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HCE4665 Hardening AWS and GCP for Regulated Biotech Workloads

$199.00
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What is the Hardening AWS and GCP for Regulated course about?

Implementation-grade controls for fast-tracked cloud adoption in biotech Each order is checked and updated against the latest insights before delivery. That is why access takes up to 24 hours rather than being instant.

What situation is the Hardening AWS and GCP for Regulated for?

Biotech IT leaders face intense pressure to deploy cloud infrastructure quickly while ensuring it passes strict regulatory scrutiny. Yet most teams rebuild controls from scratch each time, leading to duplicated effort, version drift, and audit delays. The cost isn’t just time, it’s lost velocity in R&D and delayed project go-lives.

Who is the Hardening AWS and GCP for Regulated course for?

Senior IT and cloud architecture leaders in biotech and life sciences who own cloud security, compliance, and deployment velocity for regulated workloads.

What do you take away from the Hardening AWS and GCP for Regulated course?

Deploy AWS and GCP environments that are audit-ready from day one Reduce cloud hardening prep time from 80+ hours to under 10 Eliminate rework during regulatory or internal audit cycles Standardize controls across cloud projects with reusable configuration patterns Accelerate cloud project timelines without compromising compliance.

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.

What does the Hardening AWS and GCP for Regulated cover on delivery and format?

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 6-8 hours of focused study, plus optional implementation time using provided templates.

How does this compare to the alternatives?

Unlike generic cloud security courses, this program delivers biotech-specific controls, regulatory mappings, and artefact templates that reduce prep time by 90% compared to building from scratch.

What does the Hardening AWS and GCP for Regulated cover on frequently asked?

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

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

A tailored course, built for your situation

Hardening AWS and GCP for Regulated Biotech Workloads

Implementation-grade controls for fast-tracked cloud adoption in biotech

$199 one-time
30-day money-back guarantee Verified against latest insights, updated access provided within 24h

Each order is checked and updated against the latest insights before delivery. That is why access takes up to 24 hours rather than being instant.

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 80+ hours prepping cloud hardening docs for audit, only to face last-minute rework

The situation this course is for

Biotech IT leaders face intense pressure to deploy cloud infrastructure quickly while ensuring it passes strict regulatory scrutiny. Yet most teams rebuild controls from scratch each time, leading to duplicated effort, version drift, and audit delays. The cost isn’t just time, it’s lost velocity in R&D and delayed project go-lives.

Who this is for

Senior IT and cloud architecture leaders in biotech and life sciences who own cloud security, compliance, and deployment velocity for regulated workloads

Who this is not for

Junior cloud admins, non-regulated tech companies, or teams using Azure-only environments

What you walk away with

  • Deploy AWS and GCP environments that are audit-ready from day one
  • Reduce cloud hardening prep time from 80+ hours to under 10
  • Eliminate rework during regulatory or internal audit cycles
  • Standardize controls across cloud projects with reusable configuration patterns
  • Accelerate cloud project timelines without compromising compliance

The 12 modules (with all 144 chapters)

