Cybersecurity Solution Architecture 201 (2026)

Name: Cybersecurity Solution Architecture 201 (2026)
Rating: 4.2 (131 reviews)

Design and validate integrated security architectures across cloud, identity, APIs, data, and AI.

Created bySerge Movsesyan | CISSP / CCSP

Last updated 10/2026

English

English [Auto],Spanish [Auto],

What you'll learn

Translate security objectives into measurable requirements, architecture decisions, and acceptance criteria.
Model service context, data flows, dependencies, and trust boundaries across connected systems.
Analyze threats, abuse cases, attack paths, and failure scenarios to guide design choices.
Design Zero Trust access, segmentation, identity, and workload authorization controls.
Evaluate security architectures for hybrid cloud, Kubernetes, containers, and serverless environments.
Integrate application, API, DevSecOps, Infrastructure as Code, and software supply-chain safeguards.
Apply data protection, privacy, and security controls to generative AI and agentic applications.
Define monitoring, detection, incident readiness, recovery, and resilience requirements.
Assign control ownership and evidence requirements across teams, suppliers, and shared services.
Compare design options and develop transition plans that engineers can implement and security teams can validate.

Course content

1 section • 26 lectures • 9h 10m total length

Legal Disclaimer0:25
Module 01 - Course Introduction- Applied Architecture in Practice22:44
Discover how Course 201 turns security principles into integrated designs, measurable decisions, and testable recommendations through the expanded HarborPoint enterprise case study.
Module 02 - Security Requirements and Architecture Decisions22:16
Translate business needs into measurable requirements, compare design options, define acceptance evidence, and document decisions, assumptions, exceptions, and residual risk.
Module 03 - Threat Modeling, Abuse Cases, and Attack Paths22:10
Apply STRIDE, PASTA, and MITRE ATT&CK to model threats, develop misuse scenarios, evaluate attack paths, and prioritize risks using business consequences.
Module 04 - Zero Trust Architecture in Practice22:59
Connect policy decisions, enforcement, identity, device signals, workload permissions, and telemetry to design Zero Trust access and plan migration from legacy approaches.
Module 05 - Enterprise Identity and Non-Human Identity24:04
Design identity across organizations, users, privileged accounts, and workloads, addressing federation, governance, temporary access, credential lifecycles, mergers, and partnerships.
Module 06 - Secure Access, Segmentation, and the Cloud Edge23:26
Evaluate segmentation, ZTNA, SASE, SSE, outbound controls, and remote access while defining required connections, shared responsibilities, and evidence of effective enforcement.
Module 07 - Cloud Landing Zones and Hybrid Guardrails23:38
Design cloud foundations that connect account structures, administrative boundaries, networking, policy, logging, keys, and workload onboarding with clear platform and consumer responsibilities.
Module 08 - Containers, Kubernetes, Serverless, and Service Identity24:02
Examine image integrity, cluster authority, tenancy, admission controls, runtime behavior, service authorization, secrets, and event processing across cloud-native workload lifecycles.
Module 09 - Application, API, and Secure-by-Design Architecture24:09
Define application security outcomes through secure defaults, precise authorization, abuse prevention, safe failure, verification, and production telemetry across complex business workflows.
Module 10 - DevSecOps, Infrastructure as Code, and Supply-Chain Assurance23:51
Design trusted delivery pipelines using protected source, governed dependencies, isolated builds, provenance, workflow identity, Infrastructure as Code controls, and verified deployment and rollback.
Module 11 - Data Protection and Privacy Engineering23:31
Connect data purpose, ownership, discovery, minimization, retention, encryption, key management, residency, and sharing to evaluate exposure and consequences for individuals.
Module 12 - Securing Generative AI and Agentic Applications24:01
Evaluate instruction boundaries, retrieval permissions, vector stores, sensitive information exposure, provider dependencies, agent authorization, human approval, and AI monitoring across the application stack.
Module 13 - Risk-Based Exposure Management and Security Validation23:36
Combine asset, identity, vulnerability, exploitation, and reachability evidence to prioritize exposure, validate attack paths, select treatments, and demonstrate meaningful risk reduction.
Module 14 - Detection Engineering, Threat Intelligence, and Hunting23:28
Develop detection hypotheses, define telemetry requirements, manage detection logic as code, apply threat intelligence, and test coverage, hunting assumptions, and response performance.
Module 15 - Incident Architecture, Forensics Readiness, and Resilience23:38
Design incident capabilities before disruption occurs, covering decision authority, evidence preservation, containment, cloud forensics, recovery dependencies, simulations, and verified architecture improvements.
Module 16 - Control Mapping, Continuous Compliance, and Evidence23:21
Map obligations to control objectives, implementations, owners, and evidence while evaluating automated assessments, inherited controls, exceptions, and the limits of continuous compliance claims.
Module 17 - OT, IoT, and Cyber-Physical Architecture24:17
Design security around physical processes, safety, availability, and legacy constraints, addressing zones, conduits, vendor access, monitoring, device lifecycles, and safe recovery.
Module 18 - Third-Party Architecture and Vendor Assurance24:22
Evaluate supplier designs and evidence against testable requirements, then define integration safeguards, operating duties, incident cooperation, portability, and achievable exit plans.
Module 19 - Integrated Architecture Case Study24:05
Bring the course together through HarborPoint Digital, connecting requirements, threats, identity, cloud-native platforms, applications, data, AI, resilience, and governance into a reviewable recommendation.
Module 20 - Final Review and Preparation for 30123:45
Consolidate your applied architecture method, recognize common design mistakes, and prepare to extend your skills into enterprise architecture, governance, investment, and leadership in Course 301.
Microsoft Azure Security Solutions20:01
Amazon Web Services Security Solutions17:34
Google Cloud Compute Security Solutions19:45
50 Top SIEM Use Cases for Cloud Adoption11:13
Bonus: Cybersecurity Solution Accelerators (201 Level)9:48
Cracks in the Chain: Threat Modeling for a Hybrid Cloud Expansion
No More Trust Falls: Designing a Zero Trust Strategy for Legacy Systems
Pipelines with Blind Spots: Securing Infrastructure as Code at BuildForge
Cybersecurity Solution Architecture 201 - Final Test

