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Software Development: Why is Software Quality Control + Testing So Important?

Software development is constantly changing and becoming more and more complex. In order to keep up with this development, the ever-changing and innovative business landscape, test tools, and security requirements were further developed. Development teams are under increasing pressure not only to create quality software on a tight schedule but also to ensure that the software complies with both internal and external standards such as GDPR.

 

This also means that, as far as we know today, there are no error-free applications. Problems can arise in software development that has consequences: There is a risk that the originally planned development costs will be exceeded, leading to a delay in the development period. There is also the risk that the end product will have qualitative defects.

 

This makes quality control so important. Testing software is, without question, very important for a high-quality end product. In order to make sure the released software is safe and functions as expected, the concept of software quality was introduced. Software Quality Testing is an honest review and evaluation of software regarding its quality and compliance with the organizations/client specified requirements, expectations, and market standards. The goal is to identify and fix errors at an early stage. Software testing is not only an important part of quality assurance but also an integral part of the software development process.

In this article, we’re going to look at the major challenges encountered during software developments and how can we resolve them to deliver a quality project.

 

  • Programming standards

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Nobody wants to take the time to plan but start programming right away. It is best for the programmers to sit down, discuss important points, such as choosing the right technology, interpret customer’s needs to properly defining the purpose of the software or even write the first few lines of code together. Because if every developer interprets programming standards in his own way, there can be significant discrepancies in the end results, which means that extensive reworking is necessary. It is advisable to provide internal manuals with the programming standards and, above all, to ensure that these are actually used by the project team. This is how each party, programmer, client, service provider, etc. can save time and be productive right from the start.

 

  • Ensure clear processes

Due to a lack of planning, the exact requirements for a project are also missing. Non-transparent and inaccurate description of the processes in software development can quickly lead to uncertainty among those involved. For example, in many projects, the requirements are only formulated in writing and are not communicated correctly. This is mostly due to the lack of communication between project leaders, team leads, and managers and between the actual project formulator and the one who programs the whole thing. This makes it extremely difficult for the developer to implement the right things.

Misunderstandings can result in huge problems as a result of which errors creep in, which can only be eliminated again with increased effort and the project can be unnecessarily long. It is recommended to enable direct communication between the project formulator and the programmer.

 

  • Set priorities

It is noticeable again and again that no priorities are set with regard to the planned features, which usually means that the features are completed in the wrong order and or errors are often made, especially when it comes to the selections of technology for development. New, exciting technologies are often used but the problem arises when the manufacturer of the new technology decides on an update, then you may have to rewrite the entire code. A thing that is very time-consuming and not really practical. Additionally, only prioritized tasks should remain in the project scope.

It is crucial, but it can be a challenge to prioritize several dozens of items efficiently. A dedicated team should therefore decide in advance which work step is to be tackled first with already tried and tested technologies. It is advisable to make the decision internally and to leave the client outside. Because clients often lack an overview of which feature is particularly important for the success of the project. With prioritization, you can also keep the track of the expenses and effort do your team spends on the project activities.

 

  • Project’s delivery time

There is hardly a single project in which the timeframe of software development is respected because the time required is incorrectly estimated at the beginning of the project. Due to the new requirements made by the client during the project, but also to the fact that a developer cannot accurately assess larger projects can cause delays in project delivery.

Delivering software on time is never easy when the scope and timelines in question are significant.  To deliver software projects on time, it’s recommended to break down the assignment into smaller modules of a few days. This makes it possible to give a more precise expectation of what will be delivered and when it will be delivered.

 

  • Professional qualifications of the employees

For every project, it should be ensured that all employees involved are adequately qualified. This is especially true for very complex software projects in which many developers are involved. It is also important that the individual employees have a similar technical level in order to avoid communication problems with their team members.

Additionally, it should be avoided that the developers assigned for a project leave the company while the project is running and are replaced by other/new employees. Because if an employee leaves the company during development or changes to another project, it is extremely difficult to transfer the knowledge of a departing employee to the new developer.

2021: Intelligent Data Management Will Enable the Future of Your Business

2021 Intelligent Data Management Will Enable the Future of Your Business

The EU’s GDPR has a major impact on the data privacy ecosystem. The regulation is an essential step to strengthen individuals’ / Business fundamental rights in the digital era we are living in. After two years of the introduction of the GDPR, the following question still arises: What will 2021 bring in terms of data management and data protection? According to Gartner, by 2023, 65% of the world’s population will have its personal data covered under some kind of modern privacy regulations.

 

It’s predicted that the technology for the preparation, control and administration of data will become much more efficient so that data is available more quickly and reliably. With the focus on foundational components of data integration, data governance, and data preparation the effectiveness of big data projects can be improved. With the right technology, data management can also drive enormous business value and support digital transformation. It’ll certainly help organizations to better manage the availability, usability, integrity, and security of their enterprise data.

