Comprehensive cloud security documentation covering Zero Trust, multi-cloud hardening, AI/ML security, supply chain, and a 30-day FedRAMP implementation roadmap aligned to NIST CSF 2.0.
- Provides a structured documentation hub covering the full cloud security lifecycle across AWS, Azure, and Google Cloud Platform.
- Implements a Zero Trust architecture reference aligned to NIST SP 800-207 and NIST Cybersecurity Framework 2.0 with policy-as-code enforcement.
- Delivers a day-by-day 30-day FedRAMP Moderate implementation roadmap mapping 325+ NIST 800-53 controls to concrete AWS service configurations.
- Covers AI and ML security including LLM guardrails, prompt injection protection, model governance, and EU AI Act alignment.
- Addresses supply chain security with SBOM generation, software composition analysis, and SAST/DAST integration patterns.
- Supports compliance automation across GDPR, PCI-DSS v4.0, HIPAA, SOC 2, FedRAMP, and the EU AI Act through static analysis and continuous monitoring tooling.
┌──────────────────────────────────────────────────────────────────┐
│ Documentation Hub │
│ IMPLEMENTATION_GUIDE.md / _config.yml │
└──────────────────────┬───────────────────────────────────────────┘
│
┌────────────▼────────────┐
│ Security Domains │
└────────────┬────────────┘
│
┌───────────────────┼───────────────────────┐
│ │ │
▼ ▼ ▼
┌──────────┐ ┌─────────────┐ ┌───────────────────┐
│Zero Trust│ │ Multi-Cloud │ │ AI / ML Security │
│ NIST │ │ Hardening │ │ LLM Safety │
│ 800-207 │ │AWS│Azure│GCP│ │ Guardrails │
└──────────┘ └─────────────┘ └───────────────────┘
│ │ │
└───────────────────┼───────────────────────┘
│
┌───────────────────┼───────────────────────┐
│ │ │
▼ ▼ ▼
┌──────────────┐ ┌──────────────┐ ┌────────────────────┐
│Supply Chain │ │ Compliance │ │ Testing & Disaster │
│Security │ │ Automation │ │ Recovery │
│SBOM / SCA │ │FedRAMP/PCI/ │ │TESTING_GUIDE.md │
│ │ │GDPR/EU AI Act│ │DISASTER_RECOVERY.md │
└──────────────┘ └──────────────┘ └────────────────────┘
│
┌────────────▼────────────────┐
│ fedramp-30-days/ │
│ Day-by-day implementation │
│ control-checklist.md │
│ aws-services-reference.md │
└─────────────────────────────┘
Reference implementation of a Zero Trust architecture grounded in NIST SP 800-207 and the updated governance function introduced in NIST CSF 2.0.
- Identity-centric access with least-privilege enforcement across all cloud planes
- Micro-segmentation patterns for AWS VPC, Azure Virtual Network, and GCP VPC
- Continuous verification with session-level re-authentication policies
- Policy-as-code enforcement using HashiCorp Sentinel and Open Policy Agent (OPA)
- Network perimeter elimination patterns with east-west traffic inspection
- NIST CSF 2.0 Govern, Identify, Protect, Detect, Respond, and Recover function mapping
Unified security hardening patterns covering all three major cloud platforms with consistent control objectives.
| Platform | Identity | Network | Detection |
|---|---|---|---|
| AWS | IAM, Control Tower, Organizations | VPC, WAF, Shield | Security Hub, GuardDuty, Macie |
| Azure | Azure AD, Privileged Identity Mgmt | Azure Firewall, DDoS | Defender for Cloud, Sentinel |
| GCP | IAM, Organization Policy | Cloud Armor, VPC-SC | Security Command Center, Chronicle |
- Cloud-native application protection platform (CNAPP) integration with Prisma Cloud, Wiz, and Lacework
- Infrastructure as Code security scanning with Checkov and Bridgecrew
- Container security patterns for Kubernetes using Twistlock and Aqua Security
- Serverless security considerations for AWS Lambda, Azure Functions, and Cloud Run
Comprehensive guidance for securing AI workloads aligned to the EU AI Act and EO 14110.