Requirements

This course assumes a foundational understanding of cybersecurity and secure solution design, ideally from Cybersecurity Solution Architecture 101 or equivalent experience. Learners should be comfortable with basic concepts such as networking, identity and access, cloud services, applications and APIs, data protection, cyber risk, and security controls. Prior professional experience in IT, cybersecurity, cloud, software development, engineering, risk, or a related technical field will be helpful, but no specific certification is required. You do not need access to specialized security tools or enterprise platforms. The course focuses on applied architecture, so learners should be prepared to analyze requirements, trust boundaries, threats, design options, implementation constraints, and operating evidence across connected enterprise services.

Description

Turn security objectives into architecture that teams can build, validate, and operate.

An identity provider can authenticate a user correctly while an application grants excessive access. A secure cloud environment can inherit risk from its software delivery pipeline. An AI service can expose information through a retrieval path that crosses an overlooked trust boundary.

Solving these problems requires understanding how security works across the complete business service.

Cybersecurity Solution Architecture 201: Applied Cloud, Identity, Software, Data, and AI Design develops your ability to make practical architecture decisions across connected technologies, teams, and suppliers.

Build on your security fundamentals and learn how to translate broad objectives into measurable requirements, implementation controls, transition plans, acceptance tests, and operating evidence.

Develop a repeatable approach to applied architecture

You will learn how to:

• Model service context, dependencies, data flows, and trust boundaries.
• Write measurable requirements that guide design and implementation.
• Analyze credible threats, abuse cases, attack paths, and failure scenarios.
• Compare architecture options and document the reasoning behind your decisions.
• Assign control ownership across platforms, applications, operating teams, and suppliers.
• Plan transitions, exceptions, and recovery requirements.
• Define acceptance tests and evidence that demonstrate whether a design works.

The emphasis is on making decisions clear enough for engineers to implement, operators to support, security teams to validate, and risk owners to evaluate.

Apply security architecture across modern environments

Explore how to design and evaluate security across:

• Zero Trust, policy enforcement, secure access, segmentation, and cloud edge services.
• Enterprise identity, non-human identities, and workload permissions.
• Cloud landing zones, hybrid environments, containers, Kubernetes, and serverless platforms.
• Applications, APIs, DevSecOps, Infrastructure as Code, and software supply chains.
• Data protection, privacy engineering, generative AI, and agentic applications.
• Exposure management, security validation, detection engineering, threat intelligence, and threat hunting.
• Incident readiness, forensics, recovery, and resilience.
• Continuous compliance, control evidence, OT, IoT, and cyber-physical systems.
• Third-party architecture, shared responsibility, and supplier risk.

Follow architecture decisions through a realistic enterprise case study

Continue the HarborPoint enterprise case study and examine how security decisions affect complete transactions—from identity and application access to data handling, monitoring, supplier dependencies, and recovery.

Use this connected perspective to recognize integration gaps, challenge assumptions, and understand how a control that succeeds locally can still leave the wider service exposed.

Strengthen skills relevant to architecture and delivery roles

This course is designed for cybersecurity professionals, security engineers, cloud and application security practitioners, consultants, and architects who already understand security fundamentals and want to develop stronger applied design skills.

It also supports engineers pursuing Forward-Deployed Engineer (FDE) roles by strengthening the architecture judgment used to clarify customer requirements, evaluate integrations, manage technical trade-offs, and define production acceptance criteria. These skills complement hands-on coding and deployment experience.

Take the next step in your architecture development

Course 201 builds on the foundations established in Course 101 and prepares you for the enterprise architecture, portfolio governance, investment, and leadership topics covered in Course 301.

Enroll today and develop a structured method for turning complex security requirements into practical, defensible architecture decisions.

Who this course is for:

Cloud or DevOps Engineers seeking to embed Zero Trust, IaC guardrails, and secure CI/CD practices into multi‑cloud pipelines.
Security Analysts and SOC Team Leads who want to translate operational findings into architectural improvements, threat‑model complex systems, and mature their organization’s incident‑response playbooks.
Mid‑Level Security Architects aiming to refine designs with advanced IAM, micro‑segmentation, data‑protection, and programmatic GRC, while preparing for leadership responsibilities.
Platform and Site‑Reliability Engineers (SREs) tasked with maintaining resilient, compliant production environments and eager to layer in automated security and continuous compliance checks.
IT Managers and Technical Project Owners responsible for delivering secure cloud migrations, DevSecOps initiatives, or regulatory programs who need a cohesive framework to guide cross‑functional teams.
Motivated Graduates or Career‑Changers who have completed a foundational course (our 101 track or equivalent) and are ready for deeper dives into threat modeling, Zero Trust rollouts, DevSecOps automation, and advanced GRC.