 

Data has evolved over the years and will continue to evolve. Today’s organizations are data-centric; they accumulate enormous amounts of information in many different formats. Those who are unprepared to deal with the amount of data will be left behind compared to those ready to welcome all business opportunities that big data has to offer. Here below are 5 main areas that play a huge role in the good preparation of data management.

 

  • Data orchestration

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A frequently used term in the sales and marketing domain for whom data has a high priority as their data is the foundation of just about everything, they do. Simply put, data orchestration is the automation of data-driven processes that includes data preparation, making decisions based on that data, and taking actions based on those decisions. Data and API integration and data movement need to grow together to support all kinds of DataOps (data operations) methods. It’s a process that often spans across many different systems, departments, and types of data. It also requires a combination of different technologies that ensure a central data flow. This is the only way to orchestrate data-related activities – across different locations, on-premise or in the cloud.

 

  • Data discovery

In this process, relevant data insights are uncovering and transferred to the business users who need them. A comprehensive directory for searching, making available, saving, and interpreting data and other objects is becoming more and more important. Advanced Analytics enables the automation of mundane data management tasks and frees up resources to actually generate added value from the data. With the right use of data discovery tools, even the non-IT staff can easily access complex data sets and draw out the information they need. This process of knowledge discovery can be performed by anyone, without the technical know-how that was required in the past.

 

  • Data preparation

“Data preparation is one of the most difficult and time-consuming challenges facing business users of BI and data discovery tools, as well as advanced analytics platforms, Rita Sallam – Research Vice-President at Gartner.” However Artificial intelligence (AI) has solved this problem by creating the basis for advanced data transformation and by enabling automatic cleansing and consolidation of data. This enables users without any prior technical knowledge to use data.

 

  • Model management

Model Management technologies help organizations consistently and safely in developing, validating, delivering, and monitoring models that create a competitive advantage. The focus is to put the central control of all models in a single application instead of the separate management of individual models. In view of the fact that many analytical models never go into production or quickly become obsolete (model decay), it is important that companies can quickly and easily register new models, adapt, track, evaluate, publish, regulate and document them.  Previously, model management referred just to monitoring production models, but it’s beyond that. Models drive new breakthroughs and operational improvements for businesses. According to a McKinsey study, organizations that leveraged models extensively showed a 7.5% profit margin advantage over their peers, whereas those that did not use models had a 2.5% profit margin deficit compared to their peers.

 

  • Data governance

“A data governance plan, supported by effective technology, is a driving force to help document the basis for lawful processing.” Data protection laws require companies to have data governance programs that provide “data privacy by default” and define policies, roles, and responsibilities for the access, management, security, and use of personal data. If they do not proactively advance standards and programs, they not only run the risk of contradicting legal requirements but they could also lose the trust of their partners/customers. With the use of advanced analytics and artificial intelligence in decision-making, they are therefore even more challenged to bring transparency to the algorithms.

 

Sources:

 

What are the new 2020 Trends in Mobile Security?

Mobile security 2020

Cybercriminals and security teams are engaged for their life in a true cat and mouse game. With evolving technological landscape, many companies give their employees access corporate data available on cloud or via specific business mobile applications, which is reachable 24/7 to their employees on any electronic device, such as tab, mobile or computer. The reason behind this flexibility is of course letting employees stay in touch with their consumers and make profitable decision at any time. However, security experts must find ways to stay ahead and combat latest cybercrime practise used by hackers, not only to have a strong defence against hackers but also to protect and secure all digital applications and channels along with company’s valuable data.

Security experts had to deal with security gaps and network monitoring not only in the past but also face new threats, risks and embrace new opportunities to promote end to end security by implementing layered security that is not only applied to various implementation efforts but also keeps up with company’s ecosystem.

 

Some organizations can also ban employees’ personal devices and use corporate devices to ensure and respect the security restrictions. These restrictions are placed to avoid or limit the number of data breaches but can limit the productivity of employees if they aren’t able to keep corporate devices 24/7 with them and also makes impossible work.

 

According to Lookout security experts, mobile will become the common phishing device for credential attacks in 2020. “Traditional secure email gateways block potential phishing emails and malicious URLs, which works for protecting corporate email from account takeover attacks, but neglects mobile attack vectors, including personal email, social networking, and other mobile centric messaging platforms such as secure messaging apps and SMS/MMS.”

 

In addition to that, according CSO’s recent study “Cybersecurity spending trends, 2020” 62% of organizations will increase cybersecurity spending in 2020, while another 36% will keep cybersecurity budgets flat. Technology organizations are most likely to increase spending (73%), followed by manufacturing (68%), and retail/wholesale (67%).

