Cloud conceptsSecurity conceptsIntermediate21 min read

What Is Shared responsibility? Security Definition

Reviewed byJohnson Ajibi· Senior Network & Security Engineer · MSc IT Security
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Quick Definition

When you use cloud services, you and the cloud provider share the job of keeping things secure. The provider protects the physical data centers and the cloud infrastructure itself. You are responsible for protecting your own data, user access, and how you configure the services you use. It is not all up to the provider or all up to you both have a part to play.

Commonly Confused With

Shared responsibilityvsManaged services

Managed services like AWS RDS or Azure SQL Database handle patching of the database engine and backups, but the customer still manages data access, encryption keys, and schema design. Shared responsibility is broader and applies to all cloud services, not just managed ones.

With a managed database, the provider patches the DB engine, but you still have to set strong passwords and encrypt your data. That is shared responsibility in action, but managed services only describe a subset of the model.

Shared responsibilityvsZero Trust security

Zero Trust is a security model that assumes no user or device is trusted by default, even inside the network. Shared responsibility defines who owns which security controls. They complement each other, but zero trust is a strategy, while shared responsibility is a division of labor.

You can apply zero trust principles inside your cloud environment to verify every request, but the shared responsibility model determines whether you or the provider must implement those principles for each layer.

Shared responsibilityvsSegregation of duties

Segregation of duties is an internal control concept that prevents one person from having too much access. Shared responsibility is between the customer and an external provider, not between employees. Both concepts separate duties, but at different levels.

Segregation of duties would say a cloud admin should not also be the auditor. Shared responsibility says the cloud admin's company owns the data security, while the provider owns the physical security.

Must Know for Exams

Shared responsibility appears in almost every major cloud certification exam, including AWS Certified Solutions Architect (SAA-C03), AWS Certified Developer (DVA-C02), AWS Certified SysOps Administrator (SOA-C02), Microsoft Azure Administrator (AZ-104), Microsoft Azure Security Engineer (AZ-500), Google Cloud Associate Cloud Engineer, and CompTIA Cloud+. It is also a key topic in the Cloud Security Alliance (CSA) CCSK and the (ISC)² CCSP (Certified Cloud Security Professional). In these exams, questions are designed to test whether you can correctly assign responsibility for a specific task to either the provider or the customer, depending on the service model.

For AWS exams, you must know that AWS handles the host operating system, virtualization layer, and physical security of data centers. For EC2 instances, the customer handles the guest OS, applications, and security group rules. For RDS databases, AWS handles the database engine and patches, but the customer is still responsible for data encryption keys, user permissions, and network access. For S3, AWS secures the underlying storage infrastructure, but the customer must set bucket policies, enable encryption, and manage access keys.

Azure exams follow a similar pattern but use different terminology, such as Azure Active Directory, Azure RBAC, and Azure Policy. Questions often present a scenario where a company migrates a workload to Azure and asks which security tasks the customer still owns. Google Cloud exams test the same concept with GCP-specific services like Cloud IAM, VPC firewall rules, and Cloud KMS. CompTIA Cloud+ and CCSP exams focus more on the conceptual understanding, requiring you to identify the correct model for IaaS, PaaS, and SaaS. Multiple-choice questions often list four security activities and ask which one is the customer's responsibility. The most common exam trap is assuming that the provider handles all security tasks except data, but the reality is more nuanced. You must learn the specific boundaries for each service.

Simple Meaning

Imagine you are renting an apartment in a large building. The landlord is responsible for the building's structure, the roof, the plumbing in the walls, the fire alarms in the hallways, and the security of the main entrance. You, as the tenant, are responsible for locking your own door, keeping your windows closed, not leaving your laptop on the coffee table where someone can see it through the window, and making sure your smoke detector inside your apartment has batteries. If a burglar breaks into the main lobby because the landlord left the door unlocked, that is the landlord's fault. If a burglar breaks into your apartment because you left your door unlocked, that is your fault.

