The Service
We design and build realistic vulnerable environments for companies that are developing AI security agents. The goal is simple: give your agent a target that looks and behaves like a real company, then measure what it finds.
Each lab is scoped to your requirements. Client-side attacks, server-side vulnerabilities, LLM injection, authentication flaws, API misconfigurations. You define the vulnerability classes. Our researchers build realistic applications that contain them. Your agent is launched against the environment and hunts for bugs. You review the results against the lab manual, measure coverage, and iterate on your model until it improves.
This is not a synthetic benchmark. These are full applications with real codebases, real architecture decisions, and real vulnerabilities, including zero-days discovered by our researchers.
Why Us
We've done this before
At DEFCON 33, an AI agent was deployed against our custom-built target (GeneQuest). 10 microservices, 80+ endpoints, 26+ real vulnerabilities. We measured detection rate, time-to-first-find, false positive rate, and vulnerability class coverage.
Zero-day content
Our researchers regularly discover zero-day vulnerabilities. These get embedded into lab environments, giving your agent targets it has never seen in any training data.
Your engineers stay focused
Building realistic vulnerable environments is a specialized skill. Outsourcing it to us lets your engineering team focus on what they do best: building and improving the model.
Custom to your scope
Every engagement is project-based. You define the number of labs, the vulnerability classes, and the complexity level. We build to spec.
How It Works
Scope
Define the number of labs, target vulnerability classes, and complexity requirements. We align on what realistic means for your agent's use case.
Build
Our researchers design and build full applications with real codebases, real architecture, and real vulnerabilities embedded at the specified depth.
Benchmark
Your agent is deployed against the environment. You measure coverage against the lab manual, identify gaps, tune, and repeat.