 

As we increasingly use mobile services, both in private and business environments, more and more industries are focusing on the protection of their online resources, end security and IP in order to protect their mobile apps used by their internal/external staff or partners, while putting a limit to a maximum number of end-users. This protection is necessary for all devices on the field to overcome dangers such as fraud, data theft or DDoS attacks. DDoS attacks, spam and other security threats are not only a problem for wired networks, but households and small businesses, users of wireless landline access are now also suffering.

 

The use of mobile malware is progressively increasing, as is the range of possible application scenarios, which range from DDoS attacks to SMS spam and data theft. All of these threats are worrying network operators. That makes mobile Security is a wide topic that covers other elements such as back-end/cloud security, network security and also, a network of more and more connected objects (IOT), such as wearables and automotive devices. There is no unique method to protect apps in insecure environments, but rather an addition of security layers which can increase the overall level of security. Security specialists are combining mobile software security with hardware-based security solutions to reinforce sensitive data storage and integrity of service execution in hardware zones.

 

A multi-layered security is required to succeed in a secure environment, and for that security experts must have a complete visibility to optimize and examine the threats and impact that they can have at business. Once the threats are identified, they can be prevented with the help of security software empowered by antimalware, machine learning, AI along with anti spam techniques. With the help of these smart tools and analysis, security teams can be notified about breach detection and response in time. They can also block any advanced malware technique used by cyber criminals and detect every abnormal and irregular behaviour. These security experts also work hard on their endpoint security through breach detection.

 

Attacks in 2020 will be more and more planned, spread out, and varied in terms of tactics. Threat intelligence and security teams must help organizations to defend their environments proactively by identifying security gaps, eliminating weak links, and understanding attacker strategies. A well thought threat intelligence aligned into security and risk management process can help business to overcome risks before any attack occur.

 

Sources:

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Outsourcing – Make or Break Opportunity?

Outsourcing Advantages and Disadvantages

 

Outsourcing is a business practice in which services or specific job functions are done by a third party. If a company choose to outsource their services within their own country it’s called onshore and if they decide to outsource a distant country, we call it offshore. These decisions are made to save company’s costs. Outsourcing is known to offer various benefits to your business but it can also bring big challenges and expose you to big risks if negotiations and management of outsource relationships aren’t done wisely. According to the Information Services Group, the annual global revenue from information technology outsourcing is reached to 92.5 billion dollars in 2019.

 

Outsourcing work of marketing, accounts, IT, HR and many other departments can help business save money, make sure that the specific business tasks are handled by a specialist, save time and work in company’s product/service expansion. A study by entrepreneur.com demonstrated that 74% of companies outsource IT, 52% of companies outsource HR, 43% of companies outsource procurement, and 39% of companies outsource finance.

 

In an IT outsourcing process with a technology provider, a variety of operations following operations must be well discussed in advance, such as disaster recovery, network services, software development, QA testing GDPR implementation, in order to build a high-performance IT organization.

 

Here below is everything you need to know to ensure your IT outsourcing project success:

 

  • Outsourcing IT tasks / jobs must be as much structures and transparent as possible in order to overcome employees worries of losing their jobs.

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  • The main objective of outsourcing is to reduce operational costs and improve your business. This goal must be in your mind when you choose for an external provider/expertise to get your job done and so see positive results such as a reduce of a significant amount of your capital in hiring employee and equipment.

 

  • Outsourcing doesn’t mean that you have to compromise on the quality of work. An external partner would like to earn more commission and will have tendency to do their work quicker than the time a good project really needs. So, in order to deliver a good project, a balance between the quality and quantity of the services provided by the outsourced employees/firm must be well calculated.

 

  • Technology, trust, transparency and resources must be well considered before choosing any outsourced partner. Get a maximum information you need about tools, technology and experts that will be handling your project. Once you get this information, you’ll be able to select the most suitable vendor with the best team of experts and the last-gen updated technology to assist you the best with your business.

 

  • Don’t fall into the good-cost services trap. Always question the expertise of someone who agrees to professionally work on your project for amount way below average. No doubt that outsourcing is far more inexpensive than your in-house employee but it doesn’t mean that you can’t look multiple options and pay a little more to get your job done perfectly by doing a comparison of freelancers that’ll help you to get answers on questions like, how long they need to make your project, if they want to get paid on a fixed fee or by hourly, what experience they have with related projects, what type of projects have they already done, if they are able to give you references of companies they’ve completed projects for.

 

  • Communication is the key to a successful collaboration and innovation. Time, language or cultural differences must be well studies before doing business with a third party especially when it’s an offshore partner. In order to avoid a negative impact on work quality or delays in project timings, you must find time for communications to give your feedback and talk about the ongoing project.

