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SEC0395 Mastering CIS Controls for Cloud and Data Engineering Consultants

$199.00
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A tailored course, built for your situation

Mastering CIS Controls for Cloud and Data Engineering Consultants

A structured path to full command of cybersecurity framework implementation in complex data environments

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Spending too much time translating generic controls into working cloud data configurations?

The situation this course is for

Most engineers apply CIS Controls reactively, leading to configuration drift, audit rework, and misaligned hardening efforts across cloud layers.

Who this is for

Senior cloud and data engineers who implement security frameworks in production environments but lack structured, executable guidance for CIS Controls

Who this is not for

Individuals seeking certification prep or entry-level cybersecurity training

What you walk away with

  • Map CIS Controls directly to cloud infrastructure configurations (AWS, GCP, Azure)
  • Automate control validation across data engineering pipelines
  • Produce audit-ready configuration reports with framework traceability
  • Respond confidently to security review findings with documented control alignment
  • Design hardened data platforms using CIS benchmark patterns

The 12 modules (with all 144 chapters)

Module 1. Introduction to CIS Controls in Cloud Environments
Establish foundational knowledge of the CIS Controls framework with emphasis on cloud-specific application and data layer relevance.
12 chapters in this module
  1. What are the CIS Controls
  2. Structure of CIS Controls v8
  3. Control groups overview
  4. Relevance to cloud data engineering
  5. Mapping to NIST CSF
  6. Relationship to ISO 27001
  7. Benchmarking maturity levels
  8. Common implementation pitfalls
  9. Cloud provider alignment
  10. Data-centric control focus
  11. Framework evolution trends
  12. Getting started with assessment
Module 2. Inventory and Asset Management for Data Platforms
Master Control 1 by tracking and securing data infrastructure components across environments.
12 chapters in this module
  1. Asset inventory requirements
  2. Cloud resource tagging standards
  3. Automated discovery tools
  4. Data store classification
  5. Orphaned resource identification
  6. CMDB integration
  7. Cloud configuration baselines
  8. Virtual machine tracking
  9. Container inventory methods
  10. Serverless function logging
  11. Third-party SaaS inventory
  12. Data pipeline component mapping
Module 3. Secure Configuration of Cloud Infrastructure
Implement Control 2 with hardened settings across cloud platforms and data systems.
12 chapters in this module
  1. Cloud image hardening
  2. Instance configuration templates
  3. Secure boot settings
  4. Encryption defaults
  5. Management interface lockdown
  6. OS baseline standards
  7. Data engine configuration
  8. Firewall rule standardization
  9. Cloud storage settings
  10. Database engine settings
  11. Secrets management integration
  12. Configuration drift detection
Module 4. Continuous Vulnerability Management
Apply Control 7 to identify, prioritize, and remediate vulnerabilities in data infrastructure.
12 chapters in this module
  1. Vulnerability scanning frequency
  2. Cloud-native scanner tools
  3. Patch management cadence
  4. Criticality scoring methods
  5. Automated ticketing workflows
  6. Zero-day response planning
  7. Cloud workload patching
  8. Container image scanning
  9. Data platform dependencies
  10. Third-party library auditing
  11. Reporting remediation status
  12. Integration with CI/CD
Module 5. Controlled Use of Administrative Privileges
Implement Control 4 to secure access across cloud and data engineering systems.
12 chapters in this module
  1. Privileged account inventory
  2. Just-in-time access design
  3. Multi-factor enforcement
  4. Break-glass account policies
  5. Session monitoring setup
  6. Privilege revocation triggers
  7. Role-based access control
  8. Data platform admin roles
  9. Cloud console access logs
  10. Emergency access workflow
  11. Access review automation
  12. Credential rotation policies
Module 6. Secure Authentication and Identity Management
Enforce Control 8 using robust identity practices across cloud and data platforms.
12 chapters in this module
  1. Single sign-on implementation
  2. Conditional access policies
  3. Identity provider integration
  4. Service account best practices
  5. Federation setup
  6. API key management
  7. Short-lived credential use
  8. Identity lifecycle management
  9. Cloud IAM roles
  10. Data platform access controls
