SECUREPATH
Security
This page documents my security thinking and implementation: architecture, API/cloud controls, and evidence-backed labs.
This section is being built out
I’m actively adding diagrams, controls, and lab evidence here. The structure below is intentionally set up so it’s easy to expand as I complete more labs and projects.
How I think about protecting systems
A quick scan of my trust boundaries, top risks, core controls, and where evidence will live as this portfolio grows.
Trust Boundaries
Where trust changes and controls must be enforced.
- User / device → application entry (identity + session controls)
- UI → API boundary (authz, validation, rate limits)
- API → data boundary (least privilege, encryption, auditing)
- Admin / privileged access (MFA, conditional access, approvals)
- Third-party integrations (tokens, webhooks, scoped permissions)
Top Risks
The most common failure modes I design against.
- Over-permissioned IAM roles and service accounts
- Broken authorization / IDOR in APIs
- Token leakage (logs, browser storage, CI/CD secrets)
- Misconfigurations (public buckets, open security groups, weak defaults)
- Insufficient logging for forensics and incident response
Core Controls
The controls I prioritize for real-world coverage.
- Identity-first: MFA + least privilege + scoped roles
- Segmentation and firewall rules (trust boundary enforcement)
- Secure API patterns: validation, authz checks, rate limiting
- Centralized logging + alerting (actionable signals, not noise)
- Patch and vulnerability workflow (scan → fix → verify)
Evidence & Artifacts
Proof that controls were implemented and verified.
- Lab reports with screenshots and rationale (what/why/result)
- Configs: firewall rules, hardening changes, logging settings
- Scan results + remediation notes (before/after)
- Writeups mapped to frameworks (MITRE ATT&CK / CIS Controls)
- Architecture notes: assumptions, scope, non-goals, risks
Security Architecture
How I design security: trust boundaries, least privilege, segmentation, and control mapping (what the control is, where it lives, and how it’s verified).
API Security
Practical API protections: authentication/authorization patterns, token handling, input validation, rate limits, and monitoring signals that actually matter.
Cloud Security
Cloud IAM, least privilege, guardrails, and detection. Focus on preventing misconfigurations and enforcing secure defaults.
Labs & Evidence
This is where screenshots, configs, and writeups live — the “proof” behind the claims. Evidence-first documentation is what makes a portfolio defensible.
What’s coming next
These upgrades will make this page feel like a living security design doc.
- Architecture diagram (trust boundaries + data flows)
- Threat model summary (top risks + mitigations)
- Evidence badges (links to lab reports, screenshots, configs)
- Security controls library (what/where/how verified)
- Case studies mapped to frameworks (MITRE ATT&CK, CIS Controls)