In cloud computing, the same idea applies. The cloud provider like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform is the landlord. They secure the huge data centers, the servers, the networking cables, the hypervisors that run the virtual machines, and the physical hardware. They handle security patching of the underlying infrastructure. But when you create a virtual server, install an operating system, add applications, set up user accounts, and store customer data, all of that is your responsibility. You must configure firewalls correctly, manage who has access, encrypt sensitive information, and apply security updates to the operating system and applications you install. The provider will not do those things for you, even though you are using their cloud. This split of duties is the shared responsibility model.

This model exists because no cloud provider can know what security settings are right for every customer. A hospital has very different security needs than a small blog. Therefore, the provider handles the security of the cloud, and the customer handles security in the cloud. Understanding this boundary is essential for passing IT certification exams and for working securely in any cloud environment.

Full Technical Definition

The shared responsibility model is a foundational security framework in cloud computing that delineates the security obligations of the cloud service provider (CSP) and the cloud customer. The exact distribution of responsibilities depends on the service model used Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS). In all cases, the CSP is always responsible for the security of the physical infrastructure, including data centers, network hardware, storage devices, servers, and the hypervisor layer. The customer is always responsible for data classification, data encryption, identity and access management (IAM), and compliance with internal policies and external regulations like GDPR or HIPAA.

In an IaaS model such as Amazon EC2, the customer is responsible for configuring the guest operating system, installing patches, managing the application stack, setting up network access control lists (ACLs) and security groups, and encrypting data at rest and in transit. The provider secures the physical host, the virtualization layer, and the underlying network. In a PaaS model like AWS Elastic Beanstalk or Azure App Services, the provider takes on more responsibility, including the runtime environment, middleware, and sometimes the operating system. The customer remains responsible for application code, data, and user access management. In a SaaS model like Office 365 or Salesforce, the provider handles nearly everything including the application, runtime, middleware, and operating system, but the customer still owns data and user access controls.

Major cloud platforms formalize this model in their compliance documentation. For example, AWS publishes a whitepaper titled AWS Shared Responsibility Model which explicitly states that AWS is responsible for the security of the cloud, while the customer is responsible for security in the cloud. Azure uses a similar model with its Azure Security Benchmark. The National Institute of Standards and Technology (NIST) also references this concept in its cloud computing security guidance. Exam questions frequently test a candidate's ability to identify which party is responsible for a given security task based on the service model. Common exam topics include understanding that the cloud provider never assumes responsibility for customer data or customer-managed configurations. Misunderstanding this boundary leads to security breaches and is a frequent cause of cloud security incidents reported in the industry.

Real-Life Example

Think about ordering takeout from a restaurant using a delivery app. You are the customer, the delivery app is the platform, and the restaurant is the cloud provider. The restaurant is responsible for cooking the food in a clean kitchen, using fresh ingredients, and packaging it properly. That is the provider's responsibility for the physical infrastructure. The delivery app is responsible for correctly transmitting your order to the restaurant, showing you the correct menu, and providing a way to pay securely. That is the platform's job. But you, the customer, are responsible for entering the correct delivery address, paying with a valid card, and making sure someone is home to receive the food. If you enter the wrong address, the app cannot fix that for you. The restaurant and the app cannot be blamed if you gave the wrong information.

Now map this to the cloud. The cloud provider (the restaurant) keeps the servers running and the data centers physically safe. The platform (the operating system or middleware, like PaaS) handles the runtime environment. You, the customer, are responsible for configuring your virtual servers correctly, managing user permissions, and protecting your data. If you accidentally leave a cloud storage bucket open to the public, that is like leaving your front door wide open. The provider will not lock it for you because they do not know which data you want public and which you want private. This everyday analogy shows that the shared responsibility model is not just a theoretical concept it directly affects who is accountable when something goes wrong. In cloud security incidents, the first question investigators ask is who was responsible for the vulnerable component. If it is the customer's misconfiguration, the provider is not liable. That is why certification exams place heavy emphasis on this concept.

