Data Security In The Cloud: Strategies For A Safe Migration

Published on: 19 October 2023 Last Updated on: 29 November 2023
Data Security

With the rising prevalence of cloud computing, businesses are increasingly looking to migrate their operations, applications, and data to the cloud. While cloud migration offers numerous advantages like scalability, flexibility, and reduced IT costs, it also introduces new challenges, especially when it comes to data security. Given the increasing frequency and sophistication of cyberattacks, ensuring data security during a cloud migration is paramount.

In this post, we’ll explore essential strategies for ensuring a secure migration to the cloud. By following these strategies, businesses can mitigate risks, maintain compliance, and guarantee the integrity of their data.

The Advantage Of Cloud Storage Technology 

Cloud storage technology has its own benefits, and due to this, the stakeholders are looking to get the best out of the technology and shifting from the present ecosystem to that of the cloud system. So, one needs to understand how cloud technology works. So, let’s understand it here. 

Accessibility And Redundancy 

Accessibility of data is indeed one of the areas in which stakeholders work. Hence, to get the best data accessibility, one has to integrate rather than connect the local storage to that of the high-capacity network devices. The following infrastructure requires maintenance and service without any halt. Now, you can get the benefit only if you have a cloud system network in place.

Data Redundancy is one of the issues that creates big trouble. But if you win over it, you eliminate storage problems. If redundancy affects your storage system, then the redundant data will eat up space.  

Security Of Data 

Like the redundancy of data, the security of the data has been one of the major concerns for the providers of cloud storage. Afterall, you are not going to ask someone for protection. Malicious elements steal amounts to millions of dollars. However, with cloud storage, data theft can be prevented. This is because data is stored in a distributed ledger across a wide network of computers in cloud storage technology. It diminishes the chances of hackers of malicious elements stealing data from the system. 

Essential Strategies To Ensure Safe Migration To The Cloud 

Cloud technology, indeed, has its own benefits. They are indeed great from the point of view of data security, which is a major threat today. However, we discuss some ways you can successfully move on to the cloud framework.

1. Conduct A Comprehensive Data Assessment

Before initiating any migration, it’s crucial to understand what data you have, where it resides, and how sensitive it is. This involves categorizing data based on its importance and sensitivity. Some data might be public and non-sensitive, while other datasets might contain personal or proprietary information.

Consulting with a company such as DoiT International regarding your cloud migration strategies is likely a very smart move. Doing so can help mitigate risks associated with vulnerabilities and security and help ensure a proper migration takes place.

2. Choose The Right Cloud Service Provider

Cloud Service Provider

Not all cloud service providers (CSPs) are created equal. Before selecting a CSP, conduct a thorough evaluation of its security measures, compliance certifications, and track record. Reputable providers should have established protocols for data encryption, regular security audits, and robust access controls.

3. Encrypt Data At Rest And In Transit

Data encryption is fundamental when moving to the cloud. Make sure that your data gets the encryption, both while it’s stored (at rest) and as it’s being transferred (in transit). 

Most CSPs offer encryption services, but it’s always a good idea to be familiar with the  encryption methods under practice. It  ensures that they align with industry best practices.

4. Implement Strong Access Controls

Ensure that access to your data in the cloud gets the restriction from  personnel under authorization only. This involves setting up user authentication processes, managing user roles, and regularly reviewing and updating access permissions. Multi-factor authentication (MFA) is an added layer of security that should be employed to safeguard access further.

5. Regularly Backup Your Data

While cloud platforms are  robust and redundant, it’s always wise to have a backup strategy in place. 

Regular backups ensure that, in the event of any data loss or breach, you can restore the data quickly.  This not only protects your business operations but also builds trust among stakeholders.

6. Monitor And Audit Regularly

Continuous monitoring and regular audits of your cloud environment can identify suspicious activities or potential vulnerabilities. Automated monitoring tools can provide real-time alerts for any unusual activity, and periodic audits can ensure compliance with security standards and protocols.

7. Educate Your Team

Your employees play a critical role in data security. Ensure they are educated about the best practices for cloud security, the risks associated with data breaches, and the protocols to follow in the event of a security incident. A well-informed team is your first line of defense against potential threats.

