Core documentation for the secure architecture, comprehensive governance standards, and modern technology stack used across various high-integrity applications.
This repository publicly outlines the deep security methodologies and technical principles employed in my work. It assures sponsors and collaborators of a commitment to industry-leading standards for system integrity and data protection, leveraging expertise from IT fundamentals to advanced data forensics.
This section highlights the strategic and managerial principles that guide the architecture of all projects, reflecting expertise in Cybersecurity Management and Risk Governance.
| Domain | Strategy & Documentation Focus | Value to Projects |
|---|---|---|
| Comprehensive Risk Management | Holistic Threat Modeling: Documentation of methodologies used to assess and mitigate risks across all system layers (client, network, cloud, human). | Ensures proactive security planning and reduces systemic exposure. |
| Zero Trust Architecture | Authentication & Authorization Model: Design principles requiring explicit verification for all access, regardless of location (internal or external). | Minimizes insider threat and prevents unauthorized access to sensitive systems. |
| System Lifecycle Management | Vulnerability & Patch Policy: Standards for continuous monitoring, dependency scanning, and managing security debt throughout a project's entire lifecycle. | Maintains long-term system integrity and resilience against emerging threats. |
This publicly declares the proficiency in the foundational and specialized technologies used for developing secure, robust, and scalable applications.
- Development Core: React Native, TypeScript, and Python for robust, cross-platform application development and secure back-end processing.
- Data Integrity & Forensics: SQL expertise (including T-SQL/PL-SQL standards) for managing complex, relational data structures and ensuring forensic-grade data integrity and analysis.
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Infrastructure & Deployment: Virtualization, Networking fundamentals, and Containerization (Docker) for creating isolated, reproducible, and highly secure deployment environments (
$\text{CompTIA A+}$ and operational proficiency). - Digital Evidence Protection: Protocols for embedding cryptographic methods and secure mobile storage to protect sensitive data at the point of capture.
This addresses the critical security controls vital for any application that handles sensitive or high-integrity data.
- Advanced Encryption: Commitment to using AES-256 encryption for data at rest and TLS/SSL with perfect forward secrecy for data in transit.
- Application Security: Adherence to mandatory security checklists and code review principles based on guidelines like the OWASP Top 10 to prevent common vulnerabilities.
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Data Access Controls: Implementation of least-privilege principles and strong audit trails to manage and log all access to sensitive data stores (a key function of
$\text{MCSE}$ data governance).