Why This Term Matters

In real-world IT, the shared responsibility model determines how organizations allocate security budgets, design architectures, and respond to incidents. When a company moves to the cloud, the IT team must understand that they cannot simply trust the provider to handle everything. Many high-profile data breaches have occurred because a company assumed the cloud provider was responsible for securing a database, when in fact the company had configured the database with a public IP address and no password. The provider's responsibility ended at the physical server and network, not at the application layer. This misunderstanding leads to costly fines, loss of customer trust, and legal consequences.

For IT professionals, the shared responsibility model influences daily decisions such as who patches the operating system, who manages SSL certificates, who rotates encryption keys, and who monitors for unusual user activity. In IaaS, the customer handles all of these tasks. In PaaS, some are handled by the provider. In SaaS, most are handled by the provider but the customer still must manage user roles and data classification. A cloud architect must design systems that respect these boundaries, using tools like AWS Config or Azure Policy to ensure that customer-managed resources stay compliant. A security analyst must be able to interpret audit logs and determine whether a security event falls under provider responsibility or customer responsibility.

regulatory compliance requirements like PCI DSS, HIPAA, and SOC 2 explicitly reference the shared responsibility model. Auditors will ask for documentation showing that the customer has implemented appropriate controls for the portions they own. Failing to do so can result in failed audits and business interruptions. Therefore, understanding shared responsibility is not optional for cloud professionals it is a core job skill. Certification exams test this concept thoroughly because it is one of the first things a cloud practitioner must grasp to work effectively and securely.

How It Appears in Exam Questions

Exam questions on shared responsibility usually fall into three categories: responsibility allocation, scenario analysis, and best practice determination. In responsibility allocation questions, the exam presents a list of security tasks and asks which is the sole responsibility of the customer. For example, a question might list patching the hypervisor, configuring security groups, managing physical data center access, and encrypting data at rest. The correct answer would be encrypting data at rest and managing security groups, because patching the hypervisor and physical access are provider tasks.

Scenario analysis questions describe a company that has deployed an application using EC2 instances and an RDS database. A security incident occurs, and the question asks which responsibility boundary was violated. For instance, if a hacker exploited a vulnerability in the operating system of an EC2 instance, the customer is at fault because patching the guest OS is the customer's job. If the hacker gained access by exploiting a physical security weakness at the data center, the provider is at fault.

Best practice questions ask you to select the most appropriate actions to meet compliance requirements. For example, a company storing healthcare data in AWS must ensure compliance with HIPAA. The question might ask, Which task is the customer responsible for as part of shared responsibility? The answer would be configuring encryption of the data in S3, managing user access controls, and handling breach notification. The provider is responsible for maintaining the HIPAA eligibility of the underlying infrastructure.

Another common question pattern involves comparing service models. A question may ask, What changes when moving from IaaS to PaaS regarding security responsibilities? The correct answer is that the provider takes over more responsibility for the runtime environment, operating system, and middleware, while the customer still controls applications and data. Some questions also use the phrase security of the cloud vs. security in the cloud, which is a direct reference to the AWS Shared Responsibility Model. Learners must memorize that distinction and apply it to the specific services mentioned in the question.

Practise Shared responsibility Questions

Test your understanding with exam-style practice questions.

Practise

Example Scenario

Company TechFlow decides to move its web application to AWS. The application consists of a front-end web server running on an EC2 instance, a MySQL database hosted on Amazon RDS, and user files stored in an S3 bucket. The IT team has a security incident: a hacker gains access to the EC2 instance because they did not apply the latest security patches to the operating system. The hacker then uses that instance to read data from the RDS database and download files from the S3 bucket.

During the post-incident analysis, the team tries to assign blame. They argue that since everything is on AWS, AWS should have prevented the attack. However, under the shared responsibility model, AWS is responsible for patching the hypervisor and the physical network, but the customer is responsible for patching the guest operating system on the EC2 instance. The team failed to apply the OS patches, so the breach is their fault. The customer is responsible for configuring the security groups to limit inbound traffic to the EC2 instance, but they had left port 22 open to the entire internet, making the attack easier. The team also did not enable encryption at rest on the RDS database, so the attacker could read the data directly.

