Cyber security is changing, and so are the skills employers look for.
AI is becoming part of everyday security work, more businesses are relying on cloud infrastructure, and attackers continue to find ways around existing defences.
But with so many areas to explore, where should you focus your learning in 2027?
The answer depends on the career you want to build. A SOC analyst needs to investigate suspicious activity, while a cloud security engineer needs to understand how systems and permissions work in cloud environments. Someone specialising in AI security faces a different set of challenges.
What connects these roles is the ability to apply technical knowledge to real security problems.
We'll explore nine cyber security skills worth developing in 2027, why they matter, and how you can practise them through TryHackMe.
What Cyber Security Skills Are Employers Looking For in 2027?
Recent employment research points to growing demand for AI, automation, cloud security and incident response skills.
According to the UK government's Cyber Security Skills in the UK Labour Market 2026 report, which analysed 34,932 core cyber security job postings from 2025:
Demand for automation skills increased from 11% of postings in 2024 to 15% in 2025. Mentions of AI skills rose from 4% to 9% over the same period.
These figures cover UK vacancies rather than every cyber security job worldwide. They are useful indicators of recent employer demand, not a definitive prediction of hiring in 2027.
The World Economic Forum's Future of Jobs Report 2025 offers a broader perspective. Employers surveyed expected AI and big data, networks and cyber security, and technological literacy to be among the fastest-growing skill areas through 2030.
For learners, this suggests a useful approach: build strong technical foundations, then develop practical skills in the areas relevant to your career goals.
1. Networking and Operating System Fundamentals
Networking and operating system knowledge remain essential across almost every technical cyber security role.
Networking is how computers and other devices communicate. Understanding IP addresses, ports, network protocols and traffic helps you recognise how information moves between systems.
Operating systems, such as Windows and Linux, manage a computer's software, hardware and resources. Their processes, user accounts, permissions and logs provide important evidence during security investigations.
For example, imagine a security alert showing an unexpected connection to an external server.
To investigate it, you need to understand which device initiated the connection, which process was responsible and whether the destination is suspicious.
Those questions rely on networking and operating system knowledge.
Skills to develop: TCP/IP, DNS, HTTP, Windows and Linux administration, user permissions, processes and basic system logging.
How to practice: Use a lab to investigate a network connection or login event. Identify the source, destination and account involved, then explain which additional logs could help you understand the activity.
TryHackMe's Cyber Security 101 path introduces these fundamentals through hands-on exercises.
2. Cloud Security and Identity Management
As organisations host more applications and data in the cloud, they need practitioners who understand how to protect those environments.
Cloud security involves securing services, infrastructure and information hosted on platforms such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud.
One of its most important areas is identity and access management (IAM).
IAM determines who or what can access a resource and which actions they are allowed to perform.
For example, an application might need permission to read files from one cloud storage location. If its identity has permission to access every storage resource in the environment, a compromised application could expose much more information than intended.
Cloud security professionals need to recognise these risks and understand how permissions can be restricted without disrupting legitimate operations.
Skills to develop: Cloud IAM, access policies, network security, cloud logging, workload protection and investigating configuration changes.
How to practice: In an authorised lab, examine a cloud access policy and identify what it permits. Recommend a narrower permission set, then test whether the application can still perform its required tasks.
TryHackMe's Defending Azure path provides hands-on practice with Microsoft Sentinel, Defender and Kusto Query Language (KQL), a language used to search and analyse security data.
For a broader introduction, read How to Get Started With Cloud Security.
3. AI Security and Threat Modelling
AI security is an increasingly relevant specialisation as businesses introduce large language models, AI assistants and automated systems into their products and operations.
AI security focuses on protecting AI applications, the data they process and the systems they interact with.
A useful starting point is threat modelling, which involves identifying what could go wrong in a system, how an attacker might exploit it and which controls could reduce the risk.
For an AI application, that means understanding its inputs, the information it can retrieve and the actions it can perform.
Several important concepts are worth learning:
- Prompt injection: When an attacker places malicious instructions in content an AI system processes, attempting to influence its behaviour.
- Data poisoning: Manipulating information used for training or retrieval to affect the system's outputs.
- Sensitive information disclosure: When an AI system reveals data that should remain protected.
- Excessive permissions: When an AI agent can access information or perform actions beyond what its task requires.