8. Ensure Compliance With Regulations

 cloud migration

Different industries have varying regulations concerning data security. Whether it’s GDPR for European entities, HIPAA for healthcare in the US, or any other regulation, ensure that your cloud migration and subsequent operations remain compliant. This will safeguard your data and protect your business from potential legal repercussions.

9. Establish A Disaster Recovery Plan

While every effort should be made to prevent security incidents, having a disaster recovery plan in place is equally crucial. This plan should outline the steps to be taken in the event of a breach or data loss, ensuring rapid response and minimizing potential damage.

10. Stay Updated

The world of cybersecurity is ever-evolving, with new threats emerging regularly. Stay updated with the latest trends, threats, and best practices. Joining industry groups, attending webinars, or even setting up Google alerts for cloud security news can help you stay informed and prepared.


Migrating to the cloud offers a plethora of advantages for businesses in the modern era. However, ensuring data security during this migration is crucial. By implementing the strategies mentioned above, businesses can confidently move to the cloud, ensuring the safety and integrity of their data.

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Ankita Tripathy loves to write about food and the Hallyu Wave in particular. During her free time, she enjoys looking at the sky or reading books while sipping a cup of hot coffee. Her favourite niches are food, music, lifestyle, travel, and Korean Pop music and drama.

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Process Mining and Data Privacy – Key Points to Remember