 

As mentioned above, Outsourcing is driving tremendously economic growth by creating job opportunities, offering better standard of living, building and maintenance of infrastructure. In addition to that Outsourcing has made it possible for companies to divide their service and production processes into different elements which can be contracted and executed in an organized and cost-effective way.

 

Sources:

 

B2B E-Commerce Entry Barriers and Challenges  

B2B E-Commerce Entry Barriers and Challenges

 

E-commerce has the potential to improve efficiency and productivity in many areas and industries and, therefore, has received significant attention since last decade. With the growth of Internet users around the world, new opportunities for global e-commerce are growing in parallel.

 

For B2B companies, a web shop can and should be much more than just an additional sales channel as digital channels, and ecommerce in particular, are critical for their successful B2B operations.  Amazon, Alibaba, Mercateo, Global Sources and Walmart are few major players in the global B2B eCommerce market. Amazon rebranded its B2B eCommerce operations from AmazonSupply to Amazon Business in 2015 and achieved sales of over US$1 billion in just a year. According to Forrester Research, Think with Google, 90% of B2B buyers use a mobile device at least once during their decision process, and 59% of buyers conduct all pre-purchase research online. According to Orbelo publications, nearly 1.92 billion of individuals, worldwide, shopped online means 1 out of every 4 people you see around you is an online shopper.

 

Not surprisingly the global B2B eCommerce market valuing US $12.2 trillion in 2019 is over 6 times that of the B2C market. This number shows us the importance and growth of B2B e-commerce market. So, in order to expand existing business, reduce entry requirements, process costs in customer management and improve the quality of customer experience, a good e-commerce project must be prepared with propositions of new way of doing business which takes strategic and organizational and technical aspects into account with help of new service models.

 

Lack of technology knowledge to ensure the quality and size of the IT workforce is one of the biggest challenges for many companies’, as they consider hiring a new team for their ecommerce department. In a report commissioned by SAP, Forrester has reported that a company needs 12 full time employees to maintain webshop and not all companies can afford an ecommerce team of 10+ employees in addition of their actual staff. But as a successful e-commerce is a team work, from IT department to product management and from sales and marketing to customer service, companies must have a clear goal and make relevant decisions that can measure investments and ROI.

 

Trust, confidence and data privacy represents as another challenge for electronic commerce. The question of trust is even more prominent in the virtual world than it is in the real world. Plus, hackers are becoming more and more creative each day and inventing new ways to exploit e-commerce business and its customers for their financial gains. Cyber crimes can have bad impact on e-commerce retailers leading to significant business implications and bad PR and loss of customer trust. To stay on top of these constant threats, E-commerce retailers need to know what they are up against, and how they can prevent their business from becoming a victim of one of these attacks by taking proactive measures to protect their e-commerce from malicious hackers and safeguard their customer’s personal information.

 

E-retailers can face challenges related to their growth if the right partner and technology isn’t chosen in the beginning of the e-commerce project. Therefore, the experience of project partners who specialize in B2B web shops should not be underestimated. In order to have achieve a profitable and long-term growth, companies must choose the right CRM system, shopping cart solution, inventory management, shipping partner, analytics and email software, marketing campaigns software/partner agency and much more. So, a Web shop projects doesn’t only require a clean product and customer data management to avoid follow-up costs but also the systems used for merchandise management and customer relationship management integrated with the web shop software. The aim should be to implement central, consistent data management as the basis for maximally automated processes and error-free real-time information about products, stocks, prices and delivery dates.

 

The future is certainly positive for B2B e-commerce. With a bright future and growing competition, it is important that B2B companies invest in a sophisticated e-commerce platform to stay in the competition and secure a first-mover advantage.

 

Sources:

 

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GDPR 1 Year Anniversary – What have you learned so far?

GDPR 1 Year Anniversary – What have you learned so far?

On 25 May 2019, we’ve celebrated the first anniversary of General Data Protection Regulation, aka, GDPR. Preparing for the GDPR was a superhuman effort for many. Now here we are, almost a year later, and the buzz of GDPR is faded, but not completely gone. And that’s to be expected — establishing and reinforcing a strong culture of compliance is not a “one-and-done” effort, but an ongoing and organization-wide push. What have companies learned in this past year? Are they taking GDPR in consideration and adapting new strategies in order to fulfill its requirements?

 

GDPR compliance requires a constant attention, and it’s full on challenges. Even after one year, a few companies still do not always see the meaning of the GDPR, but only a bigger workload. For few companies, the biggest challenge so far is resourcing, both financial and personal. GDPR job must be done with the skill set of right people, and as the demand of professionals is increasing, it’s hard to find the right profile to get the job done. In 2017 an IAPP study had estimatedthe need of 75000 DPOs worldwide. The IAPP new GDPR One Year Anniversary – Infographicindicates that 375000 organizations are documented to have DPOs and 500000 organizations are estimates to have registered DPOs across Europe.

