional databases and pipelines introduce latency, complexity, and cost. These systems struggle to maintain performance under heavy workloads or network failures. Developers need a unified, resilient data runtime to power AI-driven insights and real-time analysis without operational friction.

### A query engine built for secure, high-scale workloads

Unify, accelerate, and govern your data for reliable, low-latency operations.

#### Low-latency data acceleration

Spice materializes frequently accessed data close to your application for instant reads, faster analytics, and predictable performance.

#### Resilient and distributed

Run Spice at the edge, in the cloud, or in hybrid deployments to maintain continuous access even during network disruptions or provider outages.

#### Unified data access

Query data across logs, object storage, and analytical systems in real time. Simplify architecture and remove complex ingestion and transformation pipelines.

#### AI-ready and auditable

Integrate LLMs and vector search directly within the runtime for intelligent detection, triage, or reporting. Every query and inference is traceable and governed.

### The data and AI runtime for modern security applications.

Spice powers fast, resilient, and intelligent security applications with unified access, built-in acceleration, and enterprise-grade governance.

Enterprise-Grade Performance

Query and serve results in milliseconds for real-time detection and response.

Resilience at Scale

Edge and distributed deployments ensure uptime even under adverse conditions.

Modern SQL Federation

Federate data from object stores, warehouses, and databases with zero ETL.

Governed and Secure

Native authentication, encryption, and audit logging built into every query.

AI-Enabled Insights

Built-in hybrid search and inference capabilities for contextual analysis.

Deployment Flexibility

Deploy Spice as a sidecar, cluster, or managed service, wherever your app runs.

### Deployed in production

Run data-intensive workloads on a high-performance engine trusted by teams building real-time systems at scale.

100x

**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

#### “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

#### “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

#### Build more scalable security apps

Guides and examples to learn more about building with Spice.

- [Recipe\  **Intelligent Security Copilot Cookbook** \  Follow this step-by-step recipe to stream query logs into Spice, apply AI-driven pattern analysis, and surface alerts for suspicious database activity.](https://github.com/spiceai/cookbook/blob/trunk/guides/security-analyzer/README.md)  
- [Recipe\  **Data Retention Policy Cookbook** \  This recipe shows how to set up a retention policy for an accelerated dataset to evict data older than a specified duration.](https://github.com/spiceai/cookbook/blob/trunk/retention/README.md)  
- [Docs\  **Documentation** \  Explore the docs for examples, additional cookbooks, starting templates, and more.](https://spiceai.org/docs)

### 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)