A tailored course, built for your situation
Mastering ISO 27001; A Step-by-Step Guide to Data Governance in Fintech
Build authority in security frameworks while strengthening data decisions at scale.
Who this is for
Senior data practitioner influencing security and compliance outcomes through technical decisions, vendor assessments, and cross-functional collaboration.
Who this is not for
Individuals seeking entry-level compliance training or general cybersecurity awareness.
What you walk away with
- Lead security framework discussions with confidence grounded in ISO 27001 control logic
- Produce documentation that aligns data architecture with compliance requirements
- Shape vendor selection criteria with explicit reference to control mappings
- Anticipate auditor questions and prepare evidence proactively
- Guide peer teams on compliant data handling without slowing innovation
The 12 modules (with all 144 chapters)
- Defining information security in the context of data workflows
- How ISO 27001 applies to non-traditional IT environments
- Mapping data assets to information security categories
- Identifying custodianship across distributed teams
- Compliance expectations for cloud-hosted data systems
- Integrating data classification with ISMS scope
- Common misalignments between data teams and auditors
- Role of data practitioners in security policy input
- How fintech regulation influences ISO 27001 interpretation
- Documenting data lifecycle stages for audit readiness
- Leveraging data lineage for control evidence
- Establishing baseline expectations for security alignment
- Identifying critical data processing activities
- Exclusion rationale for non-covered systems
- Boundary definition between data and application layers
- Incorporating third-party data processors in scope
- Using data flow diagrams as scoping tools
- Documenting network and logical perimeters
- Maintaining scope documentation over time
- Handling dynamic scope changes due to new pipelines
- Aligning with cloud infrastructure boundaries
- Engaging legal and risk for cross-border data flows
- Scoping multi-region data storage setups
- Justifying exclusions without weakening posture
- Adapting risk registers for data pipeline risks
- Threat modeling for ETL and ELT processes
- Assessing impact of data corruption or loss
- Evaluating access control effectiveness in data layers
- Prioritizing risks from data sharing across teams
- Incorporating pipeline automation into risk scoring
- Using historical incident data to inform likelihood
- Aligning data risk appetite with broader org policy
- Handling AI/ML model training data risks
- Vendor data access and downstream risk transfer
- Risk treatment paths for high-severity findings
- Documenting residual risk acceptance decisions
- Mapping A.8.1 to data inventory and classification
- Applying A.9.1 to database access management
- Configuring A.12.4 controls in pipeline monitoring
- Implementing A.13.1 for data transfer security
- Embedding A.14.1 into data platform development
- Enforcing A.16.1 for incident handling in data jobs
- Applying A.18.1 to compliance documentation
- Mapping A.5.21 to third-party data vendor oversight
- Using A.6.2 for secure data handling training
- Aligning A.7.3 to contractor access in data projects
- Documenting control implementation for auditors
- Maintaining versioned control mapping documentation
- Designing tiered data sensitivity levels
- Defining handling rules per classification level
- Automating classification through metadata tagging
- Integrating classification with access controls
- Training teams on data handling expectations
- Auditing compliance with classification policy
- Updating policies based on new data types
- Handling PII and regulated data classifications
- Classifying AI training data sets
- Vendor data handling compliance verification
- Documenting exceptions and justifications
- Review cycles for classification scheme updates
- Assessing vendor security posture for data access
- Incorporating ISO 27001 certification in vendor selection
- Defining data processing agreements for compliance
- Monitoring vendor adherence to agreed controls
- Auditing third-party data pipelines annually
- Managing sub-processor risk in data chains
- Establishing breach notification expectations
- Handling data deletion and return obligations
- Evaluating cloud provider compliance evidence
- Vendor risk scoring with audit trail support
- Termination clauses for non-compliance
- Maintaining centralized vendor oversight logs
- Identifying required evidence per control
- Using logs to prove access control enforcement
- Documenting change management for data jobs
- Capturing screenshots of classification workflows
- Maintaining records of vendor assessments
- Generating access review reports systematically
- Storing evidence in version-controlled repositories
- Aligning log retention with policy settings
- Demonstrating incident response readiness
- Preparing evidence packs for internal audits
- Formatting evidence for external auditor review
- Automating evidence collection where possible
- Defining data breach triggers and thresholds
- Activating response teams for data incidents
- Containment strategies for live data pipelines
- Forensic data preservation techniques
- Legal reporting obligations for data breaches
- Customer notification protocols when needed
- Root cause analysis for pipeline failures
- Updating controls based on incident learnings
- Testing incident playbooks with simulations
- Coordinating with PR and legal teams
- Documenting response timelines for auditors
- Archiving response records for compliance
- Scheduling audits for data-specific controls
- Developing checklists for data team reviews
- Using automated scans for configuration drift
- Validating access revocation for offboarded staff
- Testing backup and recovery for data stores
- Reviewing logging coverage completeness
- Measuring control effectiveness over time
- Reporting findings to governance committees
- Tracking remediation for open issues
- Benchmarking against industry control maturity
- Integrating findings into sprint backlogs
- Maintaining audit trail for all review actions
- Creating role-based security training modules
- Onboarding materials for new data hires
- Interactive scenarios for data handling decisions
- Communicating policy updates effectively
- Tracking completion across distributed teams
- Assessing knowledge retention with quizzes
- Incorporating compliance into team rituals
- Highlighting real examples from past audits
- Sharing anonymized breach learnings
- Connecting training to access provisioning
- Updating content quarterly or after incidents
- Documenting awareness program for auditors
- Preparing quarterly compliance dashboards
- Reporting on key control performance metrics
- Presenting findings from internal audits
- Tracking progress on risk treatment plans
- Proposing updates to security policies
- Aligning data security with business goals
- Incorporating feedback from peer teams
- Benchmarking against prior review cycles
- Documenting strategic direction changes
- Updating ISMS based on data evolution
- Maintaining review minutes and action logs
- Demonstrating continual improvement
- Scheduling pre-audit readiness checks
- Validating scope and statement of applicability
- Assembling auditor evidence packets
- Conducting mock interviews for data staff
- Reviewing control implementation completeness
- Addressing gaps identified in mock audits
- Coordinating cross-team audit responses
- Preparing for auditor walkthroughs
- Responding to auditor findings clearly
- Tracking corrective actions to closure
- Celebrating successful certification milestones
- Planning for surveillance audit readiness
How this maps to your situation
- Data classification in multi-team environments
- Third-party data processor oversight
- Audit evidence readiness for distributed systems
- Incident response coordination across data teams
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: 90 minutes per week over six weeks, with modular access for just-in-time learning.
How this compares to the alternatives
Unlike generic compliance courses, this program focuses exclusively on data practitioners' touchpoints with ISO 27001, providing actionable artifacts and real-world mappings used by leading fintech teams.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.