A tailored course, built for your situation
Advanced Cloud Native Security: Beyond the Basics with Aqua
A 12-module implementation-grade course for professionals deepening their Aqua Security expertise
The situation this course is for
Teams often hit a wall when moving from initial deployment to enterprise-wide rollout. Gaps emerge in policy consistency, image assurance, and integration with CI/CD and incident response. Without a structured approach, even experienced practitioners struggle to standardize and scale.
Who this is for
Business and technology professionals with foundational Aqua Security experience aiming to lead advanced deployment, policy design, and cross-team integration.
Who this is not for
This course is not for beginners evaluating container security or those seeking introductory product overviews.
What you walk away with
- Design and enforce least-privilege runtime policies at scale
- Integrate Aqua into CI/CD pipelines for automated image assurance
- Map Aqua controls to compliance frameworks like CIS, NIST, and SOC 2
- Troubleshoot and optimize sensor deployment across hybrid environments
- Lead cross-functional rollouts with engineering, DevOps, and compliance teams
The 12 modules (with all 144 chapters)
- Understanding the shared responsibility model in container environments
- Mapping Aqua components to cloud native stack layers
- Principles of zero-trust in containerized workloads
- Policy-as-code: from concept to enforcement
- Role-based access control design in Aqua
- Sensor deployment patterns: sidecar vs. daemonset
- Integrating Aqua with identity providers
- Audit logging and event routing best practices
- Evaluating enforcement modes: monitor vs. block
- Scaling management across clusters and namespaces
- Multi-tenancy considerations in enterprise deployments
- Version alignment and lifecycle management
- Static analysis of container images: vulnerabilities and configurations
- SBOM generation and consumption within Aqua
- Integrating Aqua scanning into CI pipelines
- Policy rules for base image compliance
- Handling open source license risks
- Admission control with OPA and Aqua custom rules
- Signing and verification with Notary and Cosign
- Immutable tags and registry integration
- Scan tuning: reducing false positives
- Multi-stage build security considerations
- Dependency tree analysis for indirect risks
- Automated quarantine and remediation workflows
- Understanding process whitelisting and baselining
- File integrity monitoring in container workloads
- Network microsegmentation with Aqua policies
- Detecting shell injection and reverse shells
- Privilege escalation detection and blocking
- Monitoring for crypto-mining and exfiltration patterns
- Tuning runtime policies for production stability
- Handling ephemeral containers and short-lived processes
- Runtime signals and integration with SIEM
- Correlating runtime events with image provenance
- Incident response playbooks triggered by Aqua alerts
- Forensic data collection from compromised workloads
- Securing kubelet, API server, and control plane interactions
- Pod security policies and PSP alternatives
- Enforcing network policies with CNI integration
- Monitoring for risky Helm chart deployments
- Detecting misconfigured service accounts
- Preventing hostPath and privileged container abuse
- Securing ingress and egress traffic with service mesh
- Validating admission controllers and webhook integration
- Multi-cluster policy management with Aqua
- Cluster compliance posture assessment
- Drift detection in Kubernetes configurations
- Automated remediation of Kubernetes misconfigurations
- Securing Jenkins pipelines with Aqua scanning
- Integrating Aqua into GitLab CI workflows
- GitHub Actions for automated vulnerability checks
- Pull request gating based on Aqua scan results
- Artifact promotion gates using policy outcomes
- Scan result visualization in pipeline dashboards
- Handling developer feedback loops securely
- Parallel scanning for large monorepos
- Credential management in CI environments
- Secrets detection with Aqua and third-party tools
- Performance impact mitigation in CI
- Audit trails for pipeline security decisions
- Mapping Aqua controls to CIS Kubernetes Benchmark
- Aligning with NIST 800-190 guidelines
- SOC 2 compliance through continuous monitoring
- Generating audit-ready compliance reports
- Custom compliance frameworks in Aqua
- Automated evidence collection workflows
- Integrating with GRC platforms
- Compliance dashboards for leadership review
- Evidence retention and chain of custody
- Third-party auditor collaboration strategies
- Regulatory updates and control adaptation
- Continuous compliance for dynamic environments
- Integrating MITRE ATT&CK for Containers into Aqua
- Mapping known adversary tactics to Aqua rules
- Simulating container escapes and privilege escalation
- Using Kube-bench and other testing tools
- Red teaming cloud native environments safely
- Detecting lateral movement in pod networks
- Analyzing post-exploitation behaviors
- Creating custom detection rules from threat feeds
- Benchmarking detection coverage
- Threat hunting with Aqua logs and events
- Incident validation using controlled attacks
- Improving detection fidelity over time
- Unified policy management across AWS, Azure, GCP
- Sensor compatibility with different CNI plugins
- Cross-cloud identity federation with Aqua
- Data residency and encryption considerations
- Centralized observability from distributed clusters
- Failover and disaster recovery for Aqua Console
- Latency optimization in global deployments
- Bandwidth usage and log aggregation strategies
- Compliance variation across cloud providers
- Cost-aware security enforcement
- Edge computing security with lightweight sensors
- Air-gapped environment support
- Security model differences in FaaS environments
- Scanning function packages pre-deployment
- Runtime monitoring for AWS Lambda, Azure Functions
- Context-aware policies for event-driven architectures
- Dependency scanning in function code
- Environment variable and secret protection
- Function cold start security implications
- API gateway integration for request validation
- Event source validation and filtering
- Logging and tracing for forensic readiness
- Least privilege execution roles
- Scaling security controls with function concurrency
- Forwarding Aqua events to Splunk and ELK
- Integrating with Datadog and New Relic
- Prometheus metrics exposure from Aqua
- Creating custom dashboards in Grafana
- Alert routing to PagerDuty and Opsgenie
- Correlating security events with performance anomalies
- Log enrichment with Aqua metadata
- Incident triage workflows with Jira integration
- Automated playbooks in SOAR platforms
- Event filtering and noise reduction techniques
- Retention policies for security telemetry
- Cross-tool ownership and collaboration models
- Dynamic policy generation based on labels and annotations
- Using metadata from CI/CD for policy decisions
- Time-based policy enforcement windows
- Automated policy recommendations from Aqua
- Version-controlled policy repositories
- Policy testing in staging environments
- Drift detection and auto-remediation
- Policy inheritance and hierarchy models
- Custom rule creation with Rego
- Policy performance benchmarking
- User behavior analytics for policy refinement
- Feedback loops from runtime to development
- Stakeholder alignment: security, DevOps, platform teams
- Phased rollout strategies: pilot to production
- Change management for security enforcement
- Developer enablement through self-service
- Training and documentation strategies
- Measuring security program maturity
- KPIs for cloud native security effectiveness
- Budgeting and resource planning
- Vendor management and support engagement
- Lessons from multi-year Aqua deployments
- Building internal centers of excellence
- Future-proofing with extensible architecture
How this maps to your situation
- You're leading a cloud native security initiative
- You're expanding Aqua beyond initial deployment
- You're integrating security into CI/CD and DevOps
- You're responsible for compliance in dynamic environments
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 60, 75 hours total, designed for steady progress alongside professional responsibilities.
How this compares to the alternatives
Unlike generic cloud security courses, this program is implementation-grade, focused exclusively on maximizing Aqua Security in real-world environments with ready-to-use templates and playbooks.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.