  11. Privileged identity monitoring
  12. Identity audit trail retention
Module 7. Email and Web Browser Defense Configuration
Apply Control 9 to protect endpoints accessing cloud data systems.
12 chapters in this module
  1. Browser security settings
  2. Email filtering standards
  3. Link scanning protocols
  4. Phishing simulation setup
  5. DNS filtering services
  6. Certificate validation enforcement
  7. Web proxy configuration
  8. Endpoint detection for browsing
  9. Tab isolation policies
  10. Extension control management
  11. Safe search enforcement
  12. User training integration
Module 8. Malware Defense and Endpoint Protection
Implement Control 10 with cloud-aware endpoint security solutions.
12 chapters in this module
  1. Endpoint detection tools
  2. Cloud workload protection
  3. Antivirus configuration
  4. Behavioral monitoring setup
  5. Ransomware response plan
  6. Quarantine workflows
  7. Threat intelligence feeds
  8. Automated malware analysis
  9. Data pipeline scanning
  10. Container threat detection
  11. Log integration with SIEM
  12. Incident alert thresholds
Module 9. Data Protection and Encryption Management
Execute Control 13 to secure data at rest and in transit across systems.
12 chapters in this module
  1. Data classification schema
  2. Encryption key inventory
  3. TLS enforcement policies
  4. At-rest encryption standards
  5. Cloud KMS integration
  6. Database encryption setup
  7. Data masking patterns
  8. Tokenization implementation
  9. Data loss prevention rules
  10. Backup encryption methods
  11. Access logging for sensitive data
  12. Data export controls
Module 10. Boundary Defense and Network Security
Deploy Control 12 to secure network perimeters and segmentation in cloud environments.
12 chapters in this module
  1. Firewall rule standardization
  2. Microsegmentation design
  3. Network access control
  4. DDoS protection setup
  5. Cloud network security groups
  6. VPC configuration standards
  7. Transit gateway rules
  8. DNS security protocols
  9. Traffic inspection points
  10. Ingress egress filtering
  11. Secure remote access
  12. Zero trust network principles
Module 11. Incident Response Planning and Drills
Build Control 18 capabilities with actionable incident response in data environments.
12 chapters in this module
  1. Incident playbooks creation
  2. Data breach response steps
  3. Cloud logging setup
  4. Forensic data preservation
  5. Notification workflows
  6. Containment procedures
  7. Tabletop exercise design
  8. Post-mortem process
  9. Legal hold coordination
  10. Regulator communication
  11. Data pipeline rollback
  12. Stakeholder messaging
Module 12. Measurement and Metrics for Continuous Improvement
Use Control 18 to track and improve CIS Controls implementation over time.
12 chapters in this module
  1. Control effectiveness metrics
  2. Automated compliance scoring
  3. Dashboard creation
  4. Executive reporting templates
  5. Gap tracking methods
  6. Remediation velocity metrics
  7. Audit readiness scoring
  8. Configuration drift alerts
  9. Framework maturity assessment
  10. Third-party audit alignment
  11. Continuous monitoring setup
  12. Annual review planning

How this maps to your situation

  • New cloud migration requiring CIS Controls alignment
  • Audit preparation with framework traceability needs
  • Data platform hardening initiative
  • Post-compromise security review

Before vs. after

Before
Spending extra hours translating broad controls into cloud-specific configurations with no standardized approach
After
Implementing CIS Controls efficiently across data platforms with reusable templates and clear mapping

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 3 hours per module, designed for engineers to apply concepts directly to current projects

If nothing changes
Continuing with ad-hoc control implementation increases audit exposure, configuration drift, and rework cycles across cloud data environments

How this compares to the alternatives

Unlike generic compliance courses, this delivers cloud-specific, executable guidance for CIS Controls with real-world data engineering examples and automation patterns

Frequently asked

Is this course focused on certification exam prep?
No. This course is designed for practitioners implementing the CIS Controls in production environments, not exam preparation.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to AWS, Azure, and GCP environments?
Yes. The course includes implementation patterns specific to all three major cloud providers with configuration examples.
$199 one-time. Approximately 3 hours per module, designed for engineers to apply concepts directly to current projects.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours