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Data Protection and Back-up Strategies For SME

 

 

Every small and medium-sized business needs a back-up strategy if the technology fails, is defective, or even cyber thieves makes important files disappear. A disaster recovery plan, as well as optimal, continuous and automated backup is a must for any business! Because 78% of the companies that were the victims of cyberattacks, had difficulties to restore their business data after a huge data theft. (Source: bitkom Research 2017).

 

Back-ups are no longer an option, they are mandatory! Entrepreneurs who believe that data backup is not necessary are mistaken. Hardware failures or blackmail Trojans make life difficult for small and medium businesses and cause serious business damage.

 

Although basic technical protection – such as password protection, virus scanners and firewalls – is available almost everywhere in the corporate landscape, the implementation and management of data storage is often undeveloped. Important business information, data and workflows must be protected, accessible and recoverable in all times. Because the analog and digital business processes are getting faster and faster and can bring heavy financial losses in case of disruptions caused by technical failures.

 

There are two types of entrepreneurs in the digital world: those who have already lost data and those who are about to lose it. For backing up corporate data, the 3-2-1 rule is recommended. In short, the 3-2-1 rule of backup means you must:

 

  • Have at least three independent copies of your data.
  • Store the copies on two different types of media.
  • Keep one backup copy offsite.

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Three methods of data backup:

 

 

  1. External storage drives (USB stick or hard disk)

The handling of copying data from A to B is simple, but this backup is just a snapshot and not an optimal solution. One must avoid an exclusive data backup on a medium. If one hard drive breaks down, then all the back-up data is gone. “

 

  1. Software with local back-up system

Continuous data storage automatically backs up data locally. This solution also covers multiple corporate sites and collects all the data in one system, making recovery simple and effective. However, this is also the crux – because a central storage location is usually confusing, maintenance-intensive and therefore error-prone. Software with a local back-up system is divided into:

 

  • Full backup: All data is stored together and regularly – the storage takes a long time.
  • Differential backup: Saves data that has been modified or recreated since the last full backup – saving storage time is slow.
  • Incremental backup: A reference to the changes since the last backup is made – the storage is even shorter.

 

  1. Cloud-based back-up

Central management of all data is possible with just a few clicks, eliminating the need for high maintenance on this solution. Restoring individual data across entire virtual processes to databases and servers takes just a few minutes.

 

There is constant development for back-up solutions in the market. Especially in the cloud sector, systems that take care of data traffic and encrypt transmitted data establish deduplication to reduce bandwidth usage. They also provide a local cache that provides instant access to recent backups.

 

The loss of data always doubles the economic damage, because the time any money spent in reconstructing the data cannot be invested in new projects. The right strategy saves time, optimizes the workforce and ultimately saves a lot of money.

 

It is important to know that not all back-up solutions are the same and some are definitely easier to use than others. In any case, companies should have more than one copy on a different medium than the server and never rely on just one method. IT security should be a high priority in the digital world. This includes the correct data backup. Correct data protection protects companies from data loss.

 

In any case, a consultation with our IT experts is advisable for a tailor-made back-up strategy to your own business processes.

 

 

Firewall, Anti-Virus software – Vulnerability management Solution and Your Data Protection

The primary objectives of VMS Vulnerability management Solution

Over the last few years, security threats to companies have grown and altered dramatically and so have the defenses. Traditional firewalls, installed over years ago, are often not best suited for current threats and don’t protect against a number of new threats.

Before jumping into the core of the subject, let’s first define what is firewall. A firewall is a piece of software or hardware that filters all network traffic between your computer, home network, or company network and the Internet. This system is designed to prevent unauthorized access to or from a private computer network. Everyone who uses the Internet needs some kind of firewall protection because all messages entering or leaving the intranet pass through the firewall, which examines each message and blocks those that do not meet the specified security criteria. One of the most important elements of a firewall is its access control features, which distinguish between good and bad traffic.

 

But as an organization, If you only protect your IT infrastructure only with anti-virus software and firewalls, you often end up in the wrong security measures. Statements such as “I have a well-maintained firewall and anti-virus software in use” or “We are too small, who cares about our data” are heard again and again.In the real world, threats have evolved over the years and firewalls have evolved to deal with them. While it is still possible to buy a packet only firewalls, that are not adequate for business use. Many SMEs are still unaware of the risks and dangers they face and the existence-threatening problems that can arise.

