security

Securing University Data: Best Practices and Solutions

In an era where data breaches and cyberattacks are increasingly common, universities are prime targets due to their vast repositories of sensitive data. This includes not only personal information of students, faculty, and staff but also research data, intellectual property, and financial records. Protecting this data is crucial, not only to safeguard individual privacy but also to maintain institutional reputation. This article delves into the best practices and solutions for securing university data, drawing on recent statistics and research to highlight the urgency and efficacy of these measures.

The Growing Threat Landscape

Universities have become attractive targets for cybercriminals due to the extensive and diverse types of data they handle. According to a report by Educause in 2022, 74% of higher education institutions reported experiencing data breaches within that year. This figure underscores the vulnerability of universities to cyber threats, which have only increased in sophistication and frequency.

In 2020, the COVID-19 pandemic further exacerbated these vulnerabilities as institutions rapidly transitioned to online learning environments. A study by the UK’s National Cyber Security Centre (NCSC) found a significant rise in ransomware attacks targeting universities, with 2020 seeing a 100% increase in such incidents compared to the previous year. This surge highlights the critical need for robust cybersecurity measures in higher education.

Best Practices for Securing University Data

  • Access Controls : Controlling who has access to sensitive data is fundamental to security. Universities should adopt role-based access control (RBAC) systems that limit data access based on the user’s role within the institution. Multi-factor authentication (MFA) should also be enforced to add an extra layer of security. A study by Microsoft revealed that MFA can block over 99.9% of account compromise attacks .
  • Encrypt Data : Encryption is a critical measure for protecting data both in transit and at rest. By converting data into an unreadable format without the decryption key, universities can ensure that even if data is intercepted, it cannot be read or misused. According to a report by Varonis, 17% of all sensitive files are accessible to all employees, highlighting the need for stringent encryption practices .
  • Regular Security Audits and Vulnerability Assessments : The National Institute of Standards and Technology (NIST) emphasizes the importance of continuous monitoring and improvement of security measures. Regular security audits and vulnerability assessments help identify and mitigate potential security risks. These audits should include penetration testing, security policy reviews, and the assessment of third-party vendors. 
  • Training for Staff and Students : Human error is a significant factor in many data breaches. Universities should strive for an implementation of comprehensive training programs to educate staff and students about cybersecurity best practices, such as recognizing phishing attempts, using strong passwords, and securing personal devices. According to the 2023 Verizon Data Breach Investigations Report, 85% of breaches involved a human element.
  • Backup Data Regularly : Regular data backups are essential to protect against data loss from cyberattacks or hardware failures. Universities should implement a backup strategy that includes offsite storage and frequent testing of backup and recovery processes. 

Technological Solutions for Data Security

  • Endpoint Detection and Response (EDR) : Endpoint Detection and Response (EDR) tools provide continuous monitoring and response to advanced threats on endpoints such as laptops, desktops, and mobile devices. These tools can detect and mitigate threats that traditional antivirus software might miss. According to a report by McAfee, EDR solutions can reduce the time to detect and respond to threats by 50% .
  • Data Loss Prevention (DLP) : Data Loss Prevention (DLP) solutions help prevent sensitive data from being inadvertently or maliciously shared outside the organization. DLP tools monitor and control data transfers, ensuring compliance with data protection regulations. A Ponemon Institute survey found that DLP implementation can reduce data breach costs by up to 50% .
  • Security Information and Event Management (SIEM) : Security Information and Event Management (SIEM) systems collect and analyze data from various sources to provide a comprehensive view of an organization’s security posture. SIEM solutions can identify potential security incidents in real-time and enable rapid response. According to a study by SANS Institute, organizations using SIEM systems reported a 63% reduction in the impact of security incidents .
  • Regular Software Updates and Patch Management : Outdated software can have vulnerabilities that are easily exploitable by cybercriminals. Universities should establish a robust patch management process to ensure that all software and systems are regularly updated with the latest security patches. The Ponemon Institute’s 2020 Cost of a Data Breach Report found that organizations with fully deployed security automation, including automated patch management, saved an average of $3.58 million per breach.
  • Cloud Security Solutions : With the increasing adoption of cloud services for data storage and applications, universities must prioritize cloud security. Cloud Security Solutions help monitor and manage data across various cloud services. According to a report by McAfee, organizations see a 50% reduction in security incidents related to cloud services.
  • Self-Hosted Digital Collaboration Tools : In the wake of increasing cyber threats, self-hosted digital collaboration tools have emerged as a secure alternative to cloud-based solutions. Self-hosted tools offer greater control over data security and privacy, as the data remains within the organization’s infrastructure.
  • Dedicated Databases on Client Servers : A significant advantage of self-hosted solutions is that each university maintains its database on its own servers. This ensures that the database is not shared with other clients, eliminating the risks associated with multi-tenant environments where data breaches can affect multiple users. By keeping data on dedicated servers, universities can enforce their own security policies and controls, ensuring that their specific requirements are met without compromise.
  • Customizable Network Security : With self-hosted solutions, universities gain full access to network security roles. The flexibility to customize network security ensures that universities can address their specific threats and vulnerabilities more effectively than with a one-size-fits-all solution.
  • Real-Time Network Traffic Monitoring : Universities can deploy monitoring tools to track data flows and detect any suspicious activity promptly. This proactive approach to security helps in identifying potential breaches before they cause significant damage. Real-time monitoring also provides valuable insights into network performance, aiding in both security and operational efficiency.
  • Full Authority Over Security Configuration : Universities can define and enforce their own security protocols, ensuring compliance with both internal policies and external regulations. This full control allows for the rapid implementation of security patches and updates, minimizing vulnerabilities and enhancing the overall security posture of the institution.