A lot of organizations already have most of the basic structure for compliance with GDPR in place and they are able to respond to data subject access requests, the extensive mapping and tracking of data that is processed. The IAPP study showed that 200000+ cases have been received by DPAs during past year and 94000 individual complaints such as access requests, right to erase their data, unfair processing of data, unwanted marketing, disclosure and employee privacy.

 

The aim of the GDPR is the protection of personal data. Not only names, but also data such as telephone numbers, license plates or IP addresses are considered to be personal. For companies that have more than ten employees, the GDPR obliges them to have an internal or external privacy advocates. He is the contact person of employees, management and other affected persons. Many companies have already implemented this requirement. But even if the monitoring of compliance with data protection laws and the EU GDPR is one of the duties of a data protection officer, employees have to pay attention in everyday life even to the consideration.

 
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For this purpose, it is not enough to provide them with GDPR-compliant tools only. Instead, it is important to clarify the importance of data protection, even if much seems obvious at first glance. For instance, it is advisable to avoid making loud phone calls about sensitive company data in public as much as possible and to use privacy filters when using service laptops while on the move. Likewise, employees should not use public WLAN networks, as they are in most cases not safe but instead virtual private networks, so-called VPNs. They must also have the sense to detect an abnormal email with a lot of spam links.

 

The IAPP report also shows that the European data protection agencies have issued fines resulted in €56,000,000+ for GDPR breaches since it was enforced last May, from more than 94000 individual complaints, 64000+ data breach notifications and 280+ cross-border cases, and it’s just a warm up for the data protection authorities.

 

Often companies still lack the awareness that the GDPR not only concerns the handling of customer data, but also employee and supplier data. For business to go forward positively, it’s highly important to stay tunewith regulator guidance and enforcement decisions from their country’s respective DPA in order to know when internal processes may need and update. When it comes to GDPR, organizations should monitor the European Data Protection Board website, which also has started reposting information from national DPAs, as well as ongoing guidance. The penalties for non-compliance and the potential reputational risk are severe.

 

Source : GDPR One Year Anniversary – Infographic

Ready, Set, Create: A Guide To Finding The Digital Balance Of Company 2019

Digital Transformation Trends For 2019

The turn of the year invites us to reconsider old structures and processes – and that also applies to the IT departments. Almost three-quarters of executives believe they are outperforming competitors in innovation, according to a new study by consulting firm PwC.

 

There will be a number of innovation hurdles to overcome in 2019. Many companies continue to worry about data security, data protection and compliance, as they lack a holistic solution. Elsewhere, proprietary legacy systems and processes prevent data from being used profitably. How exactly and where the journey goes is difficult to predict. In principle, however, here below major core areas are already emerging, which will be the priority for companies also in 2019:

 

  1. Data security and availability:

As early as 2018, British Airways, Cathay Pacific and Ticketmaster had to conclude that insufficient data security has serious consequences. That will not change in 2019 either. Ever more complex IT environments and applications are becoming more and more under pressure from day to day: patches, enhancements and cloud migrations are a constant burden on IT teams and resources. Even hackers know that disrupting a business can be just as profitable as a data theft. Ransomware and malware have already demonstrated how they can paralyze businesses and entire communities.

Plus, underGDPR regulations, customers will start catching on to which companies actually care about protecting their data. So, companies will start recognizing how important it is for the customer’s experience and audience that they protect their customers, or at least show that they want to. Misuse of personal data will impact brand identity, marketing and selling – all business-critical initiatives to keep the customer happy and coming back.

 

  1. Speed:

In 2019, financial services providers and the banking sector will make important progress on their path to digital transformation. With fully digital, pure mobile banks such as N26, which are becoming increasingly popular, we are already experiencing enormous changes in the industry today. Being flexible, 24×7, and mobile in the first place, while complying with regulations and data protection laws, can be a daunting task. But this is precisely where the expectations of the new generation of customers in financial services lie.

 

  1. Compliance:

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The scale of new data security regulations is not fully predictable for businesses. Since data is constantly exchanged between all business units and with external service providers, a simple external hedge is not enough. The internal data streams must also be protected with the right technology. These technologies are the key to holistic risk management across the data supply chain, so that even in the AI-based and near-real-time future-oriented applications, developers and data scientists can be confident that their processes will protect their privacy and compliance directives do not affect regulations.

 

  1. People and technology:

Humans are interacting more and more directly and personally with their own technology, resulting in completely new datasets and application fields, e.g. the diagnosis of neurological diseases using speech patterns. Businesses need to access this data to improve their digital services and customer care. We’re counting on technology to take personalization and automation to a whole new level.

