What is Cloud Data Security?
What is Cloud Data Security?
Cloud data security is the practice of improving data security and privacy when using cloud services. Within modern organizations, you store, transmit, and process data across multiple cloud services. Organizations use a range of techniques, controls, and tools to build the security and privacy of internal data and customer data in the cloud. Cloud data security helps you maintain a positive reputation and helps to meet your compliance goals.
Why is cloud data security important?
Here are some of the main reasons why cloud data security is important in business environments.
Data loss prevention (DLP)
Cloud data security involves reducing unwanted data disclosures, analyzing incoming traffic for signs of security events, and integrating practices that prioritize the security posture of your organization. By following data security best practices across areas such as identity and access management and network security, enterprises can help protect their cloud data and promote data loss prevention.
Regulatory compliance
There are a number of international data laws that mandate strong data protection, including in cloud environments. Regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) help protect the customer’s right to privacy, mandating that organizations protect personally identifiable information (PII) with strict controls.
Other industry-specific regulations, such as HIPAA and PCI-DSS, also require organizations to comply with a strict set of criteria to meet cloud data storage and protection standards.
Reduces unauthorized access
Cloud data security practices help to protect all cloud surfaces and assets from unauthorized access. By protecting your organization from unauthorized access, you reduce unwanted data disclosure, helping ensure that sensitive data remains accessible only to the authorized set of users.
Data privacy and consumer trust
Enforcing and upholding high standards for cloud data security also promotes customer confidence and trust. By continually protecting customer data stored in your organizational cloud, you can improve your reputation and help mitigate negative brand sentiment associated with inadvertent data disclosure or the misuse of private data.
What are the key considerations of cloud data security?
There are several key considerations you must address when developing and deploying cloud data security solutions.
Internal policies
Cloud data security practices are derived from the same carefully constructed security frameworks that your organization uses for on-premise data security management. When moving to the cloud and implementing cloud data security policies, you can look at existing security policies, compliance obligations, access controls, and data retention rules and extend them to this new environment.
There are also new considerations for cloud data security policies. For instance, you must consider the path that data takes at rest, in processing, and in transit, if you want to keep the data within your country at all times.
Compliance regulations
Cloud data security practices must adhere to all relevant data privacy and protection frameworks. For the majority of organizations, there are a handful of data security frameworks, such as the GDPR, that require essential compliance by law. To support your regulatory goals, you must maintain visibility into how you collect data, where you store it, how you encrypt it, and which parties can access it.
Cloud providers often offer frameworks that help streamline compliance, but it is your responsibility to ensure your organization meets these structures. For example, AWS supports 143 security standards and compliance certifications, including PCI-DSS, HIPAA/HITECH, FedRAMP, GDPR, FIPS 140-3, and NIST 800-171, helping customers meet compliance requirements worldwide.
Sensitive data
Sensitive data that you store with a cloud provider should receive higher levels of protection than less critical information. Sensitive data can include data types such as financial transactions or medical records. Sensitive data handling uses different systems, forms of encryption, and a higher degree of access controls. Labelling sensitive data within an organisation helps to apply these boundaries of data security automatically and to meet compliance obligations.
For instance, Amazon Macie discovers sensitive data in your AWS S3 cloud storage automatically.
Access controls in cloud infrastructure
Access control is one of the foundational pillars of data security and should extend into cloud data security management. Understanding who has access to specific data, using privilege levels to control data access, and strict access control systems are all essential elements of data security in identity and access management.
For instance, AWS Identity and Access Management (IAM) manages and scales workload and workforce access more securely in the AWS cloud.
Cloud service provider selection
Every cloud provider offers a distinct selection of data protection frameworks, policies, and controls. Before deciding on a cloud provider partner, be sure to read through their data protection policies and choose one that meets all your expectations. It’s essential to understand the Shared Responsibility Model, including the responsibilities of your organization and what the cloud provider offers in terms of compliance and cloud data protection management.