 

Cyberattacks are piling up – even in small and medium-sized businesses.

 

It was recently announced that the Swiss telecom company Quickline was the victim of a cyberattack. The attackers have exploited a vulnerability in the modems in use. The company was the victim of an “amplification attack” in which the attackers networked large data streams to individual Internet connections. This had overloaded the devices, which is why the faults occurred at the end customer. So far, it is not known that data was stolen or altered. The attackers could take over modems and thereby also the whole Internet traffic, coded or not.

 

What does this mean for the end customer?

 
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Every business wants to introduce themselves as they are e.g. “a trusted company”. The hackers exploit a vulnerability in your IT infrastructure, e.g. of the modem or one of your IoT devices (smart TV, smart speakers, etc.), which you may also have in your company. They can paralyze your infrastructure, delete data or encrypt it. This means that your employees could no longer work, in the worst case several days, until your IT partner has solved the problem. Or worse, suppose you also publish your customers’ tax returns or financial information. This would certainly cause very high damage to this venture. Small companies can have a huge impact on their costs, in addition to that the reputation of the company thereby takes enormous damage.

 

How do you protect yourself best?

 

To a cybercriminal, vulnerabilities on a network are hidden, high-value assets. When exposed, these vulnerabilities can be targeted for exploitation, which may result in unauthorized entry into a network, can expose confidential information, provide fuel for stolen identities, trigger theft of business secrets, violate privacy provisions of laws and regulations, or paralyze business operations.

 

New vulnerabilities appear every day due to flaws in software, faulty configuration of applications and IT gear, or just good old human error. Whatever their source, vulnerabilities don’t go away by themselves. The detection, removal, and control of these vulnerabilities require vulnerability management.Every company, in addition to a well-maintained firewall and anti-virus software, must use a vulnerability management solution.VM as vulnerability management is called, is the regulated, continuous use of specialized security tools and workflow that actively help to eliminate exploitable risks.

 

These types of solutions continuously inventory your IT infrastructure, so you can get an overview of what systems are in your network. In a second step they perform a security scan both externally and internally. It then shows you, based on a report, where your weak points are. The report shows the prioritized measures how you or your IT partner can correct the weak points.

 

Importantly, businesses understand that it is no longer enough just to have a firewall and anti-virus software. In addition, many believe that a one-time infrastructure check, every few years or 2-3 times a year, is sufficient. They forget that the IT is dynamic and 38 new vulnerabilities are identified every single day.

 

Data Privacy Policy: Consumers Trust In Organizations Diminished

The results of Veritas Technologies’ global research have revealed that consumers around the globe are less and less confident about data privacy policies held by companies and have issues with trusting the organizations to protect their personal information. With each new data leak and successful hacker attack their uncertainty grows, at a point where 38% of worldwide consumers are persuaded that most businesses don’t know how to protect their customer’s data.

 

Results also highlight that consumers want to penalize companies that are bad at protecting their data. On the other hand, companies that place a high value on data protection should be rewarded.

Consumers Trust iIn Organizations Diminished

 

In today’s competitive world, most worldwide companies need data to effectively target consumers with the right goods and services to deliver a better experience. But with the introduction of New strict compliance rules such as the EU GDPR, consumers will have more power over their data in the future. Many consumers will impose companies to better protect their personal data as they need reassurance when it comes to what personal data are companies holding, how it is used and how it is shared.

 

The new norm

 

data privacy gdpr

 

The study, commissioned by Veritas and conducted by 3GEM, surveyed 12,500 people in 14 countries including UAE. Results show that 92% of respondents are concerned about exposing personal data, 40% of respondents have no visibility into how their data is used and 83% are not satisfied with companies not knowing how to protect their data.

 

With the GDPR regulations, 65% of respondents says that they’ll request an access on their personal data that companies are holding and 71% will even ask them to delete their data.

 

Almost three quarters, 71%, of respondents say they will stop buying from a company that does not adequately protect their data. And nearly every second, 43%, would abandon its loyalty to a particular brand and switch towards a direct competitor. It can even be a worse scenario for companies because 79% say they would recommend their surroundings to boycott the organization in case of data breach and 87% claim they would report the business to regulators. 69% of respondents say they would post negative comments online about the business.

 

However, the survey also shows that good data protection pays off. So, consumers want to reward companies that protect well their data. Four in five respondents, 80%, say they would spend more money on companies they trust to guard their data. More than a quarter, 30%, of consumers are willing to spend up to 25% more on companies that take privacy seriously.

 

“Trust in consumers has been eroded by many data breaches and global scandals as companies have revealed a lack of understanding of data privacy protection,” said Tamzin Evershed, Senior Director and Global Data Protection Officer at Veritas. Consumers demand more transparency from companies and demand accountability from them. Under this new norm, consumers will reward those organizations that carefully manage data while punishing those who do not. Businesses need to prove themselves as reliable data managers in order to retain the trust of their customers.

 

Growing concerns about the collection of personal data

 

As consumer interest is rapidly growing in how personal data is used and shared by companies, the study shows that consumers are no longer prepared to share the following types of personal information:

 

  • Details about personal finance including income, mortgage (49%)
  • Details on health and medical records (24 percent)
  • Age and gender (29%)
  • Location (36%)
  • Online habits (35%)
  • Religious preferences (38 percent)

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In addition, consumer doubts about how their data is shared with companies and third parties. Nine out of ten respondents (89%) said they were worried about protecting their personal information. Almost half of the respondents (44%) say they have no idea how companies use or share their data. After all, 30 % fear that their personal information will be stolen.

 

“In light of recent events and changes in the law, consumers need much more reassurance when it comes to what personal data companies hold on them, and how it is shared and used,” said Tamzin Evershed, Senior Director and Global Data Protection Officer at Veritas.

 

“This could have significant implications for businesses that rely on collecting consumer data to provide intelligent and targeted services, such as location-based apps. The most successful companies will be those that are able to demonstrate that they are managing and protecting personal data in a compliant way across the board.”

 

Big Day for your Data – What did GDPR changed from 25 Mai 2018?

As from 25/05/2018, the new European data protection rules (GDPR) from companies and governments require that they use your data more carefully. Otherwise, companies and governments can be expose to the risk of huge penalties.
After a start-up period, companies operating in the European Union must henceforth be in line with new data protection rules. Thanks to the rise of online services, such as social media and e-commerce, more and more companies have access to your data. GDPR have to make sure that they take your privacy seriously this time.

 

GDPR compliance report from Crowd Research Partners and Cybersecurity Insiders in partnership with the 400,000+ member of Information Security Community on LinkedIn reveled thatGDPR is a priority for the vast majority of respondents (80%); for a third of respondents (34%) it is one of the top three priorities. 20% say GDPR isn’t a priority – but that won’t relieve them from having to comply with the law.

 

GDPR COMPLIANCE PRIORITY

 

What is it about?

 

As already explained in detail in our previous blog posts, the idea behind the General Data Protection Regulation (GDPR) is that you retain control over who uses your data and for what purposes. Companies that want to send you a newsletter or promotional e-mail must have your explicit permission. The request for permission must also be specific, clear and not ambiguous.
But the requirement to ask for your permission does not always apply. Sometimes a company needs your data to be able to deliver a product or service. If you want a parcel to be delivered through a webshop, it needs your address. You are then in a contractual relationship. Governments can also process data without permission as they have legal obligations to fulfill.

 

What can you expect?

 

You’ve probably received a rain of mails during the last few days and weeks. These are meant to ask for your permission to keep contacting you. But companies, if properly prepared, also present new privacy tools in the same mail. This is mostly a dashboard where you as a customer can change your privacy preferences at any time.
After all, it is not because you once gave your permission to process your data, that this always has to be the case. The new rules stipulate that you can view, modify or remove your data at any time. At least: you can submit a request for it. Companies still have a lot of work to do that.

The new rules must also allow you as a customer to ‘take’ data with you. If you changed telecom operator in the past, you had little say on what happened to your old data provider with your data. Now you have the right to have the data removed and your data, ‘in a readable format’, with you. That can feed competition.

 

What if you did not respond to any e-mails?

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We all saw emails coming in with the question from companies if they could still contact you. Companies that do not have your explicit permission and still contact you from today onwards, in theory, is illegal.

 

What are the concerns for companies?

 

The first question that every company must ask itself is whether it processes personal data. This includes the disclaimer that there are few companies that do not collect or process data. Personal data are not only limited to the data of customers, but also those of employees.
For that reason, personal data is often distributed throughout the entire company, from customer service to HR. A good first step is setting up a data register, which maps out which department processes which type of data. The company can then make a privacy statement, which lists which data are kept and for which reason. A number of specific companies that collect sensitive data on a large scale must also appoint a data protection officer from now on.

 

Are companies ready?

 

It won’t sound so shocking if I say that most of companies aren’t ready. GDPR compliance report from Crowd Research Partners and Cybersecurity Insiders in partnership with the 400,000+ member of Information Security Community on LinkedIn reveled that 60% of organizations are at risk of missing the GDPR deadline. Only 7% of surveyed organizations say they are in full compliance with GDPR requirements today, and 33% state they are well on their way to compliance deadline.

GDPR PREPAREDNESS

 

What are the challenges in GDPR adoption?

 

Up-mentioned study shows that the biggest challenge in GDPR adoption is related with lack of expert staff (43%), followed by lack of budget (40%), and a limited understanding of GDPR regulations (31%). A majority of 56% expect their organization’s data governance budget to increase to deal with GDPR challenges.

COMPLIANCE CHALLENGES

Who checks and what are the fines?

 

The majority of the GDPR regulation is a repetition of previously existing principles. The big difference is that European companies that are too lax with your data can now be hit in their wallets. With a maximum of 20 million euros or 4% of the annual turnover.

Machine Learning: Guardian of Cloud Data Protection

Data is knowledge and knowledge is power. In the progression of digitization, the amount of data that companies process daily is growing progressively. This is also reflected in the increased use of cloud applications in recent years.

 

Corporate data is accessible around the clock, enabling efficient workflows and, at least at first glance, less administrative operating cost for the IT department. However, for organizations, this outcome is only brought into perspective when they consider cloud usage for the security or their data. The associated risks and new threats require advanced and secured technologies to ensure the protection of corporate data.

 

Malware Threat – Target to Cloud Data 

 

As the currency of the digital age, the growing amount of data in the cloud has long since become a remarkably attractive target for hackers. A frequently used attack vector is currently the introduction of malware into cloud applications via social engineering, for example through spear phishing attacks. Securing data in cloud applications is still largely left to users. While some public cloud providers provide few basic protections to detect threats in the cloud. However, as the results of a recent Bitglass experiment have shown, their effectiveness is limited: as part of their current security study – tracking cloud infection- the Bitglass Threat Research team tested integrated malware protection of the popular enterprise cloud such as Google Drive and Microsoft Office 365 cloud applications. In collaboration with Cylance, it used a previously unknown form of ransomware called Shurl0ckr, a variant of Goijdue malware. ShurL0ckr is ransomware-as-a-service, meaning the hacker generates a ransomware payload and distributes it via phishing or drive-by-download to encrypt files on disk in a background process until a Bitcoin ransom is paid. Although the malware protection of Google and Microsoft already knew the related Gojdue ransomware, both applications did not recognize Shurl0ckr as malware. In the case of an unknown threat, the protective mechanism has failed.

SaaS apps contained malware

Many anti-malware mechanisms are still reactive and detect malware based on file properties stored in a database. The whole thing has to be something like a puzzle game: the malware protection checks whether the new malware fits into an existing puzzle game. In the present case it was like a puzzle piece where an edge or corner was slightly changed. Since it did not fully fit the existing “malware template”, it was considered safe, although it would have met the majority of the necessary properties. In the long run, if organizations won’t consider a security approach for this progressive professionalization of cybercriminals they risk having ever more sophisticated attacks.

 

Agile protection of cloud data with machine learning

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Many roads lead to the cloud – and there are many ways to inject and distribute malware. The multiplicity of users and accessibility, as well as increasingly sophisticated security threats, require a dynamic security approach that can make a far-reaching risk assessment and automatically apply appropriate policies. Machine Learning is currently the most effective approach to effectively protecting enterprise data on and off the cloud.

