A tailored course, built for your situation
Mastering Cloud-Native Security Implementation with Aqua
A 12-module implementation-grade course for advancing Aqua Security practices in enterprise environments
The situation this course is for
Teams often struggle to move beyond basic deployment into full lifecycle integration, tying image assurance, network policies, and compliance into DevOps workflows without slowing delivery. Misconfigurations and policy drift remain common, especially at scale.
Who this is for
Technology and security professionals implementing or scaling Aqua Security in production environments, platform engineers, DevSecOps leads, cloud security architects, and compliance officers in mid-to-large organizations.
Who this is not for
This course is not for beginners evaluating container security or those only using Aqua in dev/test environments without production rollout plans.
What you walk away with
- Design and deploy Aqua policies aligned with zero-trust and least privilege principles
- Integrate Aqua image scanning and SBOM generation into CI/CD pipelines
- Automate compliance reporting for CIS, NIST, and internal audit requirements
- Implement runtime protection and behavioral controls at scale
- Optimize Aqua deployment across multi-cluster, multi-cloud Kubernetes environments
The 12 modules (with all 144 chapters)
- Understanding the shared responsibility model in cloud-native
- Aqua’s architecture: control plane and data plane components
- Deployment models: on-prem, cloud, hybrid, air-gapped
- Integrating Aqua with identity providers and RBAC
- Setting up centralized logging and monitoring
- Managing cluster visibility and asset inventory
- Understanding image trust and supply chain integrity
- Overview of compliance frameworks in container environments
- Threat modeling for containerized workloads
- Defining security guardrails in development pipelines
- Introduction to policy-as-code concepts
- Establishing baselines for secure configurations
- Static analysis of container images for vulnerabilities
- Configuring severity thresholds and policy gates
- Scanning multi-stage and builder images effectively
- Integrating image scanning into CI pipelines
- Using Aqua Trivy integration for open source scanning
- Generating SBOMs and attestation reports
- Signing images with Aqua Signer and Cosign
- Verifying image provenance in runtime enforcement
- Managing private registry integrations
- Handling false positives and vulnerability exceptions
- Policy enforcement for unsigned or unscanned images
- Auditing image promotion across environments
- Understanding runtime threats in container environments
- Deploying lightweight enforcement agents
- Monitoring process execution and file system activity
- Creating baseline behavior profiles for workloads
- Detecting anomalous command sequences
- Blocking malicious payloads and reverse shells
- Enabling host-level protection for worker nodes
- Securing serverless and FaaS workloads with Aqua
- Applying zero-trust principles to service communication
- Using file integrity monitoring (FIM) in containers
- Managing exceptions and tuning detection sensitivity
- Integrating runtime alerts with SIEM and SOAR platforms
- Understanding Kubernetes network policies and limitations
- Extending network controls with Aqua MicroEnforcer
- Visualizing service communication flows
- Automating policy generation from observed traffic
- Enforcing least privilege network segmentation
- Securing ingress and egress traffic at the pod level
- Integrating with CNI plugins and service meshes
- Protecting east-west traffic in multi-tenant clusters
- Handling DNS-based service discovery securely
- Mitigating lateral movement risks
- Auditing network policy changes and drift
- Scaling network policies across clusters
- Integrating Aqua with Jenkins, GitLab CI, and GitHub Actions
- Using Aqua CLI and APIs for pipeline automation
- Failing builds based on vulnerability thresholds
- Providing developer-friendly feedback on security issues
- Enabling self-service policy management for teams
- Creating reusable security policy templates
- Securing pipeline agents and runners
- Managing secrets and credentials in CI environments
- Scanning infrastructure-as-code templates alongside images
- Reporting security metrics to engineering leadership
- Reducing time-to-fix through automated triage
- Driving accountability with ownership tagging
- Mapping Aqua policies to CIS Kubernetes Benchmark
- Aligning with NIST SP 800-190 and NSA guidance
- Creating custom compliance controls for internal standards
- Automating audit evidence collection
- Generating compliance reports for stakeholders
- Managing policy inheritance and overrides
- Versioning and testing policy changes
- Enforcing FIPS and cryptographic standards
- Supporting GDPR, HIPAA, and PCI-DSS requirements
- Integrating with GRC platforms
- Handling configuration drift detection
- Scheduling recurring compliance assessments
- Architecting for multi-cluster visibility
- Deploying Aqua Console in federated mode
- Managing agents across cloud providers
- Handling network connectivity and latency
- Standardizing policies across environments
- Isolating tenant workloads in shared clusters
- Enforcing regional compliance differences
- Centralized monitoring and alerting
- Disaster recovery and high availability planning
- Managing upgrades across versions and clusters
- Optimizing resource usage and cost
- Auditing cross-environment access and changes
- Detecting hardcoded secrets in images and pods
- Integrating with HashiCorp Vault and AWS Secrets Manager
- Injecting secrets securely at runtime
- Preventing secret leakage via logs and APIs
- Managing service account permissions in Kubernetes
- Enforcing least privilege for pod identities
- Auditing secret access patterns
- Rotating credentials automatically
- Securing Kubernetes secrets object usage
- Detecting token theft and misuse
- Using short-lived identities and JWT validation
- Integrating with cloud IAM roles
- Ingesting external threat feeds into Aqua
- Mapping ATT&CK techniques to container threats
- Detecting cryptojacking and mining activity
- Identifying C2 beaconing from compromised containers
- Correlating runtime events with known IoCs
- Using YARA rules for malware detection in containers
- Analyzing attacker TTPs in cloud-native environments
- Hunting for stealthy persistence mechanisms
- Detecting container breakout attempts
- Responding to supply chain compromise indicators
- Benchmarking detection coverage with purple teaming
- Tuning detection rules for operational environments
- Triggering incident workflows from Aqua alerts
- Preserving container and host state for forensics
- Collecting logs, memory dumps, and network captures
- Reconstructing attack timelines
- Quarantining compromised workloads
- Automating response actions via webhooks
- Integrating with SOAR platforms like Splunk Phantom
- Conducting root cause analysis
- Reporting findings to legal and compliance teams
- Managing communication during incidents
- Improving detection based on post-mortems
- Building runbooks for common container incidents
- Right-sizing Aqua Console and database resources
- Tuning agent resource consumption
- Managing large-scale image scanning efficiently
- Reducing scan duplication across registries
- Caching and indexing strategies
- Optimizing policy evaluation performance
- Handling high-cardinality workloads
- Monitoring Aqua system health
- Scaling backend components for growth
- Reducing false positives through machine learning
- Streamlining alert triage and routing
- Maintaining system documentation and knowledge sharing
- Evaluating Aqua’s roadmap against organizational needs
- Preparing for SBOM and software attestation mandates
- Adopting Sigstore and in-toto for supply chain integrity
- Integrating with Open Policy Agent and Kyverno
- Supporting confidential computing and encrypted workloads
- Architecting for zero-touch security enforcement
- Measuring security program maturity
- Building executive dashboards for cloud security
- Developing internal training and enablement programs
- Engaging with Aqua support and community resources
- Planning for regulatory evolution
- Driving innovation through security-led design
How this maps to your situation
- Implementing Aqua in a growing Kubernetes environment
- Scaling Aqua across multiple teams and clusters
- Meeting compliance requirements in regulated industries
- Improving detection and response for cloud-native threats
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 45, 60 hours of self-paced learning, designed for implementation over 8, 10 weeks with team rollout.
How this compares to the alternatives
Unlike vendor documentation or generic Kubernetes security courses, this program provides implementation-grade workflows, real-world templates, and compliance alignment specific to Aqua’s capabilities in production environments.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.