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DevOps is an approach to software development that emphasizes collaboration and communication between development and operations teams. Some of the key advantages of DevOps are:

1. Faster development of solutions and time to market
2. Higher quality is achieved as defects in software development and coding is reduced. Tracking of tasks is also made easy.
3. There is good communication between the development and operation teams and thus any knowledge silos are broken down.
4. There is increased efficiency in the process and DevOps supports and builds agile processes.

As the importance of cybersecurity continues to grow, a new trend has emerged: DevSecOps. This approach emphasizes the integration of security practices into the DevOps process, ensuring that software is secure by design. This will thus help lock down defects and ensure that no separate process is required considering security aspects or vulnerabilities. It will also make the development process and architecture more robust.

The concept is not new, but has gained prominence due to significant security threats and compromises that have happened in recent years. With DevSecOps, security is built into every stage of the software development lifecycle, from design to deployment.

One of the key benefits of DevSecOps is that it helps organizations identify and address security vulnerabilities earlier in the development process. By integrating security testing and analysis into the development pipeline, organizations can catch security issues before they become more difficult and expensive to fix later in the process. This approach also helps to create a culture of security within the organization, where everyone involved in software development is responsible for ensuring that software is secure.

Another benefit of DevSecOps is that it can help organizations comply with regulatory requirements related to cybersecurity. By ensuring that security is built into the development process, organizations can more easily demonstrate compliance with regulations such as GDPR, HIPAA, California Security and Privacy Laws and PCI DSS.

DevSecOps also requires a shift in mindset from the traditional DevOps approach. Developers and operations teams must prioritize security and work together to identify and address security issues. This means that security professionals must be involved in the development process from the beginning, rather than simply conducting security audits after the fact. Specialized consultants and companies can also be involved to increase the knowledge pool and thus make the entire process sounder and more stable.

In summary, the advantages of shifting to DevSecOps are listed below.

1. Security is built into the system and development cycle
2. Easy to demonstrate compliance with various legal norms
3. Security issues are identified early and fixed
4. Increased collaboration and communication between various teams
5. Expensive remediation efforts in the event of a security breach are minimized

However, it is not very easy to shift to DevSecOps as it requires a fundamental change in mindset. A culture based on security must be created in the organization and security analysis and testing must be made a part of the development process. Automated tools may also need to be purchased to find out vulnerabilities. One must also have an understanding of the evolving cyber security challenges and the legal landscape and stay up to date with the latest trends and developments.

Why GRhombustech?

GRhombustech is a leading custom software development company in the UK and among the reputed cyber security companies in the UAE. Driven by passion, we have key partnerships with companies across the globe in different areas and thus have the capability to offer all-around solutions to customers. Our speciality lies in delivering tailor-made solutions for organizations, and we take pride in our collaborative approach and holistic thinking. 

Our team of experts serve clients across Europe, UK, USA, Middle East, and we cherish our long-term relationships with them built on values, engaging solutions and trust. GRhombus Technologies Private Limited is a subsidiary of GRhombus Consulting and has offices in Europe, with delivery centres in India.

Have some security needs or questions? Contact us now!

The term contactless technology refers to a group of special technologies that allow for communication or transactions without the need for physical contact between two objects or devices. Some of the examples of contactless technologies are:

1. Near Field Communication (NFC)
2. Radio Frequency Identification (RFID)
3. Bluetooth Low Energy (BLE).

Near Field Communication (NFC) is a short-range wireless communication technology that enables data exchange between two devices in close proximity. It is commonly used for data transfer between devices and for contactless payment. Any data transfer can be encrypted, thereby adding a higher layer of security.

The key advantages of NFC are:

1. It is a very simple technology to use and requires minimal setup time.
2. Data transfer can be encrypted.
3. It is supported by a wide range of devices and thus, there is higher versatility.
4. Data transfer speeds are quite good.
5. The power consumption is minimal or negligible.