CollabMatrix: A Secure Collaboration Solution 

At Raznameh Group we offer a self-hosted digital collaboration tool CollabMatrix, designed to meet the specific needs of universities and other educational institutions. CollabMatrix provides a secure platform for communication, file sharing, and project collaboration, ensuring that sensitive data remains protected.

Key Features of CollabMatrix

  1. End-to-End Encryption: CollabMatrix uses end-to-end encryption to ensure that data is secure during transmission and storage.
  2. Role-Based Access Control: The platform allows administrators to define access levels based on user roles, ensuring that only authorized personnel can access sensitive information.
  3. Data Residency: With CollabMatrix, universities can choose where their data is stored, ensuring compliance with local data protection regulations.
  4. Audit Logs: The platform provides comprehensive audit logs to track user activities and detect potential security incidents.
  5. Integration with Existing Systems: CollabMatrix can be seamlessly integrated with existing IT infrastructure, providing a unified solution for data security and collaboration.

By choosing a self-hosted solution like CollabMatrix, universities can enhance their data security posture and maintain control over their sensitive information.

Conclusion

As cyber threats continue to evolve, universities must remain vigilant and proactive in their data security efforts. By embracing emerging technologies and continuously updating their security practices, universities can protect their valuable data assets and ensure a secure learning environment for all stakeholders.

Self-hosted digital collaboration tools like CollabMatrix offer a secure alternative to cloud-based solutions, providing greater control over data security and privacy. By adopting these best practices and solutions, universities can safeguard their data, maintain trust, and continue to focus on their primary mission of education and research. 

Alina Temirzhanova

Sales and Marketing

Raznameh Group

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Different types of software testing can be executed into your product

Unit Testing: 

Unit Testing is done to check whether the individual modules of the source code are working properly. i.e. testing each and every unit of the application separately by the developer in the developer’s environment. 

User interface testing

User interface testing is a process used to test if the application is functioning correctly. UI testing can be performed manually by a human tester, or it can be performed automatically with the use of a software program.

Integration Testing: 

Integration Testing is the process of testing the connectivity or data transfer between a couple of unit-tested modules.

System Testing (End to End Testing):

It’s black box testing. Testing the fully integrated application is also called as an end to end scenario testing. To ensure that the software works in all intended target systems. Verify thorough testing of every input in the application to check for desired outputs. Testing of the user’s experiences with the application.

Acceptance Testing: 

To obtain customer sign-off so that software can be delivered and payments received. Types of Acceptance Testing are Alpha, Beta & Gamma Testing.

Performance Testing

Performance testing is one of the most neglected testings in companies due to its time and cost as well. Moreover, in many requirements document the quality performance requirements are not well defined to ensure system scalability. It examines responsiveness, stability, scalability, reliability, speed, and resource usage of the software and its infrastructure

Performance testing can be done by applying:

  • Load testing: checks how systems function under a heavy number of concurrent virtual users performing transactions over a certain period of time.
  • Stress testing: Stress limits of the system (maximum # of users, peak demands, concurrency)
  • Timing testing: Evaluate the time to perform a function and the response times to return the results.
  • Environmental testing: It is about the tolerances for heat, humidity, motion, portability
  • Recovery testing: It tests the operation of the system in case of data loss or hardware crash.