 

Machine learning algorithms are already being used in speech recognition software or in ERP systems for managing data. This technology is now also finding its way into cloud security solutions, such as Cloud Access Security Broker. Instead of risk assessing traditional signature-based solutions built solely on specific data profiles, machine learning uses in-depth property and behavior analysis and makes a decision that automatically applies the implemented policies. If a file is considered a likely threat, it can be blocked if users attempt to upload it to the cloud or download it to a device. In this way, Machine Learning provides a holistic approach to enterprise data across all enterprise cloud applications and provides advanced threat control capabilities.

 

For example, if a user downloads a malware-infected file from a Web site, saves the file to the cloud and creates a potential corporate vulnerability, it will be automatically detected and marked. Machine learning solutions continuously monitor all files and applications in the cloud. They automatically check every upload and download of files for malware. Once the malware risk has been reported through machine learning protection and eliminated by the security team, the solution automatically grants users full write access. In this way, the solution provides security, but at the same time ensures a high degree of user-friendliness, since no interruption of the work processes is required.

 

Data-driven cloud guard

 

For cloud applications, machine learning algorithms are ideal, since large amounts of data are the most important prerequisite for their reliability. Most algorithms do not operate data-efficiently if only a small amount of data is available, they lack the necessary experience, in a specific case to make the right decision and to apply the appropriate directive. People only need to look at an object once – for example, a laptop – in order to be able to recognize it as such in the future in a modified form. Machines, on the other hand, require a wealth of experience, that is, dealing with many laptops in order to reliably identify. For example, machine learning solutions that receive less data are not as “intelligent” as solutions that handle a high volume of data from different environments. The more files that are analyzed and the more malware detected, the better the accuracy.

 

Thus, the use of machine learning marks the logical response to the growing amount of data and the changing security situation through cloud usage. Likewise, the automation of security mechanisms is the next step in the digitization process.

 

While malware is not a new threat, many companies fail to defend against its modern forms; relying solely upon endpoint or native cloud security is no longer adequate. Organizations must now adopt cloud solutions that defend against known and unknown malware as they are uploaded to applications, downloaded to devices, and resting in the cloud.

When is a Cloud Service Provider GDPR-suitable?

Cloud providers are much more committed to the Data Protection Regulation (GDPR) than before. As of 25 May 2018, the new regulation on the processing of personal data will apply – but what exactly does that mean for us as a cloud user? How do you know if a service or provider meets GDPR requirements? And when does a cloud service actually qualify as a GDPR -compliant?

 

The values governing the processing of personal data are initially governed by Article 5 (1) of the GDPR; Further regulations can be found, inter alia. in Articles 25 and 32. In what follows, explanations on main demands are, especially in relation to cloud services, can be found.

 

Data must be processed lawfully and fairly – GDPR Art. 5

 

The processing of personal data in the cloud is legal only if the data subject has consented or if another legal basis exists. The data processing must take place in a manner that is comprehensible to the person concerned, i.e. the cloud provider must be able to provide clear guarantees as the transparency is now included as a fundamental aspect of these principles.

 

Confidentiality, integrity and availability – GDPR Art. 5.1 f & Art. 32

 

The data must be processed in a manner that ensures adequate security of the data, including protection against unlawful processing, loss or damage. Furthermore, the processing must not be expected to breach the dignity of the persons concerned or to restrict their freedoms.

 

Security and state of the art processing- GDPR Art. 32

 

During the processing, a sufficiently high security must be guaranteed. The legislator demands that the level of security be constantly improved and always based on the so-called “state of the art” methods.

 

Privacy by Design and Privacy by Default – GDPR Art. 25

 
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Taking into account the state of art, Data protection must be guaranteed by privacy-friendly technology design (Privacy by Design) and privacy-friendly default settings (Privacy by Default).

 

Accountability – GDPR Art. 5.2, Art.28, Art 30 & Art.35  

 

Basically, the controller is responsible for compliance with all mentioned requirements and must be able to prove this in advance (accountability). He must include the processing in the cloud in his directory of processing activities and, if necessary, conduct a risk analysis, a so-called privacy impact assessment. The controller now shares this responsibility with the cloud provider, who in turn also has to provide sufficient guarantees that the requirements of the GDPR are complied with.

 

Processing – GDPR Art. 28

 

In cloud computing, the user orders the provider to process the data. In order for the cloud user to be able to live up to his responsibility to the data subjects in this case too, he ensures his agreement with the cloud provider with an order processing agreement that also fulfils the requirements of the GDPR. Part of such an agreement must be that the cloud provider provides all information necessary to demonstrate compliance with the requirements.