RFID, or radio frequency identification, is a contactless technology that allows data to be transmitted wirelessly between a tag or label and a reader. This technology uses electromagnetic fields to automatically identify, and track tags attached to objects.

An RFID system typically consists of a tag or label, which contains a unique identifier and an antenna, and a reader, which emits a radio frequency signal that is picked up by the tag’s antenna. The tag then responds with its unique identifier, which is read by the reader and transmitted to a computer system.

The key advantages of RFID are:

1. RFID tags are durable unlike barcodes and can withstand harsh conditions.
2. They are an excellent choice for inventory tracking, especially when large volumes are involved.
3. RFID tags can store more information.
4. High levels of automation can be achieved using RFID and this reduces chances of human error.

Some of the common applications of contactless technologies are:

1. Access Control

Access control was one of the earliest adopters of contactless technologies. Such controls and control systems are commonly used in offices, hospitals, and other facilities to control access to specific areas or rooms. These systems usually involve an access card or fob that is waved over a reader to unlock a door.

2. Payment Systems

With QR codes revolutionizing payment systems, contactless payment systems have now become common place. It is also the same technology that finds applications in areas like making a payment by tapping a card, smartphone, or other device on a payment terminal.

3. Transportation

FastTag for toll payment is a classic example of application of contactless technology. Many public transportation systems like Metro Trains in major cities allow for contactless payment by allowing passengers to pay for their fare by tapping their card.

4. Healthcare

Contactless technologies are increasingly being used in the healthcare sector for applications such as patient identification, tracking medical supplies, and monitoring patient vital signs.

Overall, contactless technologies are powerful and versatile. They have revolutionized many industries like warehousing, payments and e-commerce and they continue to be adopted in new and innovative ways.

About GRhombus Technologies

GRhombus Technologies is among the leading EdTech companies in UK and cyber security companies in UK. Our insightful work and key implementation expertise have delivered powerful transformations to clients and created enduring value. We also offer test automation services in India and custom software development in UK. We are also well-versed in the Force.com development platform and can undertake key customisation and advanced automation functions based on the business needs. For more details, contact us.

Software and programming have revolutionised the way we work and have positively impacted human life at every level. Today, there is no field in the world that is immune to the software revolution.

Traditionally, software development proceeded on a monolithic architecture. In such a case, the entire system is developed as a single unified system. The codebase contained all the necessary components, such as the user interface, business logic, and data storage. Thus, all components shared the same memory space, and the entire application was running as a single process. This approach was easy to code and deploy especially for small scale software projects. However, as software projects became more complex and mission critical, such a monolithic approach had its inherent limitations. It was difficult to maintain the software and install patches and upgrades. Further, with increasing IT penetration and expanding user base, scaling up of systems was also a challenge.

Testing was difficult and making changes to one part of a system could have an impact on some other part. It was also difficult to trouble shoot in such cases, with testing also becoming cumbersome.

Considering the above limitations, many organizations moved away from a monolithic architecture to a more user and deployment friendly architecture like microservices or service-oriented architectures.

A microservice architecture is a type of software architecture wherein an application is composed of small, independent, and modular services. Each microservice performs a specific function and communicates with other microservices through well-defined APIs or any other light-weight protocol.

Some of the advantages of microservices are:

1. Robustness and Scalability

Microservices are usually small and self-contained. Hence, they can be scaled up or down as needed. This means that the application can handle varying levels of traffic and workload without impacting performance. Even if one part of the application fails, it does not bring the whole roof down (literally!).

2. Agility in application

Each microservice can be developed, deployed, and maintained independently, which allows for greater agility in the development process. Teams can work on different parts of the application without having to worry about breaking other parts, unlike in a monolithic architecture where all parts are held together as one unit.

3. Diversity in application of technology

Different services can be developed using programming languages, frameworks or technologies, depending on the specific requirements of each service. Thus, the best can be chosen for a specific function and this will deliver amazing results in overall performance.

Some very famous use cases of microservices being actively used are:

1. Amazon

Amazon actively uses microservices for application development and deployment.

