AI Security & Platform Governance | Secure control planes, cloud/Kubernetes security | DevSecOps , and adversarial abuse defense
I build secure control planes for AI-enabled infrastructure: policy gateways, audit trails, cloud/Kubernetes security, and adversarial abuse defense.
- Published: AI Security & Platform Governance -- reference architecture for policy gateways, agent threat modeling, and production AI operations
- Currently building: Commerce Abuse Defense -- ML-based anomaly detection for bot scoring and WAF rule generation
- Contributing to: PentAGI -- contributor, not owner. Selected merged PRs across OAuth hardening, runtime reliability, Docker Compose health checks, and broad test coverage for core packages
- Contributing to: Trivy (33.8K+ stars) -- container and IaC vulnerability scanner, test coverage contributions
- Contributing to: Strix (21.1K+ stars) -- AI pentesting agents, reconnaissance skill docs and bug triage
| Project | Description | Stack |
|---|---|---|
| Commerce Abuse Defense | Bot abuse detection and scoring tool with WAF rule generation. 6 detection rules, weighted scoring (0-100), auto-generates Cloudflare and AWS WAF rules. v0.2.1, 60 tests, CI. | Python, Shopify, Cloudflare, AWS WAF |
| K8s Security Baseline | CIS Benchmark v1.8.0 audit automation with RBAC templates, network policies, and SOC 2 control mapping. | Bash, Python, Kubernetes |
| AWS WAF Security Framework | Production Terraform WAF modules for eCommerce. Bot Control, IP Reputation, Rate Limiting, Geo Blocking. Reduced bot traffic from 30%+ to under 3%. | Terraform, AWS WAF, CloudWatch |
Published attack chain analyses documenting real-world eCommerce attack patterns:
- 001: Hidden Product Card-Testing on Shopify -- How attackers discover $0 products via API enumeration and use them for card validation. MITRE ATT&CK T1595, T1190.
- 002: App-Layer Bot Defense Bypass Patterns -- Why client-side bot mitigation is necessary but insufficient. 5 bypass techniques, multi-layer defense architecture.
Reference architecture for AI policy gateways, agent threat models, and production AI operations is published as a public-safe portfolio repository. The three core documents:
- Generic AI Policy Gateway Architecture -- a control-plane design that secures AI assistants and agents with deterministic policy checks, redaction, and audit logging.
- Agent Security Threat Model -- six categories of risk for AI agents that act on tools, files, browsers, APIs, and infrastructure, with concrete control responses for each.
- AI Production Operations Playbook -- service health, fallback patterns, incident runbooks, and governance metrics for AI systems.
Repository: github.com/mason5052/ai-security-platform-governance
Active contributor to security-focused open-source projects. Listed as a contributor in PentAGI v1.2.0 release.
| Project | Stars | Contributions | Stack |
|---|---|---|---|
| PentAGI | 15K+ | Contributor, not owner. Selected merged PRs include OAuth hardening (#120, #125, #127), runtime and reliability fixes (#150, #151, #152, #178, #179), CA private key cleanup (#168), Docker Compose health checks (#243), and test coverage across search tools, config, terminal, providers, graph/server context, schema validation, Langfuse, and Graphiti (#153, #170-#172, #189, #199-#202, #213-#214, #230-#244). | Go, TypeScript, GraphQL |
| Trivy | 33.8K+ | Container and IaC vulnerability scanner, test coverage contributions | Go |
| Strix | 21.1K+ | Reconnaissance skill docs, Discord badge fix, Windows compatibility, bug triage | Python, Docker, LLM |
| Certification | Issuer | Valid |
|---|---|---|
| Certified Ethical Hacker (CEH) | EC-Council | 2025-2028 |
| Terraform Associate (004) | HashiCorp | Current |
| CASE Java (Application Security) | EC-Council | 2024-2027 |
| Degree | Institution | Status |
|---|---|---|
| MS Cybersecurity | Georgia Institute of Technology | Expected 2026 |