 

Proof by certificates

 

Of course, for you as a cloud user, it is difficult and almost unacceptable to check compliance with these requirements yourself. It is helpful that cloud providers can use an “approved certification process in accordance with Article 42 to demonstrate compliance with the above requirements. Although no “approved” certificate is yet available, this does not mean that certificates specifically aimed at the requirements of the GDPR cannot already be used as proof of GDPR conformity.

 

For example, the Trusted Cloud Data Protection Profile (TCDP) was developed with respect to the GDPR. Certifications according to the TCDP should be converted into certificates according to the GDPR standard after the extension of the procedure and standard test. With the research project “AUDITOR” there is also a follow-up project to the TCDP, whose goal is the conception and implementation of an applicable EU-wide data protection certification of cloud services. The first catalog with certification criteria should be completed by the end of April 2018.

 

So, if you choose a cloud service that is TCDP certified, you’re already on the safe side; From the deadline of May 25, you should additionally ensure that the conversion into a certificate according to the GDPR standard actually takes place or that the service proves compliance with the GDPR with another suitable certificate.

Smart Cities – Privacy, Security, #CyberAttacks and #DataProtection


Smart city components

“Smart cities” is a buzzword of the moment. There is currently no single accepted definition of a “smart city” and much depends on who is supplying the characteristics: industry, politicians, civil society and citizens/users are four immediately and obviously disparate sets of stakeholders. It is easier perhaps not to define smart cities but to elaborate their key features in orser to better understand this concept. The connecting key infrastructure that is most often mentioned as making cities “smart” includes:

 

  • networks of sensors attached to real-world objects such as roads, cars, fridge, electricity meters, domestic appliances and human medical implants which connect these objects (=IOT) to digital networks. These IoT networks generate data in particularly huge amounts known as “big data”.
  • networks of digital communications enabling real-time data streams which can be combined with each other and then be mined and repurposed for useful results;
  • high capacity, often cloud-based, infrastructure which can support and provide storage for this interconnection of data, applications, things, and people.

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Scanning through numerous smart city projects and initiatives undertook, eight key activities can be identified that often define a smart city, ie: smart governance, smart infrastructure, smart building, smart connectivity, smart healthcare, smart energy, smart mobility and smart citizens.

 

A European survey shows that the benefits of smart cities are obvious, but IT security and technological challenges are a major barrier to their acceptance. Ruckus, a network connectivity provider, has published the results of its Smart Cities Survey with UK market research firm, Atomik Research. The survey surveyed 380 European IT decision-makers from the public sector.

 

The aim of the study is to understand the attitudes towards the implementation of smart city concepts and to learn what opportunities they offer to the industry. The majority of respondents (82%) believe that smart city technologies are helping to increase citizens’ security and reduce crime rates, for example via smart lighting or networked surveillance cameras. Although the benefits seem to be well known, fears of cyber attacks are a major barrier to the Smart City. For 58% of the IT decision makers surveyed, the biggest problem is followed by a lack of technology infrastructure and funding.

 

Benefits of citywide connectivity

 

The survey results show that the infrastructure and technology platforms created for Smart Cities could be used to add significant value to the public sector and to develop innovative applications that directly address citizens’ needs. Other areas that benefit from the smart city model include local health (81%) and transport (81%), which provide greater access to public services for citizens through extensive networking. According to IT decision-makers, smart city concepts also provide crucial benefits for the security of citizens (72%), public transport (62%) and the health service (60%).

Nick Watson, vice president of EMEA at Ruckus, said: “A basic understanding of the benefits to citizens shows that policymakers are aware of the benefits of this technology. As the return on investment becomes clearer and smart cities become more and more commonplace, targeted advocacy will allow organizations to work together to make the city of the future a reality. Of course, given the amount of sensitive data that could be divulged, it is not surprising that security concerns play a big role. Only a           secure, robust and reliable network will allow to address these concerns and create a secure foundation for smart cities. “

 

Benefits of smart cities

 

The survey shows that the public sector is well aware of the added value that smart cities has to offer. Almost two-thirds (65%) of respondents said smart cities bring benefits. 78% of respondents said that they recognize that there are strong economic reasons for investing in smart city concepts. These reasons include firstly the credibility of a smart city (20%) and future infrastructure (19%). On the other hand, there is the related attractiveness, which leads to the resettlement of companies (18%) and suggests that the true value of smart cities lies in generating revenue and boosting the local economy.

