Masterclass Series
Architecture doctrine for governing and securing AI systems.
ABXK.AI publishes architecture doctrine explaining the frameworks required to govern and secure AI systems in production environments.
Applied AI Governance Doctrine
An architecture framework for governing AI systems in production environments.
Weak governance scales risk faster than model errors.
Covers:
- Governance architecture
- Evaluation discipline
- Stop and rollback criteria
- Responsibility design
Built for leaders accountable for AI initiatives in production.
The AI TrapApplied AI Security Architecture
An architecture framework for securing AI systems in production environments.
AI systems fail at their boundaries before they fail at their models.
Covers:
- Data exposure modeling
- Security boundary design
- Operational containment strategies
- Risk prioritization frameworks
Built for security teams and AI architects working with deployed systems.
AI SecurityAuthor
M.Sc. Computer Science · GICSP · GRID
Research and architecture doctrine focused on AI governance and AI security.