The UK National Cyber Security Centre's assessment of AI threats through 2027 expects AI to improve the efficiency of several cyber intrusion activities while the wider adoption of AI systems introduces additional security challenges.
How to practice: Use a permitted AI security lab to examine what information an AI assistant can access. Test a controlled misuse scenario, explain the result and assess how a security control changes the outcome.
TryHackMe's AI Security path covers AI fundamentals, prompt injection, threat modelling, supply chain security and data poisoning through practical exercises.
4. Security Monitoring and Detection Engineering
Security teams need to identify suspicious behaviour quickly and understand what it means.
Security monitoring involves collecting and reviewing activity from systems and applications to identify potential threats.
A Security Operations Centre (SOC) performs this work by monitoring alerts, investigating suspicious activity and supporting incident response.
Detection engineering takes this further by developing and improving the rules used to identify potentially malicious behaviour.
For example, a detection engineer might create a rule that identifies an Office application unexpectedly launching PowerShell.
The rule needs to capture relevant activity while accounting for legitimate behaviour that could produce similar events.
This makes log analysis another essential skill. Logs are records of system activity that analysts examine to understand what happened.
You'll also encounter false positives, which occur when a detection incorrectly flags activity as suspicious.
Skills to develop: SIEM queries, log analysis, alert triage, detection rule development and investigation reporting.
A Security Information and Event Management (SIEM) platform collects and helps analyse security events from multiple systems.
How to practice: Build a detection for one suspicious behaviour. Test it against malicious and legitimate examples, then document which events it identifies and which variations it could miss.
Start with SOC Level 1 for investigation fundamentals, then explore Detection Rules Development once you've completed its prerequisites.
5. Incident Response and Digital Forensics
When a security incident happens, organisations need people who can understand the compromise and help limit its impact.
Incident response (IR) is the process of investigating security incidents, containing threats, removing attacker access and supporting recovery.
Digital forensics focuses on collecting and examining digital evidence to determine what happened.
Together, these disciplines are known as digital forensics and incident response (DFIR).
For example, imagine an attacker gains access to a Windows workstation and creates a scheduled task that runs a malicious program.
An incident responder needs to investigate how the attacker gained access, whether other systems were affected and which actions could prevent further damage.
Digital forensic analysis provides evidence to support those decisions.
That might involve examining Windows event logs, file activity, memory or other system artefacts.
Skills to develop: Evidence collection, Windows investigations, incident timelines, attacker persistence and forensic reporting.
How to practice: Complete an incident response lab and write a short report explaining what happened, the systems affected and the evidence supporting your conclusions.
TryHackMe's Windows Incident Response & Forensics path develops advanced Windows investigation skills, including evidence collection, timeline analysis and memory forensics.
It's intended for learners who already understand Windows and incident response fundamentals.
6. Application and API Security
Businesses depend on web applications and APIs for everything from customer accounts to payment processing and internal operations.
Application security (AppSec) focuses on identifying and preventing weaknesses in software.
An application programming interface (API) allows software systems to exchange information or perform defined operations.
For example, a banking application might use an API to retrieve account information.
The API needs to verify that each user is authorised to access the account they request.
If that access check is missing, one user might be able to retrieve another customer's information.
This is an example of a broken authorisation vulnerability.
Understanding how these issues occur requires knowledge of HTTP requests, authentication, access controls and the way applications process data.
Skills to develop: Web security, HTTP, API authentication, authorisation, vulnerability testing and secure coding concepts.
How to practice: In an authorised web security lab, investigate whether an application correctly restricts access to user-owned resources. Document the weakness, its impact and an appropriate remediation.
TryHackMe's Web Application Pentesting path covers practical web application testing and common vulnerability classes.
7. Vulnerability Assessment and Remediation
Organisations regularly discover vulnerabilities in software, operating systems and infrastructure.
Knowing how to identify those weaknesses is valuable. Knowing which ones to address first is equally important.
Vulnerability assessment is the process of identifying and evaluating security weaknesses.
Vulnerability management goes further by tracking those findings, prioritising them and verifying that appropriate fixes have been applied.
For example, two servers may contain the same vulnerability.
One is an isolated internal test system. The other is an internet-facing production server that supports a critical application.
The vulnerability itself may be identical, but the exposure and potential business impact differ.
Security practitioners need to consider those differences when recommending remediation.
Relevant factors include the vulnerability's severity, evidence of real-world exploitation, accessibility and the importance of the affected system.
The CISA Known Exploited Vulnerabilities (KEV) catalogue helps defenders identify vulnerabilities with evidence of exploitation in the wild.
How to practice: Build a fictional inventory containing several systems and vulnerabilities. Decide which issues to address first, justify your choices and explain how you would verify that the fixes worked.
TryHackMe's Jr Penetration Tester path provides practical experience identifying and explaining vulnerabilities, which can support further learning in vulnerability management.
8. Scripting and Security Automation
Security professionals regularly work with repetitive tasks, from reviewing logs to collecting system information.
Scripting helps make those activities faster and more consistent.
Scripting means writing instructions that a computer executes to perform a task. Python and PowerShell are commonly used for security-related work.
Security automation uses scripts, tools or workflows to perform defined security tasks with less manual effort.
For example, instead of manually reviewing thousands of authentication events, you could write a Python script that groups failed logins by account and highlights unusual patterns.
To do that well, you need to understand the data, how your script processes it and what the output means. Automation also introduces risks when scripts have permission to change production systems.
A script that collects information requires different safeguards from one that disables accounts or isolates endpoints.
Skills to develop: Python or PowerShell, working with JSON and CSV files, API requests, error handling and basic version control.
How to practice: Write a script that analyses authentication logs in a permitted lab. Test how it handles normal records, missing fields and empty results. Check the output manually to confirm the logic.
TryHackMe's Windows PowerShell room introduces scripting concepts you can apply to system administration and security tasks.
AI tools can also help you draft scripts, but you should be able to understand, verify and test the code before relying on it.
9. Risk Assessment and Technical Communication
Technical skills help you identify security problems. Communication and risk assessment help other people understand what those problems mean and what needs to happen next.
Cyber security risk assessment involves evaluating potential threats, the systems they could affect and the consequences of a security failure.
It helps organisations decide which risks need attention and which controls are appropriate.
Technical communication is the ability to explain your findings clearly to different audiences.
For example, an incident responder may need to explain a compromise to another analyst who needs technical evidence.
The same findings may need to be presented differently to a manager deciding whether to take a critical service offline.
Both explanations should be accurate, but each reader needs a different level of detail.
This skill applies across cyber security careers, including SOC analysis, penetration testing, incident response and security engineering.
How to practice: Take one finding from a completed lab and write two summaries: a technical explanation for another security practitioner and a short report for a non-technical decision maker.
Use the reports and investigation notes from your TryHackMe exercises as writing practice. The cyber security portfolio guide can help you organise your findings into projects that demonstrate your abilities.
Which Cyber Security Skills Should You Learn First?
You don't need to master all nine areas to build a successful cyber security career.
A better approach is to choose a direction, develop the foundations and gradually build specialist knowledge.
Here's how the skills connect to different career goals.
If you're a complete beginner, develop your networking, Windows, Linux and basic security knowledge first.
If you already have some experience, review the responsibilities in roles you want to pursue and identify the skills you need to strengthen.
Your learning will be more useful when it prepares you for specific tasks rather than simply adding more tools to your CV.
How to Build a Cyber Security Learning Plan for 2027
You can make meaningful progress without attempting to study every specialism at once.
Start with one career direction and give yourself a manageable period to develop a useful skill.
Your First 90 Days
For example, someone interested in SOC analysis might spend the first month strengthening log analysis skills.
During the second month, they could investigate more complex security alerts.
By the third month, they could document a complete investigation with evidence, conclusions and follow-up recommendations.
The goal is to reach a point where you can explain what you did and demonstrate how you solved a problem.
You can repeat that process as your skills develop and your career interests become clearer.
Develop the Cyber Security Skills That Matter With TryHackMe
Cyber security will continue to evolve in 2027, with AI, cloud technology and automation introducing new challenges alongside established security threats.
Whatever direction you choose, practical experience will help you turn technical knowledge into useful skills.
With TryHackMe, you can learn through hands-on exercises designed around real cyber security tasks.
Explore the AI Security path to understand emerging AI threats, develop your cloud investigation skills with Defending Azure, or take your incident response abilities further through Windows Incident Response & Forensics.
Ayomide Joseph A.
