Classic Penetration Test
annual window · manual effort
- Point-in-time view, not a trend
- Hard to reproduce between audits
- Findings go stale between tests

RedMind is a research and development initiative by GermanAI Defense. The goal: make security testing more repeatable and continuous, as a complement to classic Penetration Tests. Pilot and research partnerships welcome.
One audit a year, and 11 months of flying blind in between. RedMind closes this gap without replacing the classic pentest.
annual window · manual effort
repeatable · isolated · automated
RedMind complements, not replaces, classic pentests. The focus is on repeatability, path logic, and traceable reporting.
Repeatable security testing instead of one-off snapshots. Same scope, comparable results over time.
Vulnerabilities are viewed in context, across identities, configurations, web/API, and network.
Tests run in controlled lab environments that mirror production-like systems, with no impact on production.
Concrete actions for engineering, traceable risk classification for decision-makers. From one run.
RedMind is built in two sequential phases, with a clear focus on pilot maturity before scale-up.
Pilot version for AI-orchestrated, repeatable security validation. Focused on Network & Active Directory and Web/API.
Building an isolated research and lab environment for attack patterns, detection engineering, and security research.
An AI-powered decision logic models possible attack paths, evaluates intermediate results, and prioritizes risks in context.
Defined scope, isolated test environment, clear rules.
AI-powered modeling of potential attack paths across identities, configurations, and interfaces.
Tests run repeatably in an isolated environment. Intermediate results are evaluated and prioritized.
Technical findings with actions, management reports with traceable classification.
RedMind is built with clear security, governance, and compliance requirements. Five pillars that aren’t negotiable.
A clear definition of which systems, services, and identities are included in validation.
Tests run in controlled lab environments that can mirror production-like systems.
Every step is logged and traceable in reporting, for engineering and management alike.
Clear separation between operations, research, and auditing, with documentable permissions.
Aligned with ISO 27001, NIS 2, and the EU AI Act, coordinated with our GRC service area.
We’re happy to talk about pilot setups, research partnerships, or first use-case assessments, aligned with the current development stage.