2. Netflix

Netflix has over 500 microservices that run and is a great example of smooth performance even in conditions of high load or varying traffic volume.

3. Airbnb

Considering the business case of Airbnb, it is vital that users be notified on different devises and have a seamless experience right from logging in to making a booking. In such cases multiple channels and platforms being used, microservices are the best bet to success.

4. Best Buy

Best Buy was an early pioneer and started migrating to a microservices framework to manage and transform their e-commerce portal.

Overall, microservices offer a more decentralized approach, where each service can be updated and improved without disrupting the entire system. They are cheaper to develop and deploy and considering increasing complexity of software projects, microservices look to be among the safest and best methods forward.

About GRhombus Technologies

GRhombus Technologies is a leading software development company in UK. Apart from software development, we are also among the leading cyber security companies in UAE. GRhombus Technologies has established itself as a pioneer in Data Visualization, Edtech, IoT Testing, Salesforce Development and Cloud Testing. Driven by the guidance of experts with more than 25 years of industry experience, the GRhombus Technologies family now has over 200 employees.

For additional details, please contact us.

Datafication refers to the process of turning various aspects of everyday lives of people like their behaviour, transactions made, social interactions etc into data in a structured format. This data can then be analysed using various data-analysis techniques and advanced technologies to glean information.

Technologies and developments in the arena of big data, machine learning, artificial intelligence etc have led to the increasing popularity of datafication.

Understanding Datafication with an Example

GRhombus Technologies, the best custom software development UK has to offer and among the leading cyber security companies in UK has deep experience in this domain. To understand the concept of datafication easily, let us understand the same with an example.

Consider a common health/fitness tracker or a health watch. They commonly collect data like heartbeat and pulse rate, number of steps walked, sleep patterns etc. This raw data is then stored and analysed by the system and displayed in a mobile or desktop application. The user can then get insights into their health and get personalized recommendations based on available scientific facts to help enhance their lifestyle and improve well-being.

Now consider that this data collected from various individuals is pooled. This polling and aggregation will give a larger data set. By analysing this data set, one can get insight on the general health and well-bring of a population. This can in turn help set up public health policies, investigate scientific approaches to improve health, provide specialized healthcare etc. Thus, society can benefit as a whole by this process if used correctly.

Today, datafication has led to the development of new business models, services, and products that leverage data to generate insights, create value, and drive innovation.

Some of the advantages of datafication are:

1. Robust decision-making

Datafication can help organizations make better decisions because they have access to more accurate and up-to-date information. By analyzing data, companies can identify patterns and trends that would be difficult or impossible to identify otherwise. This is especially true in sales trends, personnel productivity etc.

2. Improvement in efficiency

With a study of the data available from datafication, one can automate processes and reduce the time and effort required for tasks such as data entry, analysis, and reporting. This can lead to significant cost savings and increased productivity.

3. Achieve customer delight

By collecting and analyzing customer data with the active permissions of customers, organizations can gain insights into customer behaviour and preferences. Thus, companies can offer custom solutions and delight customers with their offerings.

4. Innovation

By analysing the data, organizations can identify trouble spots and innovate to achieve value both for the organization and for customers.

5. Manage and mitigate risk

By analyzing data, organizations can identify potential risks and take proactive measures to mitigate them, reducing the likelihood of costly incidents. This is especially true in the financial domain where analysis of data can help prevent fraud.

GRhombus Technologies

GRhombus Technologies is a leading software development company in USA and has the best cyber security experts in the business. From smart devices to technology stacks, we have end-to-end capabilities in the IoT domain and Salesforce implementation.

We are led by a dedicated and experienced team and take pride in offering cutting edge solutions to any business challenge. We have helped many businesses unlock potential and deliver value.

For any additional queries or business needs, feel free to contact us!

The fifth-generation technology of mobile networks is known by the acronym of 5G has grown to become a world-wide phenomenon. With the Internet having become a part and parcel of everyday life and mobile phones ubiquitous, it is natural that technology keeps on evolving and its applications increasing steadily. 