Module 1. Regulated biotech cloud landscape: Key compliance drivers and timelines
Understand the intersection of FDA, HIPAA, CLIA, and cloud infrastructure requirements shaping deployment urgency.
12 chapters in this module
  1. Mapping biotech R&D workflows to cloud compliance obligations
  2. Key differences between GxP and non-GxP cloud use cases
  3. How 21 CFR Part 11 impacts cloud configuration logging
  4. Recent guidance shifts from FDA on cloud validation
  5. CLIA lab data handling in multi-cloud environments
  6. HIPAA technical safeguards in AWS and GCP
  7. Common audit triggers in biotech cloud environments
  8. How enforcement posture has changed in the last 18 months
  9. Mapping internal QA cycles to external regulatory timelines
  10. Balancing speed of deployment with audit readiness
  11. Role of IT leadership in bridging R&D and compliance
  12. Defining 'audit-ready' for cloud environments in your org
Module 2. AWS foundational security: Identity and access control for regulated workloads
Implement least-privilege IAM patterns tailored to biotech compliance needs.
12 chapters in this module
  1. Designing AWS organizations for multi-project isolation
  2. Service control policies for lab data workloads
  3. IAM roles vs. users: Best practices for regulated environments
  4. Just-in-time access for developers and scientists
  5. Cross-account access patterns for CRO collaborations
  6. MFA enforcement across AWS accounts and roles
  7. Session tagging for audit trail completeness
  8. Automated IAM policy review and remediation
  9. Handling shared access in research environments
  10. Integrating AWS SSO with on-prem identity providers
  11. Principle of least privilege in action for bioinformatics
  12. Common IAM misconfigurations that fail audits
Module 3. GCP foundational security: Identity and access control for regulated workloads
Apply Google Cloud IAM with precision for biotech data stewardship.
12 chapters in this module
  1. Understanding GCP projects and folders for workload separation
  2. Custom IAM roles for lab data access scenarios
  3. Service accounts: Secure usage in regulated pipelines
  4. Workload identity federation for hybrid environments
  5. Access transparency logs and when to enable them
  6. Binding IAM to specific GKE clusters and BigQuery datasets
  7. Least privilege for bioinformatics compute jobs
  8. Automated detection of overly permissive policies
  9. Managing access for CROs and academic collaborators
  10. Audit readiness for GCP access decisions
  11. Best practices for key rotation in service accounts
  12. Integrating GCP IAM with enterprise SSO
Module 4. Network hardening: Segmentation and traffic control in AWS
Design VPC architectures that enforce data boundaries and support audit validation.
12 chapters in this module
  1. VPC design patterns for GxP vs. non-GxP workloads
  2. Subnet isolation for data classification levels
  3. Security group rules for lab instrument integration
  4. AWS Transit Gateway for multi-account connectivity
  5. PrivateLink usage for secure internal service exposure
  6. Flow log configuration for audit trail completeness
  7. DNS hardening with Route 53 Resolver DNS Firewall
  8. Blocking public internet access for sensitive workloads
  9. Monitoring for unexpected cross-VPC traffic
  10. Automated compliance checks for network configurations
  11. Handling hybrid connectivity to on-prem lab systems
  12. Documenting network architecture for auditor review
Module 5. Network hardening: Segmentation and traffic control in GCP
Implement VPC Service Controls and firewall rules to protect regulated biotech data.
12 chapters in this module
  1. VPC design for multi-tenant research environments
  2. Hierarchical firewall policies for consistent control
  3. VPC Service Controls to prevent data exfiltration
  4. Private Service Connect for secure internal APIs
  5. Cloud NAT configuration for outbound-only workloads
  6. Firewall rules for GKE clusters processing PHI
  7. Monitoring egress traffic for anomalies
  8. DNS filtering with Cloud Armor
  9. Securing hybrid connectivity to on-prem systems
  10. Logging and alerting for unexpected network events
  11. Automated drift detection for firewall rules
  12. Preparing network diagrams for audit submission
Module 6. Data protection: Encryption and key management in AWS
Apply KMS and S3 encryption strategies that meet biotech regulatory standards.
12 chapters in this module
  1. AWS KMS key policies for regulated workloads
  2. Customer managed keys vs. AWS managed keys
  3. S3 bucket encryption enforcement with bucket policies
  4. S3 Object Lock for WORM compliance in research data
  5. EBS volume encryption best practices
  6. RDS encryption at rest and in transit
  7. Key rotation policies that satisfy auditors
  8. Auditing key usage with CloudTrail and CloudWatch
  9. Cross-region replication with encryption integrity
  10. Handling key deletion and recovery scenarios
  11. Integrating KMS with on-prem HSMs
  12. Documenting encryption strategy for auditor review
Module 7. Data protection: Encryption and key management in GCP
Use Cloud KMS and CMEK effectively for biotech data compliance.
12 chapters in this module
  1. Cloud KMS key rings and keys for workload isolation
  2. Customer-supplied encryption keys (CSEK) use cases
  3. Customer-managed encryption keys (CMEK) for BigQuery
  4. Enforcing CMEK on GCS buckets with organization policies
  5. Disk encryption for Compute Engine VMs with CMEK
  6. Key rotation automation in Cloud KMS
  7. IAM controls for key management operations
  8. Auditing key access and usage patterns
  9. HSM integration with Cloud External Key Manager
  10. Data residency implications for key location
  11. Export controls and encryption key management
  12. Preparing encryption documentation for regulatory review