The global pandemic of 2020 was challenging for frontline workers, the public, and businesses. Besides a dwindling economy, governments and organizations suffered various setbacks, including exponential data thefts. Security incidents became more costly and harder to contain for the latter due to a drastic operational shift. As per experts, the cost of a data breach reached a record high, shelling $4.24 million per incident on average from affected ventures. As more businesses migrate to the digital world, data security becomes a reason for severe migraine for owners. Keeping the incidents and the present situation in mind, the European Union introduced the General Data Protection Regulation (GDPR) for improved data privacy controls for EU citizens. GDPR requires a thorough evaluation of every software application before its implementation to prevent possible data breaches and loss of customers, employees, and corporate data. Automatically, business process management solutions, like process mining, RPA, automated process discovery, and others, fall under the tight scrutiny of GDPR data privacy guidelines. Process Mining in Business Process Management – A Brief Overview Process mining is an intelligent technology solution enabling owners to build a reliable visual map of business processes elaborating how every task within a process is executed. It captures employee-software system interactions and converts data into event logs. This provides an overview of end-to-end processes. Process mining tools provide task and process insights to evaluate task executions for scaling improvement opportunities. These insights also support informed decision-making pertaining to process efficiencies and complexities. Process mining bridges the gap between traditional model-based processes and data-centric processes for further analysis. There are three basic types of process mining; namely, process discovery to discover a process model capturing the behavior in an event log (collection of events), conformance checking for identifying commonalities and discrepancies between a process model and an event log, and process re-engineering to improve a process model using event logs. In a human-centric process, each event comprises a case identifier, an activity name, a timestamp, and optional attributes such as resources or costs. Usually, a case identifier refers to individuals and includes much personal data. And herein lies the significance of improving data security. The Importance of Data Security in Process Mining Automated process mining relies heavily on enterprise data and captures confidential information about the company or the clients. Data collected during the mining of processes are categorized under the following datasets: Key identifiers: These datasets contain unique information identifying individuals, such as their full names and social security numbers. Quasi-identifiers: These datasets are considered indirect identification of individuals—for example, gender, age, and postal code. Sensitive attributes: Information related to salary, payment, financial statements, and others are private and sensitive for individuals or companies. Insensitive attributes: These datasets contain general or non-risky information not covered by the other features. Given the confidential and sensitive nature of the above-mentioned data, attention to cybersecurity in process mining has gained momentum recently. Also, third parties can offer the latter; therefore, choosing providers with secure products and processes is equally crucial. Any breach in data security can prove costly for the company owners and tarnish customer/client/partner relationships. But the shared responsibility of protecting critical information should rest upon employees. After all, it is said that the usual source of security incidents are current employees and, in certain instances, ex-workers. Respective teams, while handling information, should protect sensitive data at every step of task execution. In order to achieve the same, decisions regarding data transparency and usage should be made aforehand. Most specifically, such decisions involve the type of data used, data extraction methods, data accessibility, data protection, and compliance requirements. On the other hand, process mining can be leveraged to detect silent internal attacks on data. It can quickly identify abnormal behavior in the company’s internal network and indicate apparent security breaches. Therefore, data is integral to process mining, and the security of which should be the core objective of software applications and associated teams. Key Privacy Metrics in Process Mining In order to evaluate the privacy of specific data, owners should decide on particular metrics for measurement. These privacy metrics tally the security level of each data in terms of disclosure and are broadly categorized under the following sub-heads: Bounded knowledge: Data is restricted with specific rules to avoid disclosing confidential information. Need to know: The unnecessary data is eliminated from the system to prevent any breach. This metric controls data access. Protected from disclosure: Data confidentiality is observed during data mining using the classification method. Data quality metrics: These metrics measure the loss of information/benefit, while the complexity criteria validate the efficiency and scalability of different techniques within this scope. Process Mining and Data Capture – Key Points to Consider Since process mining extracts granular data at the process level, care is taken to ensure that any new process doesn’t come into conflict with personal data policies. Owners should also ascertain that software solutions for mining processes comply with the specific data security requirements. Therefore, people involved with the entire system must consider a few data capture points. Access to raw data: The process mining team requires access to corporate data to understand what’s most important for analysis. Here, the company can choose and grant access to specific datasets for further research. Choose the right strategy: Besides mining processes for raw insights, the team also translates the raw data into broad terms and updates it into dashboards. Later on, the respective team can decide what features to focus on. Filter: Occasionally, the company tracks information that doesn’t require further analysis for specific processes. In this case, the data can simply be omitted from the system. Datasets that are sensitive or do not directly impact the business analysis outcome are deleted to maintain the focus only on valid and relevant data. Pseudonymization: Encrypting the information to protect the confidentiality of sensitive information prevents users from correlating them to real data specific, like specific names, addresses, or other PII data. For instance, if the company wishes to maintain secrecy about employees directly involved with process-related tasks can follow this approach. Here, the case identifier’s name is replaced with numbers. Anonymization: This is similar to pseudonymization, where the names are replaced with unique pseudonyms instead of numbers. Hence, unauthorized users cannot identify individuals’ names or confidential information about them from the available data. Conclusion Besides handling data in bulk daily, enterprises using online systems leave behind their digital footprints. These footprints are valuable data captured by process mining to examine how employees execute each process and sub-tasks. Needless to say, mining for such insights is done with the company’s best interests in mind, namely, to optimize operations and resources and derive maximum value. However, such datasets carry sensitive information of various interested parties, any breach of which can prove highly hazardous for all. Therefore, data is the primary source for process miners to carry out their objectives, but the company must ensure the data is handled with care. Hence, data security is a significant factor in process mining. Have A Look :- How to Get Copy of a Divorce Decree 7 Secrets To Make Your Baby Fall Asleep Faster All That You Need To Keep In Mind Before Selling On Facebook

