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Ghost Audit: Critical Security Reflection

Standardized security audits are often based on known patterns and static checklists. However, these methods rarely capture the systemic, often invisible weaknesses of complex AI systems – especially where filter logic, training data, interaction structures, and semantic distortions converge.

The Ghost Audit is an in-depth, technical investigation aimed at making precisely these hidden risk levels visible. It analyzes not only architecture and interfaces but also potential emergent effects, unexpected filter resonances, and semantic misclassifications.

Methodology

The analysis begins on a documented, passive level. Upon request – and contractually agreed – targeted tests are additionally conducted at the API, behavioral, and interaction logic levels. The goal is to identify security vulnerabilities not covered by classic audits.

All investigations are conducted under strict confidentiality. Disclosure of specific findings to third parties is excluded. NDAs are a matter of course.

Focus Areas of the Ghost Audit
Technical Background

The methodology is based on the research published in "Ghosts in the Machine," supplemented by many years of practical experience in the low-level and system areas (including C++, Assembler, QBasic, analysis tools). The analyses conducted are entirely manual and are not delegated to automated processes.

Target Audience

The Ghost Audit is aimed at development teams, architects, and security officers who want to go beyond mere compliance. It does not offer a standardized assessment but rather an individual system reflection at the level of code, behavior, and structure.

If you are interested in an independent, analytical review of your system, please feel free to contact me for a confidential initial consultation: Email Contact

The goal is not to replace classic security procedures, but to supplement them where they become blind.