Best Cloud Security Training Platforms (2026): Pricing Compared
Compare current pricing, labs, certification alignment, and best-fit use cases across Pluralsight, Microsoft Learn, TryHackMe, Cybrary, and SANS for cloud-security training in 2026.
41 articles in this category
Compare current pricing, labs, certification alignment, and best-fit use cases across Pluralsight, Microsoft Learn, TryHackMe, Cybrary, and SANS for cloud-security training in 2026.
A team routes all traffic through Azure Firewall Premium at $1.84/hour, then discovers half their rules could have been NSG entries at zero marginal cost. Another team relies entirely on NSGs, then gets hit by a SQL injection that a WAF would have caught. This guide maps each service to the traffic layer it actually protects, provides side-by-side capability matrices, and gives you the decision framework for when to use each one alone or in combination.
Your CSPM dashboard shows a clean score while a compromised Lambda function silently reads S3 buckets across accounts, because CSPM does not model who can do what to your cloud resources. This guide draws the exact line between CSPM and CIEM, covers where each fails without the other, and gives you KQL queries, CLI commands, and a hardening checklist to operationalize both.
Azure DDoS Network Protection costs roughly $2,944 per month and stops Layer 3 and Layer 4 volumetric attacks: UDP floods, SYN floods, DNS amplification. It does not protect against HTTP floods, Slowloris, or TLS exhaustion targeting your Application Gateway. This guide covers the exact scenarios where the cost is justified, how to configure the plan correctly in Bicep, what Adaptive Protection actually does in practice, and how to set up the metrics and alerts required to claim SLA credits after a mitigation event.
Conditional Access secures the authentication gate but has no visibility into what users do inside cloud apps after sign-in, which OAuth apps hold delegated permissions to tenant data, or which unsanctioned SaaS tools are in use across the organization. This guide covers the complete Defender for Cloud Apps zero trust configuration: Cloud Discovery with Defender for Endpoint integration, Conditional Access App Control session policies, file-level DLP, and OAuth App Governance, with KQL queries to monitor enforcement from day one.
Responding to a security incident in the cloud is fundamentally different from on-premises IR. There is no physical access to affected machines, resources spin up and disappear in minutes, and the blast radius of a compromised identity can span an entire tenant in seconds. This playbook walks through the full NIST incident response lifecycle applied to Azure environments, with concrete KQL triage queries for Microsoft Sentinel, Defender XDR containment actions, evidence collection from Azure-native forensics sources, and a post-incident review framework. Whether you are handling a compromised service principal, an insider data exfiltration event, or a mass resource deletion, this guide gives you the exact commands, queries, and decision points to work through each phase systematically.
Most SOC 2 guides explain the framework. Almost none explain how to actually prepare for an audit when you run infrastructure on AWS or Azure. The gap between understanding the Trust Services Criteria and producing 12 months of auditor-ready evidence is where cloud companies fail. Auditors do not want your policy documents. They want log exports, access review records, penetration test reports, and proof that every control operated continuously, not just on the day the auditor arrived. This guide delivers a week-by-week 90-day preparation timeline, cloud-specific evidence collection for both Azure and AWS, a table of all five Trust Services Criteria mapped to the exact evidence auditors request, and the seven most common gaps that derail Type II opinions. Whether you are starting your first SOC 2 program or fixing a failed audit cycle, this is the operational guide you need.
Most security operations teams are reactive: they wait for an alert, investigate, and close. Threat hunting flips that model. A hunter starts with a hypothesis about attacker behavior, goes looking for evidence of that behavior in telemetry before any alert fires, and either confirms or disproves the hypothesis. In Microsoft Sentinel, that process is powered by KQL queries against your Log Analytics workspace, structured around the MITRE ATT&CK framework to ensure coverage maps to real attacker techniques. This guide walks through the full threat hunting cycle, eight production-ready KQL queries mapped to specific ATT&CK technique IDs, how to use Sentinel's dedicated hunting interface, how to build a hypothesis from threat intelligence, and how to convert a successful hunt finding into a permanent detection rule. Whether you are standing up a hunting program or deepening an existing one, this is the practical workflow.
