Cloud security is the fastest-growing skills gap in cyber security. Organisations have moved their infrastructure to AWS, Azure, and GCP faster than they have built the teams to secure it. The result is a field with more open roles than qualified practitioners, salaries that reflect that scarcity, and a genuine opportunity for people who build the right skills now.
The challenge is that most cloud security learning resources either assume you already understand cloud platforms or assume you already understand security. Very few start from where most people actually are: somewhere in between. This guide does.
Here is what cloud security involves, which skills matter most, where to practise them hands-on, and the learning path that takes you from beginner to job-ready.
What Skills Do You Need for Cloud Security?
Cloud security is not a single skill set. It spans identity and access, network configuration, monitoring and detection, incident response, and secure architecture across platforms that work differently from traditional on-premises infrastructure. Here is what each area actually involves.
Identity and Access Management (IAM)
IAM is where the majority of cloud breaches begin. Overly permissive roles, unused service accounts, long-lived API keys, and poorly scoped policies all create attack surface that attackers routinely exploit. Understanding IAM means knowing how to read and write policies, how to apply least privilege in practice, how to audit existing permissions, and how to detect when credentials have been compromised.
On AWS, this means IAM policies, roles, and the permission boundary model. On Azure, it means Azure AD, RBAC, and service principals. On GCP, it means service accounts and IAM bindings. The concepts are consistent across platforms. The implementation details differ.
Practising least privilege in cloud is a specific skill that develops through doing, not reading. Setting up an IAM role with exactly the permissions a workload needs, no more, and then testing it, builds the practical intuition that theoretical study does not.
Network Security
Cloud networking is not the same as on-premises networking. VPCs, security groups, network ACLs, private subnets, and transit gateways all behave differently from traditional firewalls and switches. Cloud network security means understanding how traffic flows between services, how to restrict it appropriately, and how to detect anomalous patterns.
Azure AD attack paths are worth specific attention for anyone operating in Microsoft cloud environments. Active Directory concepts that are familiar from on-premises environments carry over into Azure AD but with new attack surfaces: pass-through authentication, federated identity, conditional access policies, and privilege escalation paths through Azure resource groups are all areas where defenders need to understand attacker thinking.
Storage Security
Misconfigured storage is one of the most consistently exploited cloud vulnerabilities. S3 buckets set to public. Azure Blob containers with anonymous access. GCP Cloud Storage buckets with overly permissive IAM bindings. The breaches that result from these misconfigurations are well documented and almost entirely preventable.
S3 bucket hardening specifically involves: understanding the interaction between bucket policies, ACLs, and block public access settings; enabling versioning and object lock for sensitive data; configuring server-side encryption; and setting up CloudTrail logging to detect unexpected access. These are learnable, specific, testable skills.
Monitoring, Detection, and Incident Response in Cloud
Cloud platforms generate enormous volumes of log data. The skill is knowing which logs matter, how to query them efficiently, and how to detect the signals that indicate a compromise.
AWS CloudTrail, Azure Monitor and Sentinel, and GCP Cloud Logging and Security Command Center are the native tools. Understanding what each one captures, how to configure alerting, and how to investigate a suspicious event in a cloud environment is the practical skill that cloud security monitoring roles require.
Incident response in cloud has specific considerations that traditional IR does not cover: evidence preservation across ephemeral compute instances, isolating compromised workloads without destroying evidence, and understanding the shared responsibility model so you know which artefacts you have access to and which the provider holds.
Container and Kubernetes Security
Containers are the dominant deployment model for cloud applications and they introduce their own attack surface. Container escape techniques allow an attacker who has compromised a container to break out to the underlying host. Understanding how this works, how to configure container security contexts to prevent it, and how to detect it in monitoring data is increasingly expected in cloud security roles.
Kubernetes security extends this further: RBAC configuration, pod security admission, network policies, and secrets management are all areas where misconfigurations are common and exploitable.
The Learning Path: From Foundations to Job-Ready
Step 1: Build cloud fundamentals before security
Understanding what you are securing is a prerequisite to securing it. Spend time with the free tier of at least one major cloud provider before focusing on security. AWS, Azure, and GCP all offer free tiers with enough access to build real familiarity.
AWS Cloud Practitioner and Azure Fundamentals (AZ-900) are the foundational credentials that signal you understand the platform. Neither is a security certification, but both establish the architectural knowledge that makes cloud security concepts concrete rather than abstract.
Step 2: Build cloud security skills on TryHackMe
TryHackMe's cloud security rooms provide the hands-on practice layer that free cloud provider accounts alone do not give you. The Cloud Security Fundamentals room covers IaaS, PaaS, and SaaS security models and introduces the shared responsibility model in a structured way. The Cloud Security Pitfalls room covers the specific misconfigurations that organisations face when migrating to cloud, from the SOC perspective.
For anyone targeting a SOC analyst role with cloud responsibilities, TryHackMe's SOC Level 1 path builds the detection and investigation skills that cloud monitoring requires. SIEM proficiency, log analysis, and incident response methodology all transfer directly to cloud security operations work.
Step 3: Practise the specific skills that employers test
The skills gaps most frequently cited in cloud security hiring are IAM configuration and auditing, misconfiguration identification (particularly storage and network), and incident response in cloud environments. These are the areas to invest most heavily in.
Build a home lab on a free-tier cloud account. Create IAM roles with intentional over-permissions, then audit them. Misconfigure an S3 bucket, detect the misconfiguration, and remediate it. Set up CloudTrail logging, generate some activity, and investigate it. These are the exercises that produce the specific, concrete examples that technical interviews ask for.
Step 4: Get certified
AWS Certified Security Specialty is the most widely recognised cloud security credential for AWS environments. Microsoft SC-200 is the equivalent for Azure-focused roles. Both require platform familiarity before they are achievable. They are mid-level credentials: the target after your foundational cloud knowledge and hands-on security skills are both in place.
TryHackMe's SAL1 certification validates the SOC analyst skills that cloud security monitoring roles require, through a live simulator exam rather than multiple choice. For practitioners targeting cloud security roles that involve detection and response responsibilities, which describes most cloud security analyst positions, SAL1 is the practical credential that answers the "can you actually do the investigation work" question. Premium subscribers receive a 15% discount.
Which Cloud Platform Should You Focus On?
AWS has the largest global market share and the highest volume of job postings. For most people starting out, AWS is the practical first choice.
Azure dominates large enterprise environments, particularly those with Microsoft technology stacks. If you are targeting enterprise SOC or security engineering roles, Azure familiarity is increasingly expected.
GCP is strongest in data and machine learning workloads. GCP security for newcomers is a genuine growth area as more organisations adopt Google Cloud, but the job market is smaller than AWS or Azure at entry level.
The concepts, shared responsibility, IAM, network segmentation, logging and monitoring, transfer across all three platforms. Platform-specific implementation details are learnable relatively quickly once the conceptual foundation is solid. Start with one platform deeply rather than three platforms shallowly.
Start Building Cloud Security Skills
Cloud security is a specialism that rewards people who start early. The practitioners who build these skills now, while the talent gap is still wide, will be the ones commanding the highest salaries and most interesting roles as cloud adoption continues to accelerate.
TryHackMe's cloud security rooms are the most accessible starting point for hands-on practice. No cloud provider account required. No infrastructure to configure. Open your browser and start learning.
Start Building Cloud Security Skills on TryHackMe
Nick O'Grady