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Data Security in Cloud Migration

Data Security in Cloud Migration

$298.00
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Course access is prepared after purchase and delivered via email
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Toolkit Included:
Includes a practical, ready-to-use toolkit containing implementation templates, worksheets, checklists, and decision-support materials used to accelerate real-world application and reduce setup time.
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What does the Data Security in Cloud Migration course cover?

Data Security in Cloud Migration is covered here in 9 modules: Assessing Data Classification and Regulatory Exposure, Designing Secure Cloud Network Architecture, Identity and Access Management Governance and 6 more. The outline lists 72 specific topics, opening with define data categories (PII, PHI, financial, internal) based on jurisdiction-specific regulations such as GDPR, HIPAA, and CCPA.

How do you approach Data Security in Cloud Migration step by step?

The work is sequenced in 9 stages. It starts with Assessing Data Classification and Regulatory Exposure, moves through Designing Secure Cloud Network Architecture and Identity and Access Management Governance, and ends at Continuous Compliance and Security Posture Management. Each stage carries its own topic list, so the sequence is followed rather than summarised.

What is in Module 1 of the Data Security in Cloud Migration course?

Module 1 is Assessing Data Classification and Regulatory Exposure. It works through define data categories (PII, PHI, financial, internal) based on jurisdiction-specific regulations such as GDPR, HIPAA, and CCPA., conduct data discovery across on-premises systems to identify unstructured data stores containing regulated content., map data residency requirements to cloud region availability in AWS, Azure, and GCP. and 5 more.

How is the Data Security in Cloud Migration course delivered?

The Data Security in Cloud Migration course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.

How much does the Data Security in Cloud Migration course cost?

The Data Security in Cloud Migration course is $296 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Cloud Security in Cloud Migration, Secure Data Migration in Cloud Migration, Security Outcome in Cloud Migration, Network Security in Cloud Migration.

More answers: what you get with every course, refund policy, all help answers.

This curriculum spans the equivalent of a multi-workshop technical advisory engagement, covering the design, migration, and operational governance of cloud environments with the same rigor as an internal cloud security enablement program in a regulated enterprise.

Module 1: Assessing Data Classification and Regulatory Exposure

  • Define data categories (PII, PHI, financial, internal) based on jurisdiction-specific regulations such as GDPR, HIPAA, and CCPA.
  • Conduct data discovery across on-premises systems to identify unstructured data stores containing regulated content.
  • Map data residency requirements to cloud region availability in AWS, Azure, and GCP.
  • Establish ownership and stewardship roles for each data class to enforce accountability.
  • Implement automated tagging policies in cloud environments to maintain classification metadata.
  • Document data flow diagrams to support compliance audits and third-party assessments.
  • Integrate classification tools with DLP systems to prevent unauthorized movement of sensitive data.
  • Review contractual obligations with customers and partners regarding data handling in hybrid environments.

Module 2: Designing Secure Cloud Network Architecture

  • Architect VPCs/VNets with segmentation using private subnets, firewalls, and micro-segmentation policies.
  • Implement DNS filtering and private DNS zones to prevent data exfiltration via DNS tunneling.
  • Configure secure hybrid connectivity using IPsec VPNs or Direct Connect/Azure ExpressRoute with encryption in transit.
  • Enforce egress filtering through cloud-native firewall services or third-party virtual appliances.
  • Design hub-and-spoke or mesh topologies based on data access patterns and compliance boundaries.
  • Apply network security groups and application security policies with least-privilege principles.
  • Integrate network logging with SIEM for real-time anomaly detection on traffic flows.
  • Validate network configurations using infrastructure-as-code scanning tools pre-deployment.

Module 3: Identity and Access Management Governance

  • Implement centralized identity federation using SAML or OIDC with on-premises Active Directory or cloud identity providers.
  • Define role-based access control (RBAC) policies aligned with job functions and separation of duties.
  • Enforce multi-factor authentication (MFA) for all administrative and privileged accounts.
  • Rotate and audit service account credentials using automated secret management systems.
  • Apply just-in-time (JIT) access for elevated privileges with time-bound approvals.
  • Monitor for anomalous login behavior using UEBA integrated with identity platforms.
  • Conduct quarterly access reviews to deprovision orphaned or excessive permissions.
  • Integrate IAM policies with CI/CD pipelines to prevent hardcoded credentials in deployments.

