Move fast with AI. Know what you’re putting into production.

Human-led security testing for AI-built and vibe-coded applications—before they become someone else’s entry point.

Human-led security testing for AI-built and vibe-coded applications—before they become someone else’s entry point.

The Challenge

AI can turn an idea into a working application in hours. It can also introduce exposed secrets, weak access controls, vulnerable dependencies, insecure APIs, and business-logic flaws that automated scanners miss. The faster code ships, the easier it is for risk to outpace review.

AI can turn an idea into a working application in hours. It can also introduce exposed secrets, weak access controls, vulnerable dependencies, insecure APIs, and business-logic flaws that automated scanners miss. The faster code ships, the easier it is for risk to outpace review.

How We Work Together

Start with a 30-minute assessment to understand the application, the data it touches, how it is deployed, and what is at stake. From there, we recommend the right testing depth and can move directly into testing.

Start with a 30-minute assessment to understand the application, the data it touches, how it is deployed, and what is at stake. From there, we recommend the right testing depth and can move directly into testing.

AI Application Risk Assessment

A focused review of the application, its data, integrations, deployment, and known guardrails to identify likely risk and determine the right next step.

Human-Led Penetration Testing

When deeper validation is the right fit, our security engineers can move directly into a human-led penetration test. We test the application and its environment as an attacker would—building a working model of the application’s logic, trust relationships, and likely paths to abuse.

What We Test

Authentication, authorization, and session management
Secrets, sensitive data, APIs, and third-party integrations
Business-logic and workflow abuse
Cloud and deployment configuration
Cloud and deployment configuration
Vulnerable dependencies and AI-generated code
When models or agents are part of the product: prompt injection, data leakage, and unsafe tool access

What You Get

A clear view of exploitable risk before production
Prioritized findings in plain language and technical detail
Practical remediation guidance
A defined path to validate fixes

Built by humans. Accelerated by AI.

Automation can identify patterns. It cannot understand an application the way an attacker does. Our engineers use automation to move faster, then apply human judgment where it matters most.