In a nutshell, 5G is a wireless communication technology that uses higher frequency bands to transmit data at speeds that are significantly faster than 4G LTE networks.

Advantages of 5G include:

1. High Speed

High speed allows for greater data transfer, download and upload. High quality video streaming and gaming in real time with multiple players is possible.

2. Increased Reliability

Reliability is significantly higher than previous generations of mobile networks. This means lesser call drops and network downtime. Thus, mission critical applications can be run easily.

3. Capacity and Connectivity

5G supports a larger number of connected devices. Since the base technology is robust, there is lesser downtime.

4. Efficiency and Low Cost

Since the efficiency is higher, the overall operational cost is lower. This also helps in achieving sustainability initiatives.

5. Enhanced User Experience

Considering all of the above, there is an increased scope of new applications and user experience is also enhanced.

6. Enhances Security

Security in 5G is significantly higher than in 4G technology. 5G networks use more advanced authentication protocols than 4G networks, which makes it harder for unauthorized devices to gain access to the network. This includes improved mutual authentication between devices and the network, as well as more secure encryption. There is increased privacy because 5G makes use of anonymous network identifiers. This makes it harder for nefarious elements to track and identify devices on the network.

So what are the transformative effects of 5G technology? GRhombustech, with our deep experience in software development in UK, consider the below points:

1. Application in Surgeries and Healthcare

Since 5G networks have the capacity to offer much higher speeds than 4G networks (about 20 to 30 times faster), previously impossible applications like real-time remote surgeries find a possibility now.

2. Smart Cities, Autonomous Vehicles

Since 5G supports a large number of connected devices, heavy load applications with a large number of connected devices can now be made possible. Some scenarios where this occurs includes the concept of smart cities and autonomous vehicles.

Internet of Things (IoT), augmented reality (AR) and virtual reality (VR) will all require high speeds and reduced latency, which is what 5G offers. Hence the scope for applications in the above areas also vastly increases.

3. Security

5G offers increased security compared to previous technologies. Thus, there can be more applications for this technology, right from smart homes to industrial applications. 5G networks have more sophisticated network management capabilities than 4G networks. Thus, any security threat can be detected and responded to more quickly. Concepts like network slicing and enhanced authentication are built into the architecture of the network.

4. Innovation and Economic Impact

Since 5G technology facilities higher bandwidth and connections, a large number of industries can innovate by leveraging this technology. Scope for innovation is high because of the fast speed, lower latency and increased reliability in connections compared to previous generations of mobile technology.

This in turn will benefit industries by increasing productivity and achieving greater transparency in operations. It will also have a positive economic impact as consumers will benefit from any overall increase in process efficiency. Many industries like manufacturing, transport, entertainment etc can be revolutionized when this technology finds even greater commercial application.

About GRhombustech:

Grhombustech is an organization of professionals and a leading software development company in UAE, Edtech company in UK and cybersecurity company in USA. Our experts work closely with clients and handhold projects to completion.

Established in 2014, GRhombustech has delivery centres in India at Hyderabad, Chennai and Bengaluru along with partner offices located in the USA and the Netherlands. For additional details, please contact us.

Driverless cars (also known as autonomous cars or self-driving cars are the latest innovations in technology. Right from Uber to Google, a lot of companies including automotive companies are investing in this technology to make driving easy. It uses a combination of sensors, cameras, radar, and artificial intelligence (AI) to sense its environment, analyze data, and make decisions about driving actions.

The aim is to completely replicate the actions and decision making of a good driver and also allow for a human override function, which allows a person to take control of the vehicle in certain situations. However, though ambitious, this technology is difficult to master.

Why is Autonomous Driving Difficult to Achieve?

Decision-making complexity

It is well known that even simple actions human actions are difficult to replicate. Autonomous driving involves decision making based on complex data sets with inputs from multiple sources, including real-time sensor data, road maps, weather conditions and traffic patterns.