Regression Testing

At most software projects, there are changes in requirements, and new features are added as well. It is important to perform the new features’ test cases, but It is more important to ensure that it does not affect other tested features and functions.

Regression testing is performed to determine if the software still meets all of its requirements in light of changes and modifications to the software. Regression testing involves selectively repeating existing validation tests, not developing new tests. The most common approach to regression testing is to simply repeat the system tests. Therefore, the best to do that by using automated testing tools and techniques

Usability Testing

it is a technique used in user-centered interaction design to evaluate a product by testing it on users. This is in context, the usability inspection methods where experts use different methods to evaluate a user interface without involving users and ensure that it is usable in terms of design colors, fields and information places, A/B test, how it takes to understand the system and use it.

Security Testing

Security became a very hot topic recently especially after cloud adoption, The goal of security testing is to identify the threats to the system and measure its potential vulnerabilities. It also helps in detecting all possible security risks in the system and helps to fix these problems earlier before going to production. I wrote a lot of articles on security testing.

Software testing is defined as an activity to check whether the actual results match the expected results and to ensure that the software system is Defect free.

What is the software testing

Software testing is a process, to evaluate the functionality of a software application with an intent to find whether the developed software met the specified requirements or not and to identify the defects to ensure that the product is defect-free in order to produce a quality product.

Software Testing is not important only for the software company, it is also important for the customer. Many of the customers nowadays are concerned about how the software companies are ensuring their software quality, what is the process to do that and so on.

why Software Testing is important:

  • The testing is verifying that the required functionality is working correctly and validating that every function meets the requirements and we delivered it to the customer as per the specifications. (Doing it right and deliver the right Things)
  • It is important to make sure that the system does not do anything that it is not supposed to do.
  • Effective testing will dramatically decrease the cost of the software.
  • Continuous learning for the team, the team will learn from defects, when the team discovers a defect in function or requirements even, they learn how to avoid that in the future. This will increase team maturity as well.
  • It can decrease the system failures, there are known disasters that have been reported due to insufficient testing.
  • Quality products and software will ensure a sustainable company reputation or it can turn it into an untrustworthy company.

Here are the benefits of using software testing:

  • Cost-Effective: It is one of the important advantages of software testing. Testing any IT project on time helps you to save your money for the long term. In case if the bugs caught in the earlier stage of software testing, it costs less to fix.
  • Security: It is the most vulnerable and sensitive benefit of software testing. People are looking for trusted products. It helps in removing risks and problems earlier.
  • Product quality: It is an essential requirement of any software product. Testing ensures a quality product is delivered to customers.
  • Customer Satisfaction: The main aim of any product is to give satisfaction to its customers. UI/UX Testing ensures the best user experience.

Any software should have its testing cycle mapped to the main development lifecycle activities. every testing cycle has some common activities, which are:

  • Requirements testing: mainly how to ensure that each requirement is testable.
  • Test planning: It is about how to plan the testing activities, estimate the effort, the required team, ..etc.
  • Writing Test Cases: In this activity, the testers start to write the testing scenarios and scripts, these scenarios should include unit, integration, system testing, ..etc.
  • Test execution: It is mainly about preparing the testing environment and starting testing execution
  • Testing feedback: after the execution, the testing results and defects report should be reported to the development team to start fixing them.
  • Defect Retesting: when the developer report that the defect has been fixed, it should be tested again by the testing team.
  • User Acceptance Test: this should be the validation activity with the end-users who will use the system to ensure that they are working correctly from the business perspective. This can be iterative as well after the customer reports some defects as well.
  • Testing Closure: It is important to know when we should stop testing, explore the testing findings, and learn from the cycle for the new testing cycles.

There are three types of software testing approaches.

White Box Testing:

It is also called Glass Box, Clear Box, Structural Testing. White Box Testing is based on the application’s internal code structure. In white-box testing, an internal perspective of the system, as well as programming skills, are used to design test cases. This testing is usually done at the unit level.

Black Box Testing:

It is also called Behavioral/Specification-Based/Input-Output Testing. Black Box Testing is a software testing method in which testers evaluate the functionality of the software under test without looking at the internal code structure.

Grey Box Testing:

The grey box is the combination of both White Box and Black Box Testing. The tester who works on this type of testing needs to have access to design documents. This helps to create better test cases in this process.

