YOUR OUTSOURCED AI DEPARTMENT ยท SECURITY PRACTICE
Security for software and AI systems
Mecha Minds combines traditional application security with research-driven testing for AI-enabled products. We help teams find technical risks, understand their business impact, and fix them before those risks become customer or production incidents.
Capabilities
Four service areas, scoped to the system you need evaluated.
Black-box penetration testing
Test externally accessible applications and APIs from an attacker's perspective within an explicitly authorized scope.
White-box application review
Review architecture, source code, authentication, authorization, tenant isolation, data flows, secrets management, and other internal controls.
Cloud and API security
Evaluate cloud configuration, service boundaries, IAM, exposed APIs, logging, sensitive-data handling, and deployment practices.
AI and agent security testing
Examine direct and indirect prompt injection, tool abuse, authorization bypass, sensitive-data disclosure, insecure output handling, excessive agency, and unsafe automation boundaries.
How an engagement runs
Four stages, from authorization through verified fixes.
Scope and authorize
We agree in writing on the systems in scope, the testing window, the techniques permitted, and who to contact if something needs to stop.
Assess and test
We map the architecture, trust boundaries, and data flows, then test the application, APIs, cloud environment, and AI workflows against them.
Report and prioritize
You get findings ranked by real-world impact and effort to fix, so your team knows what to address first and what can wait.
Remediate and retest
We stay available while your team fixes what we found, then retest the affected paths to confirm the fixes hold.
What you receive
Deliverables include evidence-backed findings, practical severity ratings, recommended fixes, and an executive summary suitable for internal stakeholders. No engagement can make a system completely secure, and we will not claim otherwise. What we can do is show you where the meaningful risk sits and give your team a clear path to reducing it.
A private environment for deeper AI testing
Our local research infrastructure allows us to evaluate AI applications with open-weight models in a controlled environment. This gives us additional flexibility for testing prompt, agent, and automation security without depending entirely on the restrictions or visibility of hosted model providers.
Have a system you want tested?
Tell us what you are building, automating, or preparing for enterprise review. We will give you an honest assessment of where we can help.
Discuss Your Security Needs