Timing

While decision making is complex, it should also be done within a short time to ensure safety of passengers, other road users etc. Sometimes, split second decisions may be involved.

Unpredictability

On-road scenarios and conditions can be unpredictable and change rapidly. From a pothole to crossing pedestrians, changing weather, sudden rains etc, the list of unpredictable scenarios that can arise is countless.

Safety Concerns

Passenger safety must never be compromised. Any hazards must be immediately identified, and action taken. This is also the case when the driver may doze off.

What is the role of AI in Autonomous Driving?

AI plays a critical role in autonomous driving. Right from sensing the external environment to data gathering analysis and decision making, everything must happen seamlessly. Self-driving cars rely on a variety of AI technologies, including machine learning, computer vision, and natural language processing, to operate safely and efficiently. They are explained in detail below:

Machine Learning

Machine learning algorithms are used to train self-driving cars to recognize and respond to different objects and situations on the road. An autonomous car must be able to differentiate between pedestrians, animals, objects, other vehicles etc. As self-driving cars collect more data and learn from their experiences, their algorithms become more accurate and effective.

Based on this data that is gathered, decision making must be done. Path planning and determination of the most safe and efficient route is also undertaken by machine learning. Autonomous vehicles require high-precision maps to navigate the roads. Machine learning algorithms can analyze sensor data and create detailed maps of the environment.

Another important parameter is determining the behaviour of the driver, detecting signs of fatigue and distraction and taking appropriate action.  A driver must always be alert and ready to take control of the vehicle if necessary.

Computer Vision

Computer vision allows autonomous vehicles to “see” the world around them using cameras, sensors, and other devices. Computer vision algorithms are used to interpret visual data from these devices and identify objects, people, and other relevant information in the environment.

It is used for detecting objects, lanes, traffic signals, obstacles, pedestrians etc and then decisions are made accordingly.

NLP

Natural language processing (NLP) is used to enable self-driving cars to communicate with passengers and other drivers. NLP algorithms allow self-driving cars to understand spoken or written commands and respond appropriately, for example, by adjusting the temperature or navigation route.

NLP involves speech recognition to understand verbal instructions and commands, understanding the emotions and intent, answering queries, text-to-speech conversion etc. It should also bring high levels of contextual awareness and gradually understand the driver/user’s behaviour to offer a custom solution.

Overall, autonomous driving is a very promising field and it is definite that with more advancements and research, 100% autonomous driving will be achieved in the future.

About GRhombustech

Grhombustech is a leading software development company in UK and has made a mark in various spheres like end-to-end Software Development, DevOps, Manual Testing, Automation Testing, and Security Testing. We are also a recognized leader in the domain of cybersecurity solutions. Grhombustech is dedicated to world-class customer service, innovations and cutting-edge solutions. For more details, contact us.

Human conversations and expressions have existed since time immemorial and in today’s world, communication plays a critical role in maintaining human relationships and understanding. Conversations need to be real for humans to add value to any endeavour. With the growth of AI and machine learning, chatbots are a new trend to emerge.

What is an AI chatbot?

An AI chatbot, or simply a chatbot, is a computer program designed to simulate a conversation with human users through text or voice interfaces. Natural language processing (NLP) and machine learning are used by bots to understand and generate appropriate responses.

Today, AI chatbots find wide-ranging applications from sales and customer support to searching on the Internet and personal assistants. The advantage of an AI chatbot over a rule-base chatbot is the ability to continuously learn and refine the responses supplied over time.

Advantages of AI chatbots

Availability

Chatbots can work 24 x 7 x 365 without human intervention and fatigue.

Efficiency

Since I chatbots continuously learn, the responses get precise over time. Further, AI technology can help process large amounts of data and analyse the same. It also makes economic sense to employ chatbots since high volume business needs can be easily satisfied.

Scalability

Once the model is perfected, the number of conversations that can be handled can be increased and accurate responses provided.