- Prompt injection detection and mitigation patterns for LLM-backed applications
- Model input/output guardrails with audit logging for compliance evidence
- AI model supply chain controls including provenance tracking and integrity verification
- Bias detection integration and responsible AI governance checklists
- EU AI Act risk classification and technical documentation requirements
- Alignment with OMB M-24-10 federal AI governance guidance
Documentation and automation guidance mapped to the most common regulatory and contractual frameworks.
| Framework | Scope | Automation Approach |
|---|---|---|
| NIST CSF 2.0 | General cybersecurity posture | Control mapping in SECURITY_FRAMEWORK.md |
| FedRAMP Moderate | Federal cloud authorization | 30-day roadmap + 325-control checklist |
| GDPR | EU data protection | Data residency and privacy control patterns |
| PCI-DSS v4.0 | Payment card environments | Network segmentation and encryption guidance |
| HIPAA | Healthcare data | Covered entity and BA control requirements |
| SOC 2 | Trust services criteria | Availability, confidentiality, and security |
| EU AI Act | AI system risk management | Risk classification and documentation |
A reproducible, day-by-day path from a standard AWS environment to a FedRAMP Moderate-aligned posture, organized into four weeks.
- Week 1 (Days 1-7): Foundation and assessment — AWS Organizations, CloudTrail, Config, Security Hub, GuardDuty, KMS
- Week 2 (Days 8-14): Network hardening — VPC architecture, WAF, Secrets Manager, encryption at rest and in transit
- Week 3 (Days 15-21): Application security — container hardening, SBOM generation, SAST/DAST integration, API security
- Week 4 (Days 22-30): Documentation and ATO preparation — SSP drafting, POA&M, incident response plan, contingency plan, 3PAO engagement
fedramp-30-days/control-checklist.md: 325-control NIST 800-53 Moderate baseline checklist with implementation status columnsfedramp-30-days/aws-services-reference.md: 40+ FedRAMP-authorized AWS services with NIST 800-53 control mappings
- NIST SP 800-53 Rev 5 (Moderate baseline, 325 controls)
- NIST SP 800-207 Zero Trust Architecture
- NIST Cybersecurity Framework 2.0
- FedRAMP Moderate authorization requirements
- GDPR (General Data Protection Regulation)
- PCI-DSS v4.0 (Payment Card Industry Data Security Standard)
- HIPAA (Health Insurance Portability and Accountability Act)
- SOC 2 (Service Organization Control 2)
- EU AI Act risk classification requirements
- EO 14110 and OMB M-24-10 federal AI governance
- Git
- Ruby 3.x and Bundler (for local Jekyll site rendering)
- AWS CLI configured with appropriate credentials (for FedRAMP guide exercises)
- A modern browser for reading rendered documentation via GitHub Pages
Browse the documentation directly as Markdown files, or render the full site locally using Jekyll.
# Clone the repository
git clone https://github.com/dbsectrainer/cloud-security-best-practices.git
cd cloud-security-best-practices
# Install Jekyll dependencies
bundle install
# Serve the site locally
bundle exec jekyll serve
# Open in browser
open http://localhost:4000Recommended reading order for new users:
IMPLEMENTATION_GUIDE.md— technical architecture overview and tooling referenceSECURITY_FRAMEWORK.md— Zero Trust principles and access control patternsCOMPLIANCE.md— regulatory framework mappingsARCHITECTURE_AND_DIAGRAMS.md— system diagrams and network security layoutsfedramp-30-days/README.md— begin the day-by-day FedRAMP roadmap
Start the FedRAMP implementation roadmap directly:
# Open the day-by-day roadmap
open fedramp-30-days/README.md
# Review the 325-control checklist
open fedramp-30-days/control-checklist.md
# Consult the AWS service reference (40+ FedRAMP-authorized services)
open fedramp-30-days/aws-services-reference.mdDocumentation and roadmap content is complete and current as of 2026.