Mobile Testing With Appium

Mobile Testing With Appium On Lambdatest

Worldwide, there has been a sharp increase in the number of mobile application downloads. Organizations aim to increase user engagement for their applications by releasing new features every few weeks to gain a foothold in this market. This increases the pressure on testing organizations to publish thoroughly tested mobile applications to increase user engagement. To accomplish this, they must have a testing process that not only delivers applications that are free of bugs and function well but also has more thorough coverage. Naturally, automated mobile testing is becoming necessary to satisfy these demands. Automation testing is advantageous for all applications, including web and mobile ones. Appium is the most widely used automation tool for testing mobile applications out of the many available options. Appium is a free and open-source test automation tool that aids in automating mobile app testing to provide users with a high-quality application and a better user experience. The use of Appium on LambdaTest for mobile testing will be covered in this article. Before getting there, let's quickly review what mobile testing is and why Appium is utilized for this purpose. What Is Mobile Testing? The use of smartphones and mobile technology is growing exponentially. People find it difficult to see their lives without them. Today, we use mobile devices for practically everything, from grocery shopping to viewing films. To survive in the competitive market, mobile app testing has become imperative. Mobile testing guarantees that the apps and smartphones are safe, reliable, and easy to use. Several tests are conducted on mobile devices to evaluate an application's reliability, functionality, and usability. Mobile testing can be divided into testing of mobile applications and testing of mobile devices. Mobile device testing verifies and validates both the physical components and software aspects of a device to authenticate its quality. It evaluates aspects like the screen, apps, camera, etc. On the other side, mobile application testing is a procedure used to test applications that are being created for mobile devices. The primary goals are to test the apps' usability, stability, and functioning. It makes sure that the chosen application, in terms of connectivity, hardware, and software, is compatible with the chosen device. For an app to survive in the market today, mobile application testing is essential. The application is also tested in numerous other areas, such as its performance, security, and UI, to provide the best quality for the end users Types Of Mobile Apps There are three primary categories of mobile applications: Native mobile apps Native applications are platform-specific. In other words, they were created for a particular platform or operating system. It may be a Windows SDK, Android SDK, or iOS SDK. They have the extra benefit of being faster and more dependable in terms of performance because they concentrate on a single OS, but they are expensive to maintain. Such programs include Skype, Google Maps, and Snapchat, for instance. Mobile Web Applications Only mobile browsers are compatible with mobile web applications. They are accessible through mobile web browsers like Chrome and Safari. They are created using web-based languages like HTML, CSS, and JavaScript. Additionally, it is inexpensive and does not need users to install or update it. These include websites like AliExpress, OLX, Flipkart, etc. Hybrid Mobile Applications Native and web-based mobile apps are combined to create hybrid mobile apps. They can operate through browsers but can also be installed on native application devices. These apps are easy to create and affordable, but they lack the speed and power of native apps. These include services like Instagram, Uber, Gmail, etc. Now to test these apps many testers and developers leverage automation test tools like Appium. Let's quickly define what Appium is. Appium Appium is a free, open-source, cross-platform test automation tool that uses the common WebDriver library to automate test cases for web, native, and hybrid applications. It primarily focuses on testing mobile applications while utilizing the same API across several mobile operating systems, such as Android and iOS. The most popular mobile testing tool, Appium, offers simplicity, flexibility, and cost-friendliness for delivering the best user experiences with the continuous delivery method. It is used for quick and reliable testing across numerous platforms and devices. Numerous programming languages, including Java, JavaScript, Python, PHP, Ruby, C#, etc., are supported by Appium. This gives testers the freedom to create test scripts in any programming language they choose.  With its many features, mobile testing with Appium has quickly become popular in the mobile application organization. Why Use Appium Appium continues to be the top option for mobile app testing, regardless of whether the application is native, hybrid, or mobile and operating on Android, iOS, or Windows. By providing scalability and flexibility, Appium significantly improves the effectiveness of testing for mobile apps. It stands out as the best possible choice for testing mobile applications due to its broad feature set. Let's examine a few of its attributes. It allows for the flexibility to write test code in a variety of programming languages, including Java, JavaScript, PHP, Ruby, Python, and C#, and it can automate any mobile application created in any of these languages. Appium allows test automation scripts to run simultaneously on various Android or iOS sessions. This ensures scalability while accelerating the testing process. It has a built-in UI Automator that enables thorough examination of mobile apps while producing thorough logs and reporting structures for a better understanding of test results and enhanced troubleshooting. Appium offers the reuse of the same code for many device platforms, including iOS, Android, and Windows, which saves a significant amount of time and work. It provides versatility in allowing users to select their testing environment and device by allowing testing of mobile applications on emulators, simulators, and real devices in the cloud. It provides cross-platform compatibility, making it possible for the same tests to run on many platforms, expanding the coverage. It provides real-time test monitoring that enables collaborators to see and share device interactions using the integrated collaborative screen-casting capability, thus strengthening the execution of tests. Appium