Moving forward, TechFlow implements a patch management policy, configures security groups to restrict access, enables encryption on RDS and S3, and sets up AWS Config rules to automatically detect misconfigurations. They also update their Incident Response plan to recognize that they bear full responsibility for data security inside AWS. This scenario illustrates that simply using the cloud does not transfer all security duties to the provider. Certification exams often present similar scenarios and ask which party is liable for the breach or what step the company should have taken to prevent it.

Common Mistakes

Believing the cloud provider is responsible for all security patching.

In IaaS and PaaS, the provider patches only the underlying infrastructure and hypervisor. The customer must patch the guest OS and applications they install.

Always verify which layer you own. Use automated patch management tools like AWS Systems Manager Patch Manager or Azure Update Management for your resources.

Assuming migrating from on-premises to the cloud removes all security work.

The cloud provider handles physical security and hardware maintenance, but the customer still handles identity, data encryption, network access controls, and compliance.

Map each security control to a specific owner before migration. Use the provider's shared responsibility documentation as a checklist.

Thinking that SaaS means the provider handles all security including user access.

In SaaS, the provider secures the application and infrastructure, but the customer must manage user accounts, permissions, and data classification. If a weak password leads to a breach, it is the customer's fault.

Implement strong identity policies, enable multi-factor authentication, and review user roles regularly even in SaaS applications.

Confusing shared responsibility with the idea that both parties are responsible for the same things.

Shared responsibility does not mean overlapping responsibility. Each party has distinct, separate obligations. The provider does not help with customer tasks, and the customer does not help with provider tasks.

Create a clear responsibility matrix that lists each security domain and marks who owns it. Avoid assuming joint ownership of any single control.

Exam Trap — Don't Get Fooled

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,"how_to_avoid_it":"Memorize that in all service models, the customer is always responsible for the application code, data, and user access. The provider never writes your code or configures your application's security. The boundary that moves is for the operating system and middleware, not for custom business logic."

Step-by-Step Breakdown

1

Identify the service model

First, determine whether the workload uses IaaS (like EC2, virtual machines), PaaS (like AWS Elastic Beanstalk, Azure App Service), or SaaS (like Office 365). This step is critical because the distribution of responsibilities changes significantly between models.

2

Draw the responsibility boundary line

For IaaS, the line goes between the hypervisor and the guest OS the provider secures below the line, the customer secures above. For PaaS, the line moves above the runtime and middleware, so the provider takes the OS responsibility. For SaaS, the line is above the application, so the provider handles almost everything except data and user access.

3

List provider responsibilities

The provider always handles physical data centers, hardware, networking cables, power, cooling, and the virtualization layer. In PaaS, they also handle the OS and runtime. In SaaS, they handle the application, OS, runtime, and middleware. Document these to understand what is covered.

4

List customer responsibilities

The customer always owns data classification, data encryption, identity and access management, and compliance with regulations. In IaaS, they also own the OS, applications, network traffic controls, and patching. In PaaS, they own the application code and data. In SaaS, they own user data and user access settings.

5

Map specific services to each side

Take each cloud service you plan to use and determine which specific tasks fall to the customer. For example, with Amazon S3, the customer sets bucket policies, enables versioning, configures encryption, and manages access keys. With Amazon RDS, the customer manages the data, security groups, and SSL certificates, while AWS handles the database software and backups.

6

Implement customer-owned controls

Configure the controls using provider tools like AWS Config, Azure Policy, or GCP Organization Policies to enforce compliance. Use automation to patch, monitor, and audit customer-owned resources. This step makes the shared responsibility model operational.

7

Review and update regularly

As cloud services evolve and new models emerge, re-evaluate the responsibility boundary. For instance, serverless computing like AWS Lambda shifts more responsibility to the provider, but the customer still owns code and permissions. Regular audits ensure no gaps in security coverage.

Practical Mini-Lesson

Shared responsibility is not just a concept you answer on an exam it is a daily operational reality for cloud professionals. When you log into the AWS Management Console and launch an EC2 instance, you are immediately placed in the customer role. You must decide the security group rules that control inbound and outbound traffic. You must choose whether to use a public or private subnet. You must patch the operating system after launch. If you choose an Amazon Machine Image (AMI) that is not updated, you inherit the vulnerabilities of that AMI. The provider will not notify you to patch it will keep running the outdated software until you act.