The CAF accelerator deploys the scaffolding but leaves the security controls unconfigured. This guide covers the specific steps needed after the accelerator runs: policy assignments with correct effects, management group RBAC design, the logging baseline, and network controls that must be explicitly enforced.
Pattern-matching DLP fails when sensitive data has no recognizable format. This guide covers a complete Purview Information Protection deployment: label taxonomy design, service-side auto-labeling, DLP policies that use labels as conditions, and Endpoint DLP for managed devices.
Most AKS clusters deployed between 2020 and 2022 have no Pod Security Admission, overly permissive RBAC, and Defender for Containers disabled. That combination is not theoretical risk: a single privileged pod or unscanned image with a critical CVE is all it takes for a container escape to become a full cluster compromise. This guide covers the full security stack for production AKS workloads.
Most teams configured Key Vault with access policies years ago and never revisited. Azure RBAC is now the recommended model, and starting with Key Vault API version 2026-02-01 it is also the default for newly created vaults. This guide covers migration, rotation automation, network hardening, and detection queries that close the gap.
Azure Logic Apps Standard is moving toward agentic automation patterns, including preview support for exposing workflows as MCP servers and agent-style orchestration. This tutorial walks through a phishing triage reference architecture that checks URLs against VirusTotal, reads user risk scores from Microsoft Graph, and writes a structured verdict back to Microsoft Sentinel.
Agentic automation with Azure Logic Apps and MCP servers introduces trust boundaries that do not exist in traditional playbooks: an LLM sits between your trigger and your actions, MCP servers extend its reasoning context, and your alert data enters an inference endpoint. This is a practical threat model covering prompt injection, MCP server trust, managed identity scoping, and a production readiness checklist.
Every mature Logic Apps SOAR playbook eventually becomes a 47-step branching tree that nobody fully understands. Agentic automation patterns replace parts of that tree with an LLM reasoning loop and approved MCP tools. This piece shows the real difference, covers where agents beat playbooks, and makes the case for when playbooks still win.
Most GitHub security deployments fail within 90 days due to alert backlog, not lack of features. The rollout sequence matters more than configuration: secret scanning first, code scanning with the default query suite, then dependency review. This guide covers enterprise-scale deployment across GitHub Code Security, GitHub Secret Protection, Defender for DevOps integration, and alert triage that actually works.
Your Conditional Access policies almost certainly have a gap for consumer AI tools. ChatGPT, Claude.ai, and Gemini fall through blocks designed for cloud storage because they are categorized differently in most CASB and proxy rule sets. This guide shows how to find exactly what AI traffic is leaving your environment and enforce policy before an auditor does it for you.
A senior engineer spent eight months studying for AZ-500 while his daily job was writing KQL detection rules and triaging Defender XDR incidents in Microsoft Sentinel. He passed, and forgot most of it within six months because the content never touched his actual work. This guide maps what each exam genuinely tests, who each certification is designed for, and provides a decision framework so you study the cert that reinforces the work you actually do.
A storage account with allow_nested_items_to_be_public = true slipped through a tfsec scan because a developer had suppressed the check three months earlier without removing the annotation after the risk was resolved. This guide compares Checkov, Trivy (the tfsec successor), and Terrascan across rule coverage, false positive rate, custom rule authoring, and CI/CD integration to help you build a pipeline that actually catches misconfigurations before they reach production.
Azure Firewall Standard blocked dozens of known-bad IPs during a red team engagement and missed the C2 channel entirely: it was HTTPS to a clean domain. Standard tier reads the TLS SNI header and stops there. This guide maps exactly what each tier detects, where the coverage gaps are, what the upgrade costs in practice, and the decision criteria that actually matter for regulated and unregulated workloads.
A tenant can jump from 45% to 78% in two weeks by accepting risk on 47 recommendations and excluding resources from scope without changing a single security control. This guide separates genuine hardening from score manipulation, maps which recommendations deliver real attack surface reduction, and provides the KQL queries and implementation sequence to build a credible 90-day improvement program.
Defender for Identity sees everything in the authentication layer and nothing after a user logs on. Defender for Endpoint sees everything on the endpoint and nothing in the Kerberos or LDAP layer. This guide maps the exact coverage boundaries, overlap zones, common configuration gaps, and the KQL queries you need to correlate both products in Defender XDR.