 

  1. Data scientists on the rise:

In terms of agility, startups are already performing better than legacy applications. The introduction of data technologies and analytics in developing and emerging economies will create even more opportunities and further enhance competitive conditions for data-driven companies. That’s why a data science team should be high on the business wish list, as well as the right data management and virtualization tools. Because the analysis of each is only as good as the data that is analysed.

 

  1. CEOs – More Than Just a Face of the Company:

2019 will see the rise of the CEO who will take the reins of digital transformation at businesses worldwide. Digital transformation is no longer looked at as just a fad, but rather a means of staying relevant in today’s business-world. Hiring those in digital transformative efforts will become a top priority as each CEO recognises the critical need for building cultures that can evolve, as well as the value of reskilling employees and hiring for an agile workplace. For CEOs leading a transformation, no single model guarantees success. But they can improve the odds by targeting leadership functions: making the transformation meaningful, modeling the desired mind-sets and behavior, building a strong and committed team, and relentlessly pursuing impact. Together, these can powerfully generate the energy needed to achieve a successful performance transformation.

 

The goal for 2019 is clear: digital balance. Businesses need to be sure that their data is securely stored, and their processes are automated around the clock. The way to achieve this goal is often bumpy and difficult by nature. It will cost companies time and perseverance to reach the digital balance, but the inner peace and inherent benefits of a sophisticated data strategy are definitely worth it.

The Advances of IT Sector in 2018

 

2018 came with a lot of challenges in IT sector. Three topics kept IT departments on their toes: the GDPR with all its legal refinements; the race of IT security with cyber-attacks and data thefts and the search for the best strategy for the digital transformation.

 

Again, and again it concerns the data protection basic regulation (GDPR)

 

Since May 25, 2018, the EU General Data Protection Regulation (GDPR) is required – but many companies are still struggling with the implementation of the new regulations. In particular, data protection in the cloud requires special measures. Here are five tips on how a Cloud Access Security Broker (CASB) can help.

 

Nobody can pass cloud computing. Especially the combination of different models and providers, keyword Multi-Cloud, offers a highly flexible infrastructure to access the resources and advantages of different cloud models. However, in vision of the Data Protection Regulation (GDPR), new security and compliance requirements apply to companies. How can the complexity of a multi-cloud environment also be managed with security in terms of data protection and what should companies pay attention to when choosing their cloud provider? Here below are some recommendations on how companies can use the added value of the multi-cloud and at the same time ensure their compliance with GDPR.

 

  • Having a short guideline of the minimum requirements for companies to comply with the GDPR
  • Structure data management – personal data must be quickly locatable
  • Comply with the documentation and keep directories
  • Respect a short deadline for reporting violations of data protection – it threatens sensitive fines
  • Implement compliance management system for privacy
  • Raise awareness of data privacy and GDPR in your own company – train employees and establish new processes
  • Include external / internal employees and service providers in compliance strategies
  • Take privacy requirements already in software development and product design into account
  • Anonymise or pseudonymise data for testing and development purposes – or obtain explicit consent of the customer for the use of their real data
  • When migrating data to cloud, avoid vendor lock-in and clarify procedures for eventual return transfer
  • When using multi-cloud environments, choose a service provider that provides all components and their control completely GDPR-compliant from a single source

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In search of the magic formula for the digital transformation

 

The focus of the digitized company is the ability to integrate with customers and partners in an Internet-based manner, as simply and as quickly as possible, so that they can achieve high levels of automation on demand, which are used to quickly place products on the market.

 

The integration of appropriate processes in the company, on the one hand, creates advantages through automation. On the other hand, integration with partners, customers and other stakeholders means that company can market their products better and faster. Being a digitized company goes far beyond the simple use of software. Just because a company uses CRM software is far from digital. It is more about the complete integration of the customer and his needs into the internal company processes.

 

Every business has to find its right level of digitization. There will not be a universal recipe

for that. However, there are many criteria that influence. The key to digitization ultimately lies in understanding customer needs and the ability to integrate at all levels – from a purely technological to a sociological level of integration. Who can and who controls this, will be successful in the end.

 

Race of IT security with cyber attacks

 

Cyber risk is becoming increasingly international. Cyber losses are now being reported in almost every country of the industrialized world. Criminal attacks hit industrial companies particularly hard: Through sabotage, data theft or espionage, the average cost of a malware attack on a company is $2.4 million in the past two years. Above all, insecure IoT devices invite hackers to DDoS attacks. These “smart” devices are then very well suited to become part of a huge botnet. Thus, DDoS attacks have nearly doubled in the last six months.