A common practical mistake is to assume that the provider encrypts data by default. In most IaaS and PaaS services, encryption at rest is not enabled by default. You must manually enable it. For example, when you create an S3 bucket, objects are not encrypted unless you enable bucket encryption or use client-side encryption. The provider gives you the tools, but you must use them. Similarly, you must configure IAM roles and policies to grant least privilege access. If you give an IAM user full admin access or even full S3 access by mistake, you have created a security hole that the provider will not fix for you. The shared responsibility model means you own your access control decisions fully and completely.

What can go wrong is that new cloud users sometimes treat the cloud like a managed hosting service where someone else handles everything. They leave default passwords, open ports to 0.0.0.0/0, skip encryption, and fail to enable logging. These mistakes lead to breaches that are entirely the customer's fault. The provider will point to the shared responsibility model and say, 'We gave you the controls, but you did not use them.' Therefore, every cloud professional must know exactly which configuration decisions are theirs and must create processes to manage those decisions continuously. Use infrastructure as code tools like Terraform or CloudFormation to define secure configurations, and use security scanning tools to detect deviations. Understanding shared responsibility is the foundation of cloud security practice.

Memory Tip

Remember the one-liner: 'The provider secures the cloud, you secure what you put in it.' For exams, ask yourself: 'Is this a physical or operational control of the cloud itself? If yes, provider. Is this about my data, my code, or my user access? If yes, me.'

Covered in These Exams

Current Exam Context

Current exam versions that test this topic — use these objectives when studying.

Related Glossary Terms

Frequently Asked Questions

Is shared responsibility the same for every cloud provider?

Yes, the overall model is consistent across AWS, Azure, and Google Cloud. The provider secures the infrastructure, and the customer secures their data and configurations. The exact boundary may shift slightly based on the service model (IaaS, PaaS, SaaS) but the principle is universal.

Who is responsible for a data breach if the cloud provider's physical data center is broken into?

That is the provider's responsibility. Physical security of data centers is always the provider's duty under the shared responsibility model. If a breach occurs due to broken physical security, the provider is liable.

Do I still need to patch my virtual servers in the cloud?

Yes, if you are using IaaS like EC2 or Azure VMs. You are responsible for patching the guest operating system and applications. The provider patches the hypervisor and underlying hardware.

If I use a managed database like Amazon RDS, am I responsible for database backups?

No, the provider handles automated backups for managed databases. However, you are responsible for setting the backup retention period, restoring backups when needed, and protecting access to the backup data.

Does shared responsibility apply to on-premises data centers?

No. Shared responsibility is specific to cloud computing. In an on-premises data center, your organization is responsible for everything from physical security to application security, including hardware maintenance and patching.

Can I use a third-party security tool to help with my responsibilities?

Yes, but the ultimate accountability remains with you. You can use third-party tools for vulnerability scanning, intrusion detection, or encryption key management, but you are still responsible for ensuring those tools are configured correctly and that your data is protected.

Summary

Shared responsibility is the essential security framework that defines who owns which security controls in the cloud. The cloud provider always secures the physical infrastructure and the underlying platform layers, while the customer always secures their data, user access, and application configurations. The exact boundary changes based on whether you use IaaS, PaaS, or SaaS, but the customer's core obligations data, identity, and compliance remain constant. This concept is tested heavily in all major cloud certification exams including AWS, Azure, Google Cloud, CompTIA Cloud+, and CCSP.

Understanding shared responsibility is critical for real-world IT work because it prevents security breaches caused by misplaced trust. Many data breaches happen because customers assumed the provider was handling something that was actually the customer's job. By clearly knowing your responsibilities, you can implement proper controls, automate patching, enforce least privilege access, and meet regulatory requirements. Certification exams will ask you to allocate responsibility, analyze scenarios, and choose best practices based on this model. The key exam takeaway is to always remember that the customer is responsible for security in the cloud, and the provider is responsible for security of the cloud. Master this distinction, and you will avoid the most common cloud security pitfalls.