A tailored course, built for your situation
Mastering ISO 27017 for Cloud Data Engineers on AWS
Build defensible compliance architecture with source-backed design patterns and real implementation logic
The situation this course is for
Engineers pass controls but lose credibility when asked to explain why a specific encryption boundary or access logging pattern was chosen. Without documented reasoning, teams default to rework or over-engineering.
Who this is for
Cloud-focused data engineer implementing secure pipelines on AWS with exposure to compliance requirements
Who this is not for
This is not for auditors, consultants, or managers building checklists. It’s for engineers who own the implementation and must defend it.
What you walk away with
- Articulate the exact rationale behind each control implementation using ISO 27017 clause references and AWS implementation patterns
- Reference real engineering trade-offs (e.g., KMS key rotation vs. performance) when challenged
- Align AWS-native controls with ISO 27017 requirements without overcomplicating the stack
- Respond to peer reviews with specific examples from prior audits and documented exceptions
- Build internal credibility as the go-to engineer who can explain, not just implement
The 12 modules (with all 144 chapters)
- What ISO 27017 adds beyond ISO 27001 for cloud environments
- Overview of cloud service provider vs customer responsibility
- How AWS Shared Responsibility Model maps to ISO 27017 clauses
- Key differences between public cloud and on-premises compliance
- Common misconceptions about cloud security certifications
- Why data engineers now own compliance implementation depth
- Mapping ISO 27017 controls to AWS services like S3, KMS, and CloudTrail
- How ISO 27017 supports multi-cloud strategies
- The role of encryption boundaries in compliance design
- Documenting control ownership across teams
- Version control for compliance implementation decisions
- How to track changes to cloud infrastructure with auditability
- Writing cloud-specific information security policies
- How to scope policy to AWS account structures
- Documenting exceptions with justification and expiry
- Integrating cloud policies into existing compliance frameworks
- Using policy versioning to show evolution
- Ensuring policies are accessible to engineering teams
- Connecting policy statements to actual IAM configurations
- Auditing policy adherence through automated checks
- Handling policy conflicts between teams
- Incorporating feedback from incident post-mortems
- Storing policies in version-controlled repositories
- Proving policy awareness during audits
- Defining what counts as an asset in AWS environments
- Automating asset discovery using AWS Config and Lambda
- Tagging standards for compliance tracking
- Mapping assets to data classification levels
- Handling serverless components in inventory
- Dynamic updates to asset lists as infrastructure changes
- Linking assets to ownership and accountability
- Using asset lists for risk assessment inputs
- Exporting inventory for auditor requests
- Validating inventory completeness through cross-service checks
- Managing asset lifecycle from provisioning to decommissioning
- Documenting temporary assets and ephemeral workloads
- Defining acceptable use for AWS accounts and regions
- Detecting shadow IT deployments with CloudTrail analysis
- Implementing guardrails using AWS Service Control Policies
- Educating developers on policy boundaries
- Logging and alerting on policy violations
- Handling edge cases like research spikes and POCs
- Balancing innovation with compliance constraints
- Auditing use patterns over time
- Enforcing time-bound access for temporary workloads
- Documenting exceptions for emergency use
- Integrating acceptable use with identity management
- Reporting use violations to compliance leads
- Applying least privilege to IAM roles and policies
- Using AWS Organizations for centralized control
- Implementing role-based access at service level
- Managing cross-account access securely
- Auditing access changes with CloudTrail
- Justifying elevated access during incidents
- Time-bound access using temporary credentials
- Segregation of duties in automation pipelines
- Avoiding over-provisioning with policy simulators
- Documenting access design for auditors
- Handling service accounts and machine identities
- Reviewing access grants quarterly with stakeholders
- Integrating corporate identity with AWS IAM Identity Center
- Automating user onboarding and offboarding
- Federating identities using SAML 2.0
- Managing multi-factor authentication enforcement
- Using groups and permission sets effectively
- Auditing identity changes over time
- Handling break-glass accounts securely
- Rotating identity keys and certificates
- Linking identity events to SIEM tools
- Documenting identity design decisions
- Testing identity failover scenarios
- Proving identity compliance during audits
- Enabling CloudTrail across all regions
- Capturing management and data events
- Storing logs in immutable S3 buckets
- Using CloudWatch for real-time alerting
- Setting up metric filters for suspicious activity
- Automating log review with Lambda
- Retention policies aligned with regulations
- Encrypting logs at rest and in transit
- Cross-referencing logs during investigations
- Demonstrating log integrity to auditors
- Handling log volume from serverless workloads
- Validating log completeness with checksums
- Using AWS Inspector for continuous scanning
- Integrating vulnerability data with CI/CD
- Prioritizing findings by exploitability and exposure
- Automating patching workflows
- Handling false positives in cloud contexts
- Documenting risk acceptance decisions
- Tracking vulnerabilities across environments
- Benchmarking findings against industry baselines
- Coordinating fixes across teams
- Reporting remediation progress to compliance leads
- Using vulnerability data to improve design
- Proving continuous improvement in audits
- Defining secure baselines for AWS services
- Using AWS Config rules to enforce compliance
- Integrating security checks into CI/CD pipelines
- Automating drift detection and remediation
- Documenting configuration exceptions
- Applying CIS Benchmarks to AWS workloads
- Creating custom compliance rules for unique systems
- Reporting configuration status to stakeholders
- Handling legacy systems with insecure defaults
- Using drift reports as audit evidence
- Reviewing configurations quarterly
- Linking configuration controls to data sensitivity
- Using VPCs and subnets for network isolation
- Encrypting data at rest with customer-managed keys
- Implementing S3 bucket policies for data access
- Enforcing data residency using AWS Regions
- Auditing data access across tenants
- Documenting segregation design for auditors
- Handling shared services securely
- Using AWS RAM for controlled resource sharing
- Monitoring cross-VPC traffic with VPC Flow Logs
- Proving segregation during security reviews
- Designing for multi-cloud data boundaries
- Updating segregation policies as architecture evolves
- Choosing between AWS-managed and customer-managed keys
- Using envelope encryption for large datasets
- Controlling key access with IAM policies
- Auditing key usage with CloudTrail
- Rotating keys according to policy
- Handling key deletion and recovery
- Storing keys in AWS CloudHSM for high assurance
- Integrating KMS with application code
- Documenting encryption zones in architecture diagrams
- Proving key separation to auditors
- Managing keys across regions and accounts
- Testing key failover and recovery
- Scheduling regular control assessments
- Using automated tools for evidence collection
- Conducting peer reviews of control implementation
- Documenting review findings and action items
- Tracking remediation to closure
- Presenting evidence to internal auditors
- Using third-party assessments for validation
- Benchmarking controls against industry peers
- Improving controls based on review feedback
- Training junior engineers on review process
- Maintaining independence in review roles
- Archiving review records for future audits
How this maps to your situation
- When peers question encryption boundary design
- During auditor follow-up on access logging
- Before signing off on a new cloud service integration
- When documenting compliance rationale for leadership
Before vs. after
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 90 minutes per module, designed for completion over a weekend or in focused evening sessions.
How this compares to the alternatives
Unlike generic compliance courses, this focuses exclusively on real implementation logic for cloud engineers on AWS, with verbatim ISO 27017 control mapping and no abstract frameworks.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.