Module 8. Logging and monitoring: Building audit-ready trails in AWS
Configure CloudTrail, GuardDuty, and Config for continuous compliance evidence.
12 chapters in this module
  1. Multi-region CloudTrail aggregation for centralized logging
  2. CloudTrail log file validation and integrity checking
  3. GuardDuty findings triage for regulated environments
  4. AWS Config rules for compliance with biotech standards
  5. Automated remediation of non-compliant resources
  6. EventBridge rules for real-time alerting on critical changes
  7. Log retention policies that meet regulatory requirements
  8. Centralized logging with AWS Organizations and S3
  9. KMS key usage monitoring with CloudTrail
  10. Documenting log retention and access for auditors
  11. Simulating audit walkthroughs with log data
  12. Common logging gaps that fail regulatory review
Module 9. Logging and monitoring: Building audit-ready trails in GCP
Set up Cloud Audit Logs, Security Command Center, and sinks for compliance validation.
12 chapters in this module
  1. Understanding Admin Activity, Data Access, and System Event logs
  2. Configuring audit log sinks to secure Cloud Storage buckets
  3. Exclusions for high-volume logs without compromising coverage
  4. Security Command Center active and standard modes
  5. Finding prioritization for regulated environments
  6. Organizational policy constraints for logging
  7. Data Access logs for BigQuery and Cloud SQL
  8. Custom metrics and alerts for suspicious activity
  9. Log-based metrics for compliance reporting
  10. Retention policies for audit logs in different regions
  11. Exporting logs for third-party review
  12. Preparing monitoring setup for auditor walkthrough
Module 10. Compute hardening: Securing EC2 and Lambda for regulated workloads
Harden AWS compute services with configuration standards that pass audit scrutiny.
12 chapters in this module
  1. AMI selection and patching for GxP compliance
  2. EC2 instance role permissions best practices
  3. User data script security for automated setup
  4. SSH key management and bastion host patterns
  5. Lambda execution role scoping for least privilege
  6. Environment variable encryption with KMS
  7. Container security in ECS and ECR
  8. Fargate task definition hardening
  9. Runtime protection with AWS Systems Manager
  10. Automated compliance checks with AWS Config
  11. Snapshot and backup security for EC2 volumes
  12. Documenting compute configurations for auditor review
Module 11. Compute hardening: Securing GKE and Cloud Run for regulated workloads
Apply security policies and configurations to GCP compute platforms for compliance.
12 chapters in this module
  1. GKE master authorized networks and private clusters
  2. Binary authorization for trusted container deployment
  3. Workload identity for pod-level access control
  4. Pod security policies and admission controllers
  5. Node taints and tolerations for workload isolation
  6. Cloud Run IAM and security attributes
  7. Container scanning with Container Analysis
  8. Runtime protection with Security Command Center
  9. Automated policy enforcement with Anthos Config Management
  10. Backup and recovery for GKE clusters
  11. Hardening Cloud SQL instances for PHI workloads
  12. Documenting GKE and Cloud Run setup for regulatory review
Module 12. Validation and audit readiness: From deployment to compliance proof
Generate the artefacts and narratives that close audits quickly and confidently.
12 chapters in this module
  1. Building the cloud validation plan for FDA submissions
  2. Mapping controls to 21 CFR Part 11 and HIPAA
  3. Creating the system description document for auditors
  4. Evidence collection automation with AWS and GCP tools
  5. Version-controlled runbooks for reproducible environments
  6. Terraform state security and access control
  7. Change control processes for cloud infrastructure
  8. Preparing the cloud architecture diagram for review
  9. Conducting internal mock audits before external cycles
  10. Responding to auditor findings with evidence packages
  11. Maintaining continuous compliance between audits
  12. Handing off cloud environments to QA and validation teams

How this maps to your situation

  • Regulatory audit prep
  • Multi-cloud deployment
  • IT leadership decision-making
  • Compliance documentation

Before vs. after

Before
Spending 80+ hours assembling cloud hardening evidence for each audit cycle, rebuilding controls from scratch, facing rework and delays
After
Deploying audit-ready AWS and GCP environments in under 10 hours using repeatable, validated patterns

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 6-8 hours of focused study, plus optional implementation time using provided templates.

If nothing changes
Without a standardized approach, teams risk repeated audit findings, delayed project timelines, and increased operational burden due to rework and configuration drift.

How this compares to the alternatives

Unlike generic cloud security courses, this program delivers biotech-specific controls, regulatory mappings, and artefact templates that reduce prep time by 90% compared to building from scratch.

Frequently asked

Is this course focused on AWS, GCP, or both?
The course covers implementation-grade hardening for both AWS and GCP, with separate modules for platform-specific controls and integrated guidance for multi-cloud environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this include templates for audit evidence?
Yes, every module includes downloadable templates and worked examples, including system descriptions, control mappings, and configuration runbooks.
$199 one-time. Approximately 6-8 hours of focused study, plus optional implementation time using provided templates..

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
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