Some of the recent Chatbots that have become famous are:

ChatGPT

ChatGPT is a large language model developed by Open AI and backed by Microsoft. Using deep learning techniques, the system generates logical responses in a human-like fashion. Using the technique of natural language processing, it can access and communicate information effectively. Released in late 2022, it has been used widely all over the world and won plaudits for the way it responds to queries.

Microsoft Bing AI

This is an evolution of ChatGPT and has been released to select users for test. The main idea is that it will unite the search, indexing and ranking data from Bing with the artificial intelligence of GPT. This will help provide a holistic response to any query, add creativity and deliver a fuller user experience. The chat experience will help users to refine their ideas and arrive at a better clarity regarding the query.

Google Bard

Google is the worldwide leader in online search and Google Bard is the latest AI offering from Google, which is proposed to go live in March 2023. It is based on Google’s Language Model for Dialogue Applications (LAMBDA). Bard seeks to combine the breadth of the world’s knowledge with the power, intelligence and creativity of large language models. It draws on information from the web to provide fresh, high-quality responses and thus improve the user experience and save time. Moving forward, Google intends to create a suite of tools and APIs that will make it easy for anyone to build innovative applications with AI. 

However, it should be remembered that all AI tools, including chatbots have limitations and hence, must be used with caution. They do not have empathy and may not be able to answer all questions accurately or completely. They may not understand the context and if the data set for learning is not proper, then responses can be biased.

About GRhombustech

GRhombus Technologies, is among the leading EdTech companies in UK and cybersecurity companies in UAE. Apart from these areas, GRhombus has established itself as a pioneer in Data Visualization, IoT Testing, Salesforce Development and Cloud Testing. Driven by the guidance of experts with more than 25 years of industry experience, the GRhombus family now has over 200 employees spread all over the globe. We have delivery centres in India and partner offices in Europe.

For more details, contact us.

With mobile devices becoming a part and parcel of our lives, more and more functions are being added to mobile phones. Right from monitoring health to opening doors, a lot of functions have just become part of a mobile phone. For each of these functions, an application is required.

Mobile app development is the process of creating software applications that run on a mobile device, such as a smartphone or tablet, using tools and technologies specifically designed for the mobile platform.

This includes designing, coding, testing, and deploying the app to an app store like Google Play, etc. It can also be offered for private download.

Some popular frameworks and platforms for mobile app development include:

1)    React Native

React Native allows developers to build mobile apps using JavaScript and React, a JavaScript library for building user interfaces. A concept and syntax similar to React are used by React Native also. However, instead of targeting web browsers, it targets mobile platforms such as iOS and Android. This mobile app development framework was created by Facebook.

2)    Flutter

Flutter is a mobile app development framework created by Google. It uses the Dart programming language to build mobile apps for iOS, Android, and the web. The main advantage is that the framework automatically updates the app’s user interface in response to changes in the underlying data.

3)    Xamarin

Not to be left behind, Xamarin is a mobile app development framework created by Microsoft. This allows developers to build mobile apps using C# and the .NET framework. Xamarin also includes a feature called Xamarin Forms, which allows developers to create a single, shared user interface for their app that can run on multiple platforms.

4)    Ionic

Ionic is an open-source framework for building mobile applications using web technologies such as HTML, CSS, and JavaScript.

5)    Cordova

Cordova is also an open-source framework for building mobile applications. It provides a bridge between web code and native device features, such as the camera, GPS, and accelerometer, enabling developers to access those features from within a web-based app.

6)    NativeScript

NativeScript is an open-source framework for building mobile applications using JavaScript, which allows developers to create truly native apps for iOS and Android using a single codebase

7)    Swift and Objective-C for iOS

They are used for developing iOS and macOS applications. Objective-C is an older, high-level programming language that was widely used for developing iOS and macOS apps before Swift. Swift is a modern, high-performance programming language developed by Apple for iOS, macOS, watchOS, and tvOS. Swift is designed to work seamlessly with Cocoa Touch and Cocoa, the frameworks that make up the iOS and macOS SDKs, which makes it easy for developers to create high-performance and responsive apps.