smoothly integrates with the TestNG testing framework, providing a greater number of capabilities. Through test scripts, it gives QAs complete access to the databases and back-end APIs. This aids in evaluating errors that originate from databases or back-end APIs. Why Use Lambdatest For Appium Tests? As is already known, Appium enables the testing of mobile applications on emulators and simulators. However, keep in mind that emulators and simulators are completely insufficient for testing at the final stage. They are unable to duplicate several device features that are required to optimize the app for unfavorable events, such as low power, unstable network, IP geolocation, and many more. Therefore, executing Appium tests on real device cloud is essential to provide conclusive, accurate results, make an app suited for working in actual user conditions, and ensure that the user experience is always at its best. However, it is highly challenging and expensive to set up an internal device lab that must be regularly updated and maintained for both the newest and older versions. Therefore, using a cloud-based testing platform like LambdaTest is recommended because it makes thousands of real devices instantly accessible for testing. Appium and LambdaTest, an AI-powered test orchestration and execution platform, can work together seamlessly. As a result, testers can scale their existing testing across several platforms and develop, run, and analyze their test automation with Appium on LambdaTest's real device cloud. Additionally, QAs can use Appium on the LambadTest real device cloud to do manual and automated app testing. LambdaTest enables testers to run Appium tests by offering online cloud-based access to more than 3000 real devices, browsers, and operating system combinations online.  As a result, testers may meet deadlines more quickly and with less setup time. The Appium automation testing on LambdaTest can assist with: Simplify the entire CI/CD process, make it simple to write reliable Appium scripts, and minimize the complexity of test frameworks. Support numerous mobile devices for parallel testing to speed up test execution and guarantee the best app performance across a range of devices, networks, and geographical regions. Test apps on actual remote devices in real-world conditions to speed up development and quickly find and fix major flaws. Additionally, LambdaTest offers a wide variety of advanced features that facilitate easy-to-use, effective testing. Here are a few of these features: It has an inbuilt mobile inspector that makes it simple for testers to check the components of an app. Additionally, it enables them to record their test procedures from the same location. It enables seamless integration with well-known technologies like Circle CI, Jenkins, Bamboo, and others to speed up DevOps and continuous delivery workflows. Gives testers access to a variety of debugging tools for Appium testing, including text logs, network logs, device logs, Appium logs, extensive reports, and accompanying screenshots and videos for both successful test execution and complete test failure. The test cases execution metrics reports can be retrieved whenever necessary from anywhere. This helps to support all remote team workflows. A mobile app can now be developed utilizing a variety of technologies and programming languages. Thus, another fantastic benefit of using LambdaTest is that it covers all of the key technologies and programming languages required to support a particular set of development practices. Furthermore, with LambdaTest, testers can benefit from manual cross-browser testing, automation testing, visual user interface testing, responsive testing, manual app testing, geolocation testing, and more, all with lifetime free access to LambdaTest. The Prerequisites To Use Appium There are a few prerequisites that must be installed on the system before automating apps with Appium. Downloading and installing the JDK (Java Development Kit) and the Appium Desktop/Server. Installing, and configuring the environment variable for Java. Installing the Android Software Development Kit (SDK) after downloading it. JAR file for Selenium Server. Setting up the Eclipse IDE. Having access to Google Play's APK app information. js installation is not necessary. Because "Node.exe" and NPM are included by default whenever the Appium server is installed. Integrating Appium With Lambdatest LambdaTest integration with Appium is necessary to utilize Appium testing fully. The following actions are necessary for the integration process: Visiting LambdaTest and creating an account. Acquiring the API credentials needed for Appium integration. The credentials will facilitate linking the LambdaTest cloud infrastructure and the Appium tests. Next, setting up and specifying the desired capabilities in the Appium tests to specify the device, operating system, browser, and any other essential factors that create the intended test environment and guarantee that tests are executed on the desired devices in the cloud. These configuration variables specify test environments and guarantee the smooth operation of the tests in such environments. The next step is configuring the test execution by including the appropriate capabilities and the LambdaTest endpoint URL in the Appium test script. By doing so, the platform and the Appium tests will be connected. Finally, run the Appium tests and keep track of their progress on the LambdaTest dashboard. The test results can then be analyzed to find any problems that require attention by examining the test reports, logs, and screenshots. Conclusion It may be concluded that due to Appium's cross-platform capability and simplicity of use, it has grown to be widely utilized in testing mobile applications for iOS and Android to meet the expectations of quick and dependable testing that spans numerous platforms, devices, and versions. In comparison to alternative testing techniques, Appium offers greater efficiency, flexibility, and cost-friendliness, empowering teams to deliver excellent user experiences while utilizing the continuous delivery methodology. It is advantageous to use Appium with a cloud testing platform like LambdaTest because it gives users access to automated test environments with cloud-hosted real mobile devices that are simple to use. The testing process is made more easy by having access to the vast array of functions offered by the cloud. Read Also: Which Is A Benefit Of Using Server–To–Server App Conversion Tracking Over An SDK? 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Cloud-Based Quality Management Systems

