Cloud Security
Conceptual overview of principles and measures to protect cloud infrastructures, data and services.
Classification
- ComplexityHigh
- Impact areaOrganizational
- Decision typeArchitectural
- Organizational maturityIntermediate
Technical context
Principles & goals
Use cases & scenarios
Compromises
- Misconfigurations of storage, networks or IAM lead to data exposure
- Unclear responsibilities delay response and forensics
- Insufficient monitoring allows persistent attacks
- Shift-left security: integrate security checks early in CI/CD
- Automated compliance checks and policy-as-code
- Centralized logging and role-based alerting strategies
I/O & resources
- Inventory of assets, workloads and data classification
- Permissions and role model for identities
- Network design and configuration standards
- Security policies, baselines and automation rules
- Monitoring and alerting workflows
- Auditable evidence preservation and compliance reports
Description
Cloud security comprises concepts, processes and technical controls to protect data, identities, platforms and workloads in cloud environments. It covers the shared responsibility model, access control, network and configuration hardening, and monitoring. The goal is to ensure confidentiality, integrity and availability of applications and services running in the cloud.
✔Benefits
- Improved confidentiality and integrity of cloud data
- Better risk reduction through standardized hardening and automation
- Meeting regulatory and compliance requirements in cloud operations
✖Limitations
- Portions of responsibility remain with the cloud provider (shared responsibility)
- Complexity increases with multi-cloud and multi-tenant setups
- Standardization may require adjustments in specialized use cases
Trade-offs
Metrics
- MTTD (Mean Time to Detect)
Average time to detect a security incident.
- Percentage of compliant workloads
Share of workloads that meet security baseline and policies.
- Number of critical misconfigurations
Count of detected high-severity configuration errors per time period.
Examples & implementations
SaaS provider with tenant-isolated architecture
Tenant isolation combining IAM policies and network segments with monitoring to reduce risk.
Financial services firm migrates core banking to the cloud
Highest compliance and encryption requirements, dedicated network separation and auditing.
Startup automates secrets management and CI/CD hardening
Integration of secret store, pipeline scans and role-based access rules reduces attack surface.
Implementation steps
Assess: inventory, risk classification, prioritization
Design: define security baseline, IAM and network architecture
Implement: introduce automated policies, monitoring and remediation
Operate: establish continuous monitoring, testing and improvements
⚠️ Technical debt & bottlenecks
Technical debt
- Outdated IAM roles and excessive permissions
- Legacy scripts for configuration management without tests
- Manual onboarding processes for cloud accounts
Known bottlenecks
Misuse examples
- Storing sensitive data in public buckets without encryption
- Unrotated full-access keys in CI/CD pipelines
- No separation of test and production accounts
Typical traps
- Unclear shared-responsibility boundaries lead to gaps
- Relying on manual audits instead of continuous monitoring
- Missing asset inventory makes prioritization impossible
Required skills
Architectural drivers
Constraints
- • Cloud provider shared-responsibility boundaries
- • Limited visibility in managed services
- • Budget and staffing constraints for security measures