---
last_updated: 2026-09-28
source_url: https://opper.ai/stories/gardera
title: "Gardera"
description: "Gardera runs its autonomous security engineer on Opper, in production within days and holding its no-code-storage promise all the way to the model layer."
---

# Gardera runs its autonomous security engineer on Opper

> Gardera, a Stockholm security company whose autonomous security engineer finds exploitable vulnerabilities, runs AI pentests and opens the fixes, runs all of its inference on Opper's EU-hosted AI gateway: zero data retention at the model layer, frontier models behind one gateway, automatic fallback, with production reached in days.

## About Gardera

Gardera is a Stockholm security company founded in 2025 by a team of AppSec practitioners. Its autonomous security engineer reads a codebase the way an engineer would, proves which findings are genuinely exploitable, and opens the pull requests that fix them. Gardera also runs AI penetration testing: swarms of offensive agents that attack customers' applications the way a real adversary would, chaining weaknesses together to show what an attacker could actually reach. It plugs into the tools developers already use, from GitHub and GitLab to CI pipelines and AI coding assistants, with a two-minute setup.

## The challenge

Every Gardera finding is the product of reasoning over real code: following data flow across files, confirming a vulnerability is reachable, drafting the fix. Its AI pentests add a swarm of attacking agents working in parallel, each reasoning through its own chain of model calls. That means long-context model calls, at a volume that grows with every repository and application a customer connects.

Two constraints came with it. Gardera promises customers their code is never stored, so the model layer had to meet the same standard. And the team's time belongs in the product, not in provider integrations, quotas and failover.

## The solution

Gardera runs its inference on Opper, from context and reachability analysis and its AI pentesting agents to the generated fix. Every call goes to [frontier models](https://opper.ai/models) through a single [EU-hosted AI gateway](https://opper.ai/), with no model infrastructure of Gardera's own to run.

- **EU-hosted**, with the gateway in AWS Stockholm and [EU model routes](https://opper.ai/ai-compliance), under one DPA that covers every model.
- **Zero data retention** on the routes that handle customer code: neither Opper nor the model provider stores prompts or completions.
- **Model freedom from the [control plane](https://opper.ai/ai-control-plane)**, so any step can move to a better model when one ships, with no integration rewrite.
- **[Automatic fallback](https://opper.ai/llm-router)** across providers, so a degraded endpoint fails over instead of stalling a scan.

## Results

Gardera went from first calls to production in days, with no integration project. The whole pipeline, from context and reachability through AI pentesting to the fix, runs through Opper with the data promise intact.

- **Engineering time goes into the product**, not into model infrastructure.
- **Headroom as customers connect more repositories**, with routing, fallback and data residency handled at the gateway.

## Quote

> Our customers' code is never stored. With Opper, that holds all the way to the model layer, at billions of tokens a day.

— **Marcus Modin**, Co-founder & CEO of Gardera

## Links

- [gardera.io](https://gardera.io)
- [Every model](https://opper.ai/models)
- [EU-hosted AI gateway](https://opper.ai/)
- [AI compliance](https://opper.ai/ai-compliance)
- [AI control plane](https://opper.ai/ai-control-plane)
- [LLM Router](https://opper.ai/llm-router)
- [All customer stories](https://opper.ai/stories)