Benefits of Cloud-Based Quality Management Systems

Almost all the organizations in the world are making a transition to SaaS and are embarking on new cloud technology initiatives. As a matter of fact, by 2020 more than $1 trillion spending in IT will be affected by the shift to the cloud directly or indirectly. Any industry that does not have software innovation for several years, this thing is no different. The key area that can benefit from modernization with the assistance of cloud-based tech is Quality management system. The cloud eQMS is aligned with IHC Q10 guidance for a more effective quality system. More and more organizations are looking forward to improving access to better visibility and simplify control of GxP-critical processes; as a result, most of the organizations have started replacing the outdated technology with a modern cloud solution to reduce quality risks and hence improve productivity. When it comes to modernizing the quality management systems, the key aspects such as data integrity with multiple sites along with the external collaboration are valued highly. Many solutions in the market are disguised as ‘cloud’ aren’t actually a cloud, but in reality, these solutions are already present in the existing applications and are merely offered in an online hosted model. In simplified language, these applications are online versions of software and hence are not able to deliver all the benefits that the cloud industry has to offer. The Difference The only defining attribute of a cloud solution is multitenancy. Multitenancy helps enable secure deployment of only one particular version of the cloud to all the customers. It supports ongoing innovation that minimizes the burden on validation and IT. On the contrary, software hosted applications require the application supplier to maintain different versions of the software which in return results in infrequent upgrades that are time-consuming. Check out these eight characteristics of the cloud solution industry that address today’s needs for quality manufacturing: 1. Complete: A cloud-based application brings multiple solutions, such as quality management and document management for improved control. It helps in globally harmonizing a single system which means document processes and templates can be standardized which further reduces the risk of errors and duplication. 2. Innovative: With a multipurpose cloud solution, the providers make continuous investments to provide updates with the ongoing applications and keep up with the best practices the industry is following. This further increases agility of the business and shifts the focus to fine tune the applications to align to the business needs and all the applicable regulations are fulfilled such as 21 CFR Part 11. 3. Intuitive: Multipurpose cloud applications are nowadays intuitive and much easy to use. If you are managing document lifecycle and taking documents from draft through revision, approval, and the training is simplified with a cloud solution industry, it further encourages user adoption. 4. Inclusive: Organizations bring external stakeholders to internal businesses processes easily and reduce manual efforts and further improve collaboration. A multipurpose cloud solution gives any authorized user access at any time and from any device and place which enables the coordination of different businesses. 5. Accurate: Users can view real-time status and conduct analysis accordingly to identify areas for improvement with a unified cloud eQMS. This makes it easier to create regulatory reports and satisfy the upcoming needs for submitting quality metrics. 6. Flexible: Flexibility is one of the most critical aspects of any software. The system must be able to allow you to automate the process of collecting quality and conducting corrective actions on the events and provide document control. Some software are built on a generic approach which further can be modified but takes a whole lot of time and can also be costly to endure, this also addresses to an issue that the previous business processes need to be replaced with new ones and adapting to these changes can outweigh the initial costs of the system. 7. Scalable: A software ability to grow your business without affecting its overall functionality is known as scalability. As the enterprises are becoming more and more successful growth becomes a logical progression, and more successful your organization is the more business it will attract. When looking for a QMS for your organization, it becomes essential to consider the scalability of the system for future growth. 8. Visibility: There is so much data coming to the organizations, and sometimes it becomes difficult to make sure that proper visibility is maintained. A cloud-based QMS has a solution to this problem also and here comes the point where reporting tool shows its real skills. Cloud enables worldwide access for everyone providing access to the environment from any part of the world. The transition to the regulated cloud will gain momentum. Multiple cloud options are being made available, and at first glance, it may be difficult to decide on the best solution. With all users working on one same platform, and in a system that enables secure collaboration and enhanced visibility the gains are visible and are considerable. 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