The following types of testing can be executed from Blackbox and Whitebox approaches:

  • Unit Testing: 
  • User interface testing
  • Integration Testing: 
  • System Testing (End to End Testing):
  • Acceptance Testing: 
  • Performance Testing
  • Regression Testing
  • Usability Testing
  • Security Testing

In the current digital age and the competitive software industry, it became essential to deliver not only the intended functionalities of the system but to ensure its scalability, agility, and modifiability. In order to reach this competitiveness in the market and to have qualified products, you need an efficient quality process of the software.

Security Within Your Development, Staging, and Production Environments

A typical development workflow has three environments: development, staging, and production. Some developers don’t view staging as an environment, but we included it here to give you a full scope of the process.

Development Environment

A development environment is on your computer. It’s the environment where you’ll conduct all your code development without touching the actual data. In development, you can test upgrades, new features, and improvements without impacting the customer’s view. You may find bugs along the way, but that’s what this environment is meant to discover.

Typical use-cases for a development environment include:

  • Building new features, extending existing features, and code refactoring.
  • Running integration tests. 
  • Debugging.

There are few restrictions on what developers can do in their development environment, and they are free to experiment with code until they are happy with it, at which point they will push it to the staging environment.

Staging Environment

The staging environment is a production-like environment to see how your code will perform. This is the final testing ground before the code is pushed into production. Staging environments are often used for:

  • Quality assurance and performance testing.
  • Vulnerability testing and risk analysis.  
  • Integration testing, to ensure that the code integrates well with services and databases the app depends on. 

Staging environments also give other developers, project managers, and clients an opportunity to examine software before it goes live. 

Because extensive testing takes place in the staging environment, it’s important that it is as similar to production as possible, including both the software and hardware. While it’s fine to host a development environment on a laptop, the staging environment should be on a server with the same hardware it will run on in production. 

Production Environment

In a production environment, systems go live and your developed code is released to end-users. You deploy completed code that has endured proper vulnerability testing and risk analysis. All of the testings are complete and there’s the expectation that you’ll find only minor bugs if any. Once it’s released, you’re relying on it as a profit source, so you want to make sure it’s secure

In theory, major bugs and software vulnerabilities should have been discovered before the code goes to production, but that’s rarely the case for complex software systems. It is likely that at least some bugs made it through testing, so organizations must design and implement network and data security systems that assume the existence of vulnerabilities. 

Importance of Security Throughout Dev, Staging, and Production

With multiple environments comes the difficulty of securely managing them. The best practice is to separate your development, staging, and production environments. This allows each to evolve at its own pace – maybe the development environment is testing out features that won’t be available in production for at least a year – and reduces the risk of cross-contamination. Any bugs discovered in staging, for example, will be contained within that environment and not spread any further. Most importantly, keeping your development, staging, and production environment separate will help protect data.

Security Concerns in DevOps

For organizations that use the DevOps approach, security is an even greater concern. It’s face-based, there’s more overlap, there’s automation – there are many reasons to implement and verify security processes in DevOps.

To preserve high-level compliance practices within your development, staging, and production environments, you can implement configuration management techniques, monitoring, and logging processes, and even integrate infrastructure as code or policy as code. You can set yourself up for success by performing regular code review during the development process, making changes proactively to all environments, confirming that you have limited access to the proper channels, or even engage in continuous penetration testing to ensure no vulnerability is overlooked. These practices will ensure you’re doing your due diligence to securely manage your various environments.

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What is Secure Software Development Life Cycle

Security is an important part of any application that encompasses critical functionality.
Security applies at every phase of the software development life cycle (SDLC) and needs to be at the forefront of your developers’ minds as they implement your software’s requirements.
It requires a mindset that is focused on secure delivery, raising issues in the requirements and development phases as they are discovered.


Let’s review 5 phases of the Secure Software Development Life Cycle
Phase 1: Requirements
In this early phase, requirements for new features are collected from various stakeholders. It’s important to identify any security considerations for functional requirements being gathered for the new release.


Phase 2: Design
This phase translates in-scope requirements into a plan of what this should look like in the actual application. Here, functional requirements typically describe what should happen, while security requirements usually focus on what shouldn’t.


Phase 3: Development
When it’s time to actually implement the design and make it a reality, concerns usually shift to making sure the code well-written from the security perspective. There are usually established secure coding guidelines as well as code reviews that double-check that these guidelines have been followed correctly. These code reviews can be either manual or automated using technologies such as static application security testing (SAST).
That said, modern application developers can’t be concerned only with the code they write, because the vast majority of modern applications aren’t written from scratch. Instead, developers rely on existing functionality, usually provided by free open source components to deliver new features and therefore value to the organization as quickly as possible.