8)    Java and Kotlin for Android

Java is a well-known programming language while Kotlin is a more recent programming language that helps to overcome the shortcomings of Java. Kotlin is an open-source, statically typed language that is fully interoperable with Java and can be used to build high-performance and reliable Android apps.

All of the above languages have large and active communities with tutorial libraries and resources. It is a point to note that the choice of a framework or platform is to be decided after a thorough business analysis and understanding of requirements. It will also depend on the skills of the company developing the application and support available online.

Why GRhombustech?

GRhombustech is a leader in offering cyber security solutions in USA and among the best software development companies in USA. We also offer IoT testing services and salesforce CRM customization. Established in 2014, GRhombustech also brings rich insight to Salesforce products and solutions.

The company has delivery centers in India at Hyderabad, Chennai, and Bengaluru, and a staff strength of 200+ employees all around the globe.

For more details, please contact us.

Mobile phones have now enlarged in function to become an all-encompassing devices that is touching almost every aspect of our everyday life. The primary driver for this progress has been the ability to develop various mobile applications to enhance their value and function. Given their critical function, it is necessary to test mobile applications properly before deployment. GRhombus, a leading software development company in UAE bring to light some trending practices in mobile app automation testing in the below blog. They are:

1) Test automation frameworks such as Appium, Espresso, and XCUITest.

2) Continuous integration and continuous delivery (CI/CD) to automate the build and deployment process.

3) Cloud-based testing platforms, such as Sauce Labs and BrowserStack, to test apps on a wide range of devices and different versions of operating systems.

4) Test automation using artificial intelligence and machine learning.

5) Shift-left testing, which involves starting testing earlier in the development process to find and fix issues sooner.

6) Use of open-source tools like Selenium for mobile web testing and Calabash for mobile native testing.

Test automation frameworks such as Appium, Espresso, and XCUITest are used to automate the testing of mobile and desktop applications. They provide a set of libraries and tools that can be used to write automated test scripts that can be executed against the application under test.

XCUITest is a test automation framework for iOS applications. It provides a simple and easy-to-use API for writing automated test scripts for iOS apps, and it is integrated with Xcode. It also supports other languages like Swift and Objective-C.

Continuous integration (CI) and continuous delivery (CD) are software development practices that involve continuously integrating code changes into a central repository, and then continuously delivering those changes to various environments.

CI/CD is a key practice in modern software development that enables development teams to deliver new features and bug fixes to users faster. It helps reduce any issues in the code base and code can be released to multiple environments simultaneously.

Cloud-based testing platforms, such as Sauce Labs and BrowserStack, provide a way for developers to test their web applications and websites across a wide range of browsers, operating systems, and devices. These platforms allow developers to run automated tests and manual tests in a virtual environment, eliminating the need for a physical lab of devices and browsers. This allows for more efficient and cost-effective testing, as well as the ability to test on a wider range of configurations.

In all the above cases, proper tools and processes must be in place to track and report the test results and bring it under the continual improvement loop. Some of the best test case management tools in our experience as one of the best penetration testing companies in UK are:

• TestRail: A web-based test case management tool that allows users to manage, track, and report on test results.
• Zephyr: A test case management tool that integrates with Jira and allows users to track test cases and their results.
• qTest: A cloud-based test case management tool that allows users to manage, track, and report on test results in real time.
• Test Link: An open-source test case management tool that allows users to manage, track, and report on test results.
• Practi Test: A web-based test case management tool that allows users to manage, track, and report on test results and also has integration with JIRA and other DevOps tools.

About GRhombus

GRhombustech, among the leading software development companies in UK, offers innovative and customizable cyber security and cloud testing solutions for an organization of any scale and size. 

Driven by passion, purpose, experience, and service-mindedness, we offer excellence at any and every touchpoint. Our team of experts serves clients across Europe, UK, USA, Middle East, and achieving client delight at every touchpoint is our mission. 