Module 4: Encryption Strategy and Key Management

  • Select encryption at rest options (server-side, client-side, envelope encryption) based on data sensitivity.
  • Deploy customer-managed keys (CMKs) in AWS KMS, Azure Key Vault, or GCP Cloud KMS with strict access controls.
  • Define key rotation policies aligned with regulatory requirements and threat models.
  • Implement client-side encryption for data before upload to untrusted cloud storage.
  • Integrate HSM-backed key storage for workloads requiring FIPS 140-2 Level 3 compliance.
  • Configure TLS 1.2+ with approved cipher suites for data in transit across APIs and services.
  • Enforce encryption policies via infrastructure-as-code templates and policy-as-code engines.
  • Document key recovery and escrow procedures for disaster recovery scenarios.

Module 5: Data Loss Prevention and Monitoring

  • Deploy cloud-native DLP tools (e.g., Google Cloud DLP, Microsoft Purview) to scan structured and unstructured data.
  • Configure detection rules for regulated data patterns (credit card numbers, SSNs, passport numbers).
  • Set up automated redaction or masking for sensitive data in non-production environments.
  • Integrate DLP alerts with SOAR platforms for incident response playbooks.
  • Monitor shadow IT by identifying unauthorized SaaS applications transferring corporate data.
  • Apply contextual policies that adjust DLP actions based on user role, location, and device posture.
  • Log all data access and movement events for forensic investigations and audit trails.
  • Test DLP efficacy through controlled data exfiltration simulations.

Module 6: Secure Migration Execution and Data Transfer

  • Encrypt data archives prior to transfer using client-side tools like AWS DataSync or Azure MARS.
  • Validate data integrity post-migration using cryptographic checksums and reconciliation reports.
  • Isolate migrated data in quarantine environments for security scanning before production access.
  • Implement bandwidth throttling and transfer scheduling to avoid network saturation.
  • Use dedicated physical appliances (e.g., AWS Snowball, Azure Data Box) for large-scale transfers with air-gapped security.
  • Enforce access controls on staging environments to prevent premature data exposure.
  • Coordinate cutover timing with business units to minimize data synchronization risks.
  • Conduct pre-migration vulnerability scans on source systems to prevent carrying over exposures.

Module 7: Cloud Storage and Database Security Configuration

  • Disable public read/write access on cloud storage buckets and enforce block public access policies.
  • Enable versioning and object lock for immutable backups and ransomware protection.
  • Apply database encryption (TDE) and restrict access through private endpoints or VPC peering.
  • Implement dynamic data masking for non-administrative database queries.
  • Configure audit logging for all database queries and storage access events.
  • Use storage lifecycle policies to automatically transition data to lower-risk, encrypted tiers.
  • Scan for misconfigured storage policies using CSPM tools on a continuous basis.
  • Enforce retention and deletion schedules aligned with data governance policies.

Module 8: Incident Response and Forensics in Cloud Environments

  • Define cloud-specific incident playbooks for data breaches, account compromise, and ransomware.
  • Preserve cloud logs in immutable storage with legal hold capabilities during investigations.
  • Establish cross-account roles for centralized security team access during incidents.
  • Collect volatile memory and disk snapshots using cloud-native forensic tools.
  • Coordinate with cloud provider CSIRT for log access and threat intelligence sharing.
  • Reconstruct attack timelines using CloudTrail, Azure Activity Logs, or GCP Audit Logs.
  • Validate chain of custody for digital evidence in hybrid cloud investigations.
  • Conduct post-incident reviews to update controls and prevent recurrence.

Module 9: Continuous Compliance and Security Posture Management

  • Deploy CSPM tools to continuously assess configurations against CIS Benchmarks and ISO 27001.
  • Automate compliance reporting for audits using policy-as-code frameworks like Open Policy Agent.
  • Integrate security findings into ticketing systems for remediation tracking.
  • Conduct penetration testing with provider-approved scopes and rules of engagement.
  • Perform quarterly configuration drift analysis between production and golden templates.
  • Update security baselines in response to new cloud service features or threat intelligence.
  • Enforce security controls through CI/CD pipeline gates using pre-deployment scanning.
  • Establish metrics for mean time to detect (MTTD) and mean time to respond (MTTR) for cloud incidents.
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