
Explore advanced cybersecurity solution architecture topics, including zero trust, infrastructure as code, and DevSecOps, while reviewing 101 principles like the CIA triad and threat modeling across multi-cloud and container environments.
Apply advanced threat modeling frameworks like stride, pasta, and mortar attack to multi-cloud, containerized environments, mapping kill chains and maintaining iterative security as architectures evolve.
Explore zero trust architecture, its four principles—no implicit trust, continuous verification, micro-segmentation, and adaptive access—and how to implement identity-centric, policy-driven controls across multi-cloud environments.
Learn how infrastructure as code (IaC) enables automated security checks in ci/cd pipelines, catching misconfigurations before deployment and enabling drift detection and continuous compliance.
Explore DevSecOps principles, secure coding, and security tooling across CI/CD, container and cloud native ecosystems; learn threat modeling, SAST/DAST, SCA, policy as code, and supply chain integrity.
Explore advanced identity and access management (IAM) concepts like RBAC, ABAC, PBAC, PAM, and federation to design zero-trust, policy-driven security across multi-cloud environments.
Architect data protection strategies that embed privacy by design and default, covering data classification, encryption, tokenization, and key management, to meet GDPR, CcpA, and other regulations.
Secure multi-cloud and hybrid deployments by integrating AWS, Azure, and GCP security services with consistent policies, robust logging, continuous compliance, and zero-trust principles to meet enterprise audit demands.
Design and operate a modern security operations center with threat hunting, threat intelligence, and automation, comparing in-house and MDR options to strengthen detection, response, and architecture.
Master programmatic GRC that weaves governance, risk, and compliance into technology decisions. Apply scenario-based risk modeling, metrics, and policy as code to align security with business goals.
Advance incident response and digital forensics with extended playbooks, tabletop exercises, and forensic techniques spanning disk, memory, and network artifacts, including AI threat scenarios and lessons learned.
Translate enterprise security into disciplined, scalable programs using reference architectures, blueprint as code, zero trust, and mature DevSecOps pipelines, illustrated by global case studies.
wrap up cybersecurity solution architecture 201 by cementing threat modeling, zero trust, and security as code, and prep for the 301 leadership track with a 90-day, 12-week plan.
Turn threat scenarios into observable behaviors using detection engineering, validated telemetry, and escalation criteria, and connect architecture, threat intelligence, and hunting to improve detections.
Modern security architecture becomes difficult when identity, cloud, applications, data, software delivery, AI, suppliers, and operations all intersect within the same business service.
Cybersecurity Solution Architecture 201: Applied Cloud, Identity, Software, Data, and AI Design moves beyond foundational concepts and into practical, integrated architecture work.
You will learn how to turn broad security objectives into measurable requirements, architecture decisions, implementation controls, transition plans, acceptance tests, and operating evidence.
The course focuses on the real challenge facing cybersecurity architects: designing security across connected systems where individually strong controls can still fail when trust, ownership, data, or responsibility changes between teams and technologies.
You will explore applied architecture across:
• Security requirements and architecture decisions
• Threat modeling, abuse cases, and attack paths
• Zero Trust architecture and policy enforcement
• Enterprise identity and non-human identity
• Secure access, segmentation, and cloud edge architecture
• Cloud landing zones and hybrid security guardrails
• Containers, Kubernetes, serverless, and workload identity
• Secure applications and APIs
• DevSecOps, Infrastructure as Code, and software supply chains
• Data protection and privacy engineering
• Generative AI and agentic application security
• Risk-based exposure management and security validation
• Detection engineering, threat intelligence, and threat hunting
• Incident readiness, forensics, recovery, and resilience
• Continuous compliance, controls, and evidence
• OT, IoT, and cyber-physical architecture
• Third-party architecture and supplier risk
Throughout the course, you will continue working with the HarborPoint enterprise case study and follow architecture decisions across complete transactions, trust boundaries, platforms, operating teams, and suppliers.
You will learn to build context and data-flow models, write measurable requirements, analyze credible threats, compare design options, document trade-offs, assign control ownership, and define the evidence needed to demonstrate that a design works in practice.
By the end of the course, you will have a repeatable method for developing architecture that engineers can build, operators can support, security teams can validate, and risk owners can evaluate.
This course is ideal for cybersecurity professionals, security engineers, cloud and application security practitioners, consultants, and architects who already understand security fundamentals and want to develop stronger practical architecture skills.
Cybersecurity Solution Architecture 201 builds on the foundations established in Course 101 and prepares you for enterprise-scale architecture, portfolio governance, investment, and leadership in Course 301.