- Zero Trust architecture guidance aligned to NIST SP 800-207 and NIST CSF 2.0
- 30-day FedRAMP Moderate implementation roadmap with day-by-day tasks completed
- 325-control NIST 800-53 Moderate baseline checklist published in
fedramp-30-days/control-checklist.md - 40+ FedRAMP-authorized AWS services mapped to controls in
fedramp-30-days/aws-services-reference.md - Multi-cloud hardening guidance for AWS, Azure, and GCP completed
- AI/ML security framework covering LLM guardrails and EU AI Act alignment included
- Supply chain security guidance (SBOM, SCA, SAST/DAST) documented
- Compliance framework documentation covers GDPR, PCI-DSS v4.0, HIPAA, SOC 2, FedRAMP, and EU AI Act
- Jekyll site with navigation, layouts, and CSS assets ready for GitHub Pages deployment
- Graphviz-sourced diagrams (
.dot+.svg) for security framework, risk management, incident response, and disaster recovery
# Verify Jekyll site builds without errors
bundle exec jekyll build
# Expected: "Build complete" with no errors in _site/
# Verify all major documentation files are present
ls *.md fedramp-30-days/*.md
# Expected output includes:
# IMPLEMENTATION_GUIDE.md SECURITY_FRAMEWORK.md COMPLIANCE.md
# ARCHITECTURE_AND_DIAGRAMS.md TESTING_GUIDE.md INNOVATION.md
# RISK_MANAGEMENT.md INCIDENT_RESPONSE_PLAN.md DISASTER_RECOVERY.md
# fedramp-30-days/README.md fedramp-30-days/control-checklist.md
# fedramp-30-days/aws-services-reference.md
# Verify diagram source files
ls *.dot *.svg
# Expected: security_framework.dot risk_management.dot
# incident_response.dot disaster_recovery.dot
# (and corresponding .svg exports)cloud-security-best-practices/
├── README.md
├── IMPLEMENTATION_GUIDE.md # Technical architecture and tooling reference
├── SECURITY_FRAMEWORK.md # Zero Trust and access control patterns
├── COMPLIANCE.md # Regulatory framework mappings
├── ARCHITECTURE_AND_DIAGRAMS.md # System diagrams and network security
├── TESTING_GUIDE.md # Security testing and vulnerability assessment
├── INNOVATION.md # AI-powered detection and emerging security
├── RISK_MANAGEMENT.md # Risk management framework
├── INCIDENT_RESPONSE_PLAN.md # IR procedures and playbooks
├── DISASTER_RECOVERY.md # DR architecture and RTO/RPO targets
├── VENDOR_SECURITY_ASSESSMENT.md
├── SECURITY_TRAINING_GUIDE.md
├── Gemfile # Jekyll dependencies
├── Gemfile.lock
├── _config.yml # Jekyll site configuration
├── _includes/ # Jekyll partials (nav, hero, footer)
├── _layouts/ # Jekyll layout templates
│ └── default.html
├── assets/
│ └── css/
│ └── style.css
├── index.html # Jekyll site landing page
├── security_framework.dot # Graphviz source: security framework
├── security_framework.svg
├── risk_management.dot # Graphviz source: risk management
├── risk_management.svg
├── incident_response.dot # Graphviz source: incident response
├── incident_response.svg
├── disaster_recovery.dot # Graphviz source: disaster recovery
├── disaster_recovery.svg
└── fedramp-30-days/
├── README.md # Day-by-day 30-day FedRAMP roadmap
├── control-checklist.md # 325-control NIST 800-53 Moderate checklist
└── aws-services-reference.md # 40+ FedRAMP-authorized AWS services
This repository is part of a comprehensive federal IT capability portfolio demonstrating real federal system engineering for agency buyers and contracting officers.
| Showcase Project | Repository | Description |
|---|---|---|
| Secure RAG Pipeline | Secure-Generative-AI-Platform-on-AWS | AWS Bedrock + RAG with FedRAMP High alignment |
| DevSecOps CI/CD | dod-cybersec-ops-framework | DoD 8570 / NIST RMF aligned pipeline |
| Zero Trust Architecture | AEGIS | FedRAMP High + NIST 800-207 Zero Trust |
| FedRAMP Control Automation | nist_800_53_scanner | NIST 800-53 Rev 5 compliance scanner |
| Federal AI Governance | ai-safety-governance | EO 14110 / OMB M-24-10 aligned |
| CMMC 2.0 Dashboard | integrated-cyber-risk-compliance | CMMC 2.0 readiness assessment |
| FedRAMP 30-Day Guide | cloud-security-best-practices | This repo |
| Agentic AI Workflow | federal-doc-triage-agent | Production-ready LangGraph + Bedrock triage agent |
Donnivis Baker — github.com/dbsectrainer BE EASY ENTERPRISES — Federal IT Modernization & Cybersecurity
For questions, partnerships, or federal engagement inquiries, open an issue or reach out directly.
Document Version: 1.0 | Last Updated: 2026-06-15 | FedRAMP: Moderate