Sovereign AI infrastructure engineered to bridge the gap between Accounting and high-performance computing.
Implementation of Zero-Trust Networking where no AI inference nodes have public IP mappings, ensuring absolute internal sovereignty.
Fiscal Efficiency: Architecture designed to eliminate unnecessary NAT Gateway costs in development environments by leveraging VPC Endpoints for secure communication with AWS services.
This project follows the Hardened by Design™ framework, ensuring that AI workloads remain sovereign and cost-effective. By leveraging my background in Accounting, I've implemented:
- Audit-Ready Infrastructure: Every component is designed to be verifiable via automated scripts (see
scripts/network_audit.py). - Zero-Waste Networking: Minimalist network design to reduce AWS egress costs and NAT Gateway overhead.
- Asynchronous Excellence: Designed for high-performance, autonomous environments where documentation is the single source of truth.
- IaC: Pulumi (Python)
- Cloud: AWS (VPC, Subnets, IAM)
- Security: Zero-Trust Egress Control
- Governance: Automated Network Auditing
Below is the successful stack trace of the Ghost Protocol infrastructure being provisioned in 24 seconds.
Running the automated audit suite to verify Zero-Trust compliance.