What are some cloud data security techniques?
Here are some of the most prevalent cloud data security solutions and techniques that help keep data in cloud systems safe.
Virtual private networks (VPNs)
Virtual private networks offer organisations the ability to create more secure pathways for data transfer between two locations. VPNs help protect data in transit by implementing an additional layer of security in encrypted communications. Cloud providers offer cloud-native VPN structures that you can configure to meet your specific needs.
Identity and access management (IAM)
Identity and access management (IAM) enables you to define who has access to specific data, the level of privilege required to interact with data, and the visibility of data storage systems.
Cloud IAM, such as AWS Identity and Access Management, provides tools such as multi-factor authentication and role-based access controls to manage user access and apply a granular level of information protection. IAM helps protect unauthorized access to data across your cloud data structures.
Encryption policies
Encryption is essential to managing the security of data, both at rest and in transit. Encrypting data according to leading standards such as AES-256 and TLS helps protect sensitive data from unauthorized parties. Include data encryption standards in your cloud data security framework as a baseline security measure.
Data controls
Data controls are technical and policy-based configurations that organizations adopt to maintain governance over data. For instance, logging and tracing controls can help show the flow of data throughout a system, IAM controls can examine who is accessing which files, and data residency controls can restrict all cloud data to a particular region.
Data residency
Data residency management, which refers to the geographical location where you store data, is a regulatory requirement for many prominent data protection frameworks. Leading cloud providers offer you the ability to select where you store data. Depending on your organization, industry, residency, and the data protection frameworks you follow, you can opt for single-region retention or multi-region storage.
Private cloud
Switching to a private cloud environment, where your organization has complete control over a dedicated cloud storage solution, can be a practical choice to enhance security in specific high-sensitivity environments. Owning a private cloud as a single tenant provides your organization with control over the hardware you use and your network configuration, minimizing any risks associated with shared data architecture.
Backups
Your business should ensure that it has a detailed automated backup process, which helps to preserve data integrity in the event of unexpected data loss or corruption. Many leading cloud providers offer integrated backup services, which you can use and configure in your disaster recovery planning process. Beyond establishing a backup and recovery process, your enterprise should also regularly test these environments for avoidable faults or errors.
Automatic deletion
A core part of many data protection compliance frameworks mandates that organizations cannot store user data permanently. Due to this requirement, you must implement automatic data deletion rules to remove any expired data or information that is no longer pertinent to your system.
Removing old data can also help enhance your cloud data storage security posture, as it reduces any unnecessary data exposure. Equally, in cloud environments, automatic deletion policies also help to manage and reduce data storage costs.
How can AWS support your cloud data security?
AWS is designed to provide a flexible and secure cloud computing environment.
With AWS, you own your data, you control its location, and you control who has access to it. We are transparent about how AWS services process the personal data you upload to your AWS account (customer data), and we provide capabilities that allow you to encrypt, delete, and monitor the processing of your customer data.
- Our EU Data Protection services help you meet European customer data protection requirements in the cloud. AWS services, product controls, and up-to-date standards management help you satisfy compliance requirements for regulatory agencies across the EU.
- Our Digital Sovereignty Pledge offers control over the location of your data, verifiable control over data access, the ability to encrypt everything everywhere, and the resilience of the cloud.
- The Privacy Features of AWS services include the ability for you to encrypt or delete your data, monitor its processing, and deactivate remote access.
Our cloud data security services include:
- Amazon Macie discovers sensitive data using machine learning and pattern matching, provides visibility into data security risks, and enables automated protection against those risks. Leveraging Amazon Macie enhances your cloud security posture.
- AWS Security Hub helps you gain visibility across your cloud environment through centralized management in a unified cloud security solution. AWS Security Hub CSPM (Cloud Security Posture Management) is a capability of Security Hub offering automated security best practice checks to help you understand your overall cloud security posture across your AWS accounts, including cloud data security.
Get started with cloud data security on AWS by creating a free account today.