 

But numerous other types of attacks also caused damage. Such as, file-less threats with “CactusTorch” use trusted Windows executables to penetrate systems and break through corporate networks. Cryptojacking has become a massive threat, with deep-fake attacks unlikely to be well-developed, and financial breach an increase in cyberattacks by hidden tunnels.

 

Although the cyber threat has increased in past few years, efforts to combat attacks and improve security are also escalating. Security spend is reaching unprecedented levels, international cooperation among cyber protection organizations is improving, and there are initiatives to catch and deter cyber criminals.

 

Minimize business-critical downtime

 

To quickly get back to business after a ransomware attack and to minimize mission-critical downtime, a multi-layered data management strategy with easy automation and fast recovery is essential. When a system is validated and can be restored quickly and easily, companies benefit in two ways. Not only can they avoid paying the ransom, they can also resume regular daily business in no time.

 

Endpoint Detection and Response (EDR) can also be a powerful tool against sophisticated enterprise IT attacks that help prevent threats that security solutions can not block in advance.

 

Companies only successfully digitize themselves when information and data can be securely and reliably exchanged. On one hand, this requires secure identities. On the other hand, data and documents must remain confidential and protected against manipulation. So you can protect yourself with a technology concept from cyberattacks.

GDPR – Requirements for Cloud Services and Online Privacy

The Cloud and EU GDPR

The General Data Protection Regulation (GDPR) came up with huge challenges for almost all size of companies. No matter whether it’s a medium-sized company or a tech giant hardly anyone is excused from the new data protection regulations.

But why do even the world’s largest corporations have significant problems with the new regulation? It is mainly due to the very diverse regulations of the countries. While Belgium is also living up to protect itself in terms of data protection, the regulations outside of EU are less mature. One thing is certain: those world’s largest corporations that are also active in the Belgian market have to adapt to the GDPR. This includes cloud providers, since, under GDPR, the storage and processing of personal data in the cloud is only possible with the consent of the concerned person. In addition, the removal must be guaranteed at the end of the business relationship. Personal data must be encrypted in the cloud to protect against fraud. And these are just a few of the many other requirements.

 

A provider comparison requires time & know-how

SMEs mostly rely on service providers from a pool of about twenty to thirty major vendors, including Mailchimp, Salesforce, Dropbox, Microsoft Office 365, and AWS. Why are so many companies using US-based cloud solutions? Well because applications like Dropbox or Microsoft Office 365 are well known and easy to understand. The general agreement for widespread use has increased significantly in recent years, cloud applications are now an integral part of everyday work almost all around the world. However, the fact is that small and medium-size businesses often do not have the necessary technical know-how when deciding on a cloud provider, in order to analyze the available solutions in terms of data protection. And once a cloud solution is used, companies are more likely to face a change.

 

More and more enterprises have moved to the cloud. It represents big advantages for an enterprise: it also allows for a better optimization of IT resources because cloud solutions are almost unlimited scalability and have a great flexibility. All at a contained cost. As a general rule, in regards of GDPR regulations, Cloud solutions are not prohibited, also not necessarily risky as far as the data protection regulations are concerned. However, it is riskier to use a provider from a third country, since the risk of doing some significant data protection errors is high. With that being said, the cloud service provider cannot do anything with your data, unless you instruct them to do so and the data remain within your controllership.

 

The data protection regulations are in force since 25 May 2018, brings the following legal innovation: under the GDPR personal data may not be stored longer then needed for the predefined purpose. Therefore, retention periods must be implemented, and it must be able to delete data effectively when retention periods has expired: both for data locally stored and in the cloud. The difficulty here is that data can be stored on multiple locations, under multiple jurisdictions, by cloud service providers, and therefore there is the challenge to identify and manage multi- jurisdictional retention requirements. The deletion of data will also impose a challenge. To delete data completely, backups must be taken into consideration as well. Therefore, it is important to have a clear overview of how backups are secured, and retention is managed by your cloud service providers. In this case, Cloud users are no longer solely responsible but also the cloud provider for any violations of the law.

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Security is not equal to privacy

However, companies that use cloud services cannot stay ignorant. Although certain levels of security are required in a cloud solution, depending on the complexity of the data processing and protection of personal data, data protection may not be required. The US provider Dropbox had to give in to the strong pressure and adapt its privacy policy. However, there is still a security-related need for improvement with Dropbox and other cloud providers – for example, in the case of encryption in the case of digital transmission of documents. If needed, a company-hosted solution can be use or the technology can be deployed on its own server. This allows companies to store their data locally, without the need for a third country or subcontractor.