For more details, contact us.

With the Internet becoming a part and parcel of our lives, cybersecurity has emerged as a key aspect. Cybersecurity is the practice of protecting internet-connected systems, including hardware, software, and data, from wilful or malicious attacks, damage, or unauthorized access from both internal and external sources. It is a comprehensive term that covers all areas including preventing and detecting cyber-attacks, user training, implementing security policies and procedures, monitoring, and upgrades.

Among the leading cyber security companies in US, GRhombustech explains some of the trending cybersecurity issues and their solutions in this blog. They are

1)    Ransomware attacks

The term ransom is self-explanatory. In such attacks, the hackers simply encrypt the files on a computer or network drive and demand a ransom from the victim in order for the victim to regain access. Often, the ransom is in bitcoin or some other cryptocurrency, and only then will a decryption key be supplied. Well-known examples of ransomware are Wanna Cry, Petya, Locky, Ryuk, etc

Some of the ways to prevent ransomware attacks are:

A.    Constant awareness and user training, caution when opening emails or attachments from unknown sources.

B.     Always have the latest security patches installed at both the OS level and for the antivirus solution in place. One should also use reputed antivirus software.

C.     Create backups of data. Test and check these backups regularly.

D.    Use well-configured firewalls to prevent unauthorized network access.

2)    Phishing Scams

Phishing refers to the case where people are tricked into providing sensitive information and personal data by disguising it as a legitimate communication or need. From emails to unsolicited calls from banks or customer service agents, the attacker in a phishing scam poses as a legitimate entity to perpetuate the fraud. Victims can be tricked into clicking on a link or opening an attachment that will install malware. There are also cases of redirecting the victim to a fake website where their information can be collected. 

Some ways to prevent phishing are:

A.    User training to be wary of unsolicited emails, phone calls, and messages.

B.     Verifying the sender’s identity and looking for suspicious email addresses

C.     Keeping the system OS and the antivirus solution up-to-date and implementing an anti-phishing software suit.

D.    Incorporating 2-factor authentication

3)    Cloud Security

Cloud computing has emerged as a powerful force and the data, applications, and assets need to be protected from many factors like unauthorized access, use, disclosure, disruption, modification, or destruction. Comprehensive security measures are required right from the physical security of data centers, network security, and the security of the applications and data that are hosted in the cloud. Multi-factor authentication, strong encryption, the use of private VPN tunnels and the latest security patches are some of the other ways to ensure cloud security. Data privacy is also another aspect that has to be considered when cloud computing operations are undertaken, and appropriate measures must be put in place. 

4)    IoT Security

IoT is the hottest topic today and it refers to physical devices embedded with sensors, software, and connectivity provisions to collect and exchange data. Automation and monitoring possibilities are unlimited with IoT and this helps to improve efficiency and reduce cost in many touchpoints. 

Some of the methods to ensure IOT security is the use of strong passwords, secured networks between devices, end-point security solutions for devices, implementing the latest security patches, use of network monitoring tools, secure authentication, etc

5)    Security in Remote Work

The COVID pandemic has caused tremendous disruption on various fronts. Remote working and hybrid working arrangements are now slowly becoming the norm. In this background, protecting company assets and sensitive data is more challenging. Some tangible measures to ensure good cybersecurity in remote working are the use of virtual private networks, educating employees on best practices, regular refresher training, implementing endpoint security like antivirus and firewalls, strong enforcement of organizational security policies and testing the policies in real-time, close monitoring of network traffic, undertaking penetration testing by external parties, etc.

Why GRhombustech?

GRhombustech is among the leading software development companies in UAE. We are also a leader in offering Edtech solutions in the USA and the best software testing company in the UK. Apart from these areas, GRhombus has established itself as a pioneer in Data Visualization, IoT Testing, Salesforce Development, and Cloud Testing. Driven by the guidance of experts with more than 25 years of industry experience, the GRhombus family now has over 200 employees spread all over the globe.

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