Phase 4: Verification
The Verification phase is where applications go through a thorough testing cycle to ensure they meet the original design & requirements. This is also a great place to introduce automated security testing using a variety of technologies. The application is not deployed unless these tests pass. This phase often includes automated tools like CI/CD pipelines to control verification and release.


Phase 5: Maintenance and Evolution
The story doesn’t end once the application is released. In fact, vulnerabilities that slipped through the cracks may be found in the application long after it’s been released. These vulnerabilities may be in the code developers wrote, but are increasingly found in the underlying open-source components that comprise an application.


What are the benefits of Secure Software Development?
– Higher security
. continuous monitoring for vulnerabilities results in better application quality and mitigation of business risks.
Cost reduction. early attention to flaws significantly reduces the effort required to detect and fix them.
Regulatory compliance. encourages a conscientious attitude toward security-related laws and regulations. Ignoring – – them may result in fines and penalties, even if no sensitive data is lost.
– Development teams get continuous training in secure coding practices.
– Security approaches become more consistent across teams.
– Customers trust you more because they see that special attention is paid to their security.
– Internal security improves when SDL is applied to in-house software tools.

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What is Application Security Testing

Application security testing is the process of making applications more resistant to security threats, by identifying security weaknesses and vulnerabilities in source code.
AST started as a manual process. Today, due to the growing modularity of enterprise software, the huge number of open source components, and a large number of known vulnerabilities and threat vectors, Application security testing must be automated.


Static Application Security Testing (SAST)
Static Application Security Testing tools use a white box testing approach, in which testers inspect the inner workings of an application. Static Application Security Testing inspects static source code and reports on security weaknesses.
Static testing tools can be applied to non-compiled code to find issues like syntax errors, math errors, input validation issues, invalid or insecure references. They can also run on compiled code using binary and byte-code analyzers.

Dynamic Application Security Testing (DAST)
Dynamic Application Security Testing tools take a black-box testing approach. They execute code and inspect it in runtime, detecting issues that may represent security vulnerabilities. This can include issues with query strings, requests and responses, the use of scripts, memory leakage, cookie and session handling, authentication, execution of third-party components, data injection, and DOM injection.
Dynamic Application Security Testing tools can be used to conduct large-scale scans simulating a large number of unexpected or malicious test cases and reporting on the application’s response.


Interactive Application Security Testing (IAST)
Interactive Application Security Testing tools are the evolution of Static Application Security Testing and Dynamic Application Security Testing tools—combining the two approaches to detect a wider range of security weaknesses. Like Dynamic Application Security Testing tools, Interactive Application Security Testing tools run dynamically and inspect software during runtime. However, they are run from within the application server, allowing them to inspect compiled source code like Interactive Application Security Testing tools do.
Interactive Application Security Testing tools can provide valuable information about the root cause of vulnerabilities and the specific lines of code that are affected, making remediation much easier. They can analyze source code, data flow, configuration and third-party libraries, and are suitable for API testing.


Mobile Application Security Testing (MAST)
Mobile Application Security Testing tools combine static analysis, dynamic analysis and investigation of forensic data generated by mobile applications. They can test for security vulnerabilities like Static Application Security Testing, Dynamic Application Security Testing and Interactive Application Security Testing, and in addition address mobile-specific issues like jailbreaking, malicious wifi networks, and data leakage from mobile devices.


Software Composition Analysis (SCA)
Software Composition Analysis tools help organizations conduct an inventory of third-party commercial and open source components used within their software. Enterprise applications can use thousands of third-party components, which may contain security vulnerabilities. Software Composition Analysis helps understand which components and versions are actually being used, identify the most severe security vulnerabilities affecting those components, and understand the easiest way to remediate them.


Runtime Application Self-Protection (RASP)
Runtime Application Self-Protection tools evolved from Static Application Security Testing, Dynamic Application Security Testing and Interactive Application Security Testing. They are able to analyze application traffic and user behavior at runtime, to detect and prevent cyber threats.
Like the previous generation of tools, Runtime Application Self-Protection has visibility into application source code and can analyze weaknesses and vulnerabilities. It goes one step further by identifying that security weaknesses have been exploited, and providing active protection by terminating the session or issuing an alert.
Runtime Application Self-Protection tools integrate with applications and analyze traffic at runtime, and can not only detect and warn about vulnerabilities but actually prevent attacks. Having this type of in-depth inspection and protection at runtime makes Static Application Security Testing, Dynamic Application Security Testing and Interactive Application Security Testing much less important, making it possible to detect and prevent security issues without costly development work.