Adversarial Application Testing

Find the breakpoints before launch does it for you.

We test deployed AI and web applications from the outside to understand how they behave under real-world pressure, misuse, and unexpected inputs. This is not code review, infrastructure pen testing, or compliance theater. It is a focused application-level assessment of real behavior.

What We Test

A focused external assessment of how the application actually behaves.

We interact with the live or staging product the way a real user or attacker would, with particular attention to modern AI-enabled failure modes that teams often cannot see from inside the build.

Prompt injection, system prompt extraction, and AI misuse paths

Unauthorized access, cross-user exposure, and tier boundary failures

Publicly exposed endpoints, unexpected responses, and sensitive data exposure

Repeated actions, race conditions, duplicate execution paths, and broken workflows

Rate limiting, quota enforcement, denial-of-wallet vectors, and broader cost amplification

Malformed inputs, boundary conditions, and error-state behavior across the application surface

What You Get

Clear findings with enough structure to move quickly on remediation.

The deliverable is designed for technical teams and founders who need a concise picture of risk, practical next steps, and remediation context they can act on immediately.

A concise launch-readiness report with ranked findings and clear impact analysis

Reproducible steps using user actions or API requests

Practical recommendations for mitigation, grounded in observed behavior

A machine-readable audit file structured for AI coding assistants to consume directly

Before You Ship Wider

Need an external view of where the application breaks?

If the product is already live or nearing launch, we can help you understand how it behaves before users, attackers, or cost curves do it for you.