 

Server locations are becoming increasingly transparent

When choosing a cloud provider, questions about the frequency of backups, secure location of the server cabinet, ventilation or backup generator are less relevant today. If a company wants to use a cloud solution, the key question is which country the servers are located in. The US providers had to improve in some aspects here, in order to meet the requirements of the GDPR. While the specifications in the contracts were still relatively vague a year ago, today one has an increasingly better insight into which country precisely there data is stored. However, market-leading vendors continue to find it rather inaccurate, arguing that they need some flexibility to move an increased volume of data as needed.

 

Next step

If your enterprise is using cloud service providers, it’s very important to have a good overview of your data lineage. Its important to acknowledge where your company data is stored, how it can be transferred and what access possibilities you have to your own data. The location of your data is important to determine applicable law. You also want to check whether the security measures the cloud provider has taken are sufficient, an audit can be a good measure to do an assessment on these measures, so you want to incorporate this right in your agreements.

GDPR: Artificial Intelligences’ Major Blockage

The data protection and privacy law, which came into effect across the EU on 25thmay have a great impact on companies building machine learning systems. We know that in order to build these systems, companies’ needs large amount of data, but Big data is completely opposed to the basis of data protection.

 

According to the EU Data Protection Regulation, companies must meet three specified transparency requirements (along with other suitable safeguards) in order to better inform data subjects about the Article 22 (1) type of processing and the consequences:

 

  • inform the data subject purpose of data storage;
  • provide meaningful information about the logic involved; and
  • explain the significance and envisaged consequences of the processing.

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The logic behind is to be aware of how far this transparency provision is interpreted and whether companies have to fear or not.

 

AI is omnipresent: From the analysis of large and complex data sets such as genome data in medical research, Predictive Policing in the police and security sector to digital language assistants such as Apple’s Siri or Alexa of Amazon. Even fitness apps are increasingly relying on the use of AI and machine learning in order to be able to offer each user a tailor-made training plan optimized for them.

 

This trend has not gone unnoticed by politicians. After the European Commission presented a European concept in the field of artificial intelligence at the end of April, the parliamentary groups also took part on 26 June 2018 , to discuss over recommendations for action in the handling of artificial intelligence – especially in legal and ethical terms – by the summer break in 2020. The AI ​​concept of the European Commission also provides extensive research and development measures with the aim of promoting AI innovation in Europe.

 

Even if the use of AI does not necessarily have to be associated with the evaluation of personal data in every case of application, for example in banking and insurance, it also stays suitable for the comprehensive evaluation of personality traits (so-called “profiling” / “scoring”). According to European data protection authorities, an example of profiling and classifying is the following:

 

“a business may wish to classify its customers according to their age or gender for statistical purposes and to acquire an aggregated overview of its clients without making any predictions or drawing any conclusion about an individual. In this case, the purpose is not assessing individual characteristics and is therefore not profiling.”

 

It is therefore astonishing that the concepts of the EU Commission with regard to the data protection measurement of AI use have so far remained rather vague for companies.

 

Regardless of the admissibility of a particular procedure, these transparency obligations are often seen as extremely critical in the light of the protection of trade and business secrets. The reason for this is that the person concerned must also be provided with “meaningful information about the logic involved” and it is still unclear to what extent and to what amount this information is to be given. The key question is whether the person in charge, ie the company using the AI, is only required to explain the principles and essential elements underlying an automated decision-making process descriptively, or whether the disclosure of calculation formulas, parameters and algorithms can actually be demanded from this.

 

In any case, with the view expressed here, there is no obligation to disclose formulas and algorithms from the GDPR. The transparency provisions of the GDPR therefore only require “meaningful information about the logic involved” of automated decision-making, but not the actual publication of these logics. According to this, the responsible party owes only a description of the principles underlying an automated decision-making process, that is to say about the fundamental laws by which an algorithm makes decisions. The purpose of the GDPR obligations is therefore not (as often represented) to enable the concerned person to recalculate the results of an automated decision-making process, for example the “score” of the concerned person. This would require, for example, the specific calculation formula and the calculation parameters. Rather, in the context of the transparency provisions, for example in the context of a privacy policy, the data subject should only be given the opportunity to obtain advance information on the extent to which his data is processed by a particular service provider and, if appropriate, to look for alternatives.

 

This view is not contradicted by the requirement of “meaningfulness” of the required information. On the other side, for the average user, a comprehensible description of the underlying processes may represent a greater added value than the disclosure of the mathematical-technical logics themselves. Only by then a generally understandable description can meet the requirements of the GDPR. This requires that all information to be provided must be provided in an intelligible form and in a “clear and simple language”.

 

In summary, the GDPR lurks no real danger for the protection of know-how. Rather, their admissibility requirements and transparency obligations in the use of automated decision-making are consistent and appropriate: Human individuals should not become the ordinary “ball” of machines. If machines make automated decisions without being checked by professionals for precision, it can lead to insignificant results as well.

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