The early 2026 release wave is the largest update to Defender for Cloud since the product rebranded from Azure Security Center. Copilot for Security integration, the AI workloads protection plan, and revamped DevOps security all shipped within weeks of each other, with integration work left entirely to the operator. Here is what actually changed and what you need to configure.
AZ-500, SC-200, and SC-300 are the three Microsoft security certifications people compare most often. AZ-500 retires on August 31, 2026, while SC-200 and SC-300 have newer skills outlines. This guide breaks down what each exam covers, who it is for, and which order to study them in.
Defender for Identity and Defender for Endpoint are both part of Microsoft Defender XDR but protect completely different attack surfaces. This quick overview explains what each product does, where they overlap, and when you need both.
Running workloads on AWS means you need Cloud Security Posture Management that understands AWS-native services, IAM relationships, and attack paths specific to the AWS environment. Here are the six best options evaluated.
CrowdStrike Falcon and Microsoft Defender for Endpoint are the two dominant EDR platforms in enterprise security. This comparison covers detection quality, performance, cost, and which fits your environment.
Microsoft Sentinel and Splunk dominate SIEM shortlists. This comparison covers architecture, query languages, detection quality, cost models, and which platform fits modern security operations.
Choosing the right CSPM platform shapes your entire cloud security posture. This side-by-side comparison of Wiz, Orca Security, and Lacework/FortiCNAPP covers architecture, detection quality, pricing model, market context, and which fits your environment.
Standard workload identity federation works well until your trust rules start multiplying across branches, workflows, and environments. This guide explains how flexible federated identity credentials in Microsoft Entra ID reduce that sprawl for GitHub Actions and Terraform Cloud, with practical examples and guardrails.
The CSPM market is reshuffling. Wiz mindshare dropped from 26.6% to 15.4% this year as buyers evaluate alternatives. This head-to-head compares Microsoft Defender for Cloud, Wiz, Orca Security, and Palo Alto Prisma Cloud across detection depth, agentless coverage, cost, and native cloud integration, with a buying guide for each profile.
Microsoft Sentinel is generally available in the Microsoft Defender portal, and the Azure portal experience is scheduled to lose support after March 31, 2027. Every Azure security team needs a migration plan. This guide covers the unified portal's architecture, what changes for analysts, migration steps for workbooks and analytics rules, and the gotchas that will slow you down.
Shifting security left means more than running a scanner in your pipeline. Learn how to build security gates, automate threat detection, and create a DevSecOps culture that catches vulnerabilities before they reach production.
Azure Policy and Defender for Cloud both flag security issues - but they solve different problems. Here is the clear breakdown of what each does, where they overlap, and which to use for governance vs security posture.
Terraform state files contain plaintext secrets, resource IDs, and access keys. Learn how to lock down your Azure Storage backend with Managed Identity, private endpoints, RBAC least privilege, and blob versioning - with full Terraform code examples.
Kubernetes misconfigurations drive a significant share of cloud security incidents. This guide covers full-depth hardening: RBAC design, Pod Security Standards, default-deny network policies, secrets management, image supply chain, runtime detection, audit logging, common failure modes, and a managed-vs-DIY tradeoff framework, with practical YAML examples throughout.
Learn how to set up your first CI/CD pipeline in Azure DevOps. This hands-on guide walks you through creating build and release pipelines with real examples.
Azure Bicep makes deploying Azure resources easier than ARM templates. Learn Bicep syntax, modules, secure Key Vault references, least-privilege deployment identities, and how it compares to Terraform for Azure-only teams.
Terraform best practices from real production incidents: module versioning, least-privilege provider credentials, policy-as-code gates before apply, and the team workflow checklist that prevents drift and state corruption.
Infrastructure drift silently reopens attack surface: an open security group, a public bucket, a loosened firewall rule. How to detect, triage, and fix it.
New to cloud security? This beginner's guide covers the shared responsibility model, the five core pillars (IAM, network, data, logging, incident response), a getting-started checklist, and the mistakes that trip up almost everyone starting out.