> For the complete documentation index, see [llms.txt](https://docs.guardrail.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.guardrail.ai/resources/case-studies.md).

# Case Studies

See how protocols use Guardrail for real-time security monitoring.

***

### Euler Labs

> "Guardrail excels in price monitoring and price deviation by far compared to any of the tools in the market." — Erik Arfvidson, Head of Cybersecurity

**Challenge:** Managing multiple monitoring tools across chains with limited bandwidth to optimize configurations.

**Solution:** Consolidated from 3 tools to 1. Automated guard updates for new vault deployments. Reduced operational burden.

[Read full case study →](https://www.guardrail.ai/case-studies/euler-labs)

***

### Avantis

> "We don't have a security-focused engineer. Guardrail is our security engineer on the contract side. We cannot build out what you guys are building—the future of predictive threat detection." — Sehaj Singh, Founder

**Challenge:** Needed robust monitoring before mainnet launch without dedicated security personnel.

**Solution:** Implemented smart contract monitoring pre-launch. Formalized security processes. Saved significant engineering hours.

[Read full case study →](https://www.guardrail.ai/case-studies/avantis)

***

### Concero

> "I know a lot of people who use Guardrail, and I've been approached by many Guardrail competitors. But no one can tell me anything that will convince me not to use Guardrail." — Andy Bohutsky, Founder

**Challenge:** Cross-chain bridge security in a space where 50%+ of losses occur.

**Solution:** 1-day implementation. Real-time cross-chain message validation. Early detection of transaction anomalies.

[Read full case study →](https://www.guardrail.ai/case-studies/concero)

***

### BadgerDAO

> "Guardrail provides peace of mind, tying directly into our PagerDuty system and actively monitoring critical positions. We've avoided costly liquidation events thanks to timely alerts." — Saj Raj, Core Contributor

**Challenge:** Complex vault strategies across multiple chains with liquidation risk during volatility.

**Solution:** PagerDuty integration. Proactive monitoring of critical positions. Reduced operational burden.

[Read full case study →](https://www.guardrail.ai/case-studies/badger)

***

### Credit Coop

> "The level of automation Guardrail brings to monitoring is going to be really crucial as the number of smart contracts we deploy increases exponentially." — Thomas Hepner, CTO & Co-Founder

**Challenge:** Scaling from P2P lending to complex vault products with increased risk profile.

**Solution:** Real-time monitoring across 5 chains. Custom integrations for on-chain credit infrastructure. $3.75M refinance facilitated with instant notification.

[Read full case study →](https://www.guardrail.ai/case-studies/credit-coop)

***

### Bluefin

> "It becomes very real when you have to put your own money in the system. Guardrail helped us model potential threats beyond basic security." — Francesco Mifsud, Security Lead

**Challenge:** Identifying manipulation attempts in a high-stakes trading environment.

**Solution:** Behavioral threat modeling. Quick response capability for suspicious activity.

[Read full case study →](https://www.guardrail.ai/case-studies/bluefin)

***


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.guardrail.ai/resources/case-studies.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