These findings are a positive step towards ideal framework conditions in which smart cities can successfully develop. To make smart cities a reality across Europe, it takes an overarching approach involving all departments of a city. However, the Ruckus survey also found that isolated projects (39%) still pose a major barrier to smart cities.

Although lack of funding is seen as the third most obstacles to rapid implementation, 78% of respondents across countries expect to have the budget for smart city solutions by 2019. This should also be facilitated by promotional announcements such as the Wifi4EU program. It gives cities the security that the infrastructure will be available to support smart technologies.

 

Overcome barriers

 

To provide these services, a stable public WiFi network is crucial. 76% of respondents agree that this is the most important factor in successfully implementing smart city concepts. 34% agree that Wi-Fi is more important than a wired network. Wi-Fi is probably the preferred infrastructure because people are familiar with it and it gives everyone access to information. If you want to be able to connect with your citizens and use the services you offer more effectively, you need a suitable infrastructure to connect with the public in a way that benefits them.

WLAN is the “glue” for intelligent cities’ network. It makes it easier to distribute the load and reduces connection problems. The access point at the edge of the network is the ideal interface that acts as a message broker by delivering traffic, performing and returning simple data processing, and placing the software through controllers.

However, not all WLAN technologies are the same. Power supply (53%), interference (52%) and backhauls (45%) are the biggest obstacles to setting up a public WLAN infrastructure. 51% of IT decision makers called the consolidation of existing networks as another crucial obstacle. This is particularly important because the number of connected devices is increasing at a time when existing networks are not prepared for the exponential growth of data consumption. IT decision makers have the clear task of choosing the right technology partner to meet the technological needs of their city.

For Ruckus, the findings of this study are an opportunity to engage in dialogue with various public-sector organizations on how smart city technologies and a public Wi-Fi network can add value. The survey shows that WLAN is considered necessary for the creation of smart cities because:

  • It gives access to everyone information (71%);
  • it delivers the necessary infrastructure to offer additional services (70%);
  • it overcomes the digital divide between citizens (67 percent);
  • it is cheaper for governments (61%);
  • it could lead to better service (37%);

The research shows that Wi-Fi is a key contributor to helping smart cities deliver reliably and sustainably, but along the way, European policymakers still have some obstacles to overcome. It is reassuring to see that there is a widespread belief that smart cities add value to society. But if the government and the public sector are not investing in the right technology, then they risk missing the numerous opportunities for cities, citizens and themselves.

#GDPR: Does your Business comply with the new #DataProtection requirements?

Our data is one of our most prized asset. As an organisation, our clients entrust us with this data. In our vision data and its security must be critical for each operations, innovation and competitive position. As an enterprise, you can be more successful in your respective line of business when you manage to get your data security right.

 

Therefore, the EU’s GDPR brings data protection legislation into line with new, previously unforeseen ways that data is now used. This wide Basic Data Protection Act (EU-GDPR) can be very complex and opaque. IBM Security has developed a five-phase framework to help organizations implement the mandatory regulation from 2018 onwards.

 

In addition to that, IBM Security has also worked in the past to create a service that will help companies prepare for the upcoming GDPR. Instead of accessing complicated, multi-dimensional matrices or diagrams, a simple framework was compiled.

 

Step by Step GDPR

 

Each journey begins with the first step, and so IBM Security has also extracted five separate steps for the journey to GDPR’s expertise. This allows companies to fallow a step by step guidelines through the five, to the point, phase framework. The framework also takes account of the fact that each company will have its own needs during the process. Therefore, it is designed as simply as possible.

 

Based on the main focus of the GDPR, the five steps within the framework are subdivided into the areas of data protection and security. Since both areas are closely interwoven, IBM Security has selected the following area definitions for us: In the field of data protection everything is about what data is collected and why they are managed, shared, processed and moved around. Security, on the other hand, is much more concerned with how data can be controlled and protected. This also means that within a company, security can be achieved without data protection, but no data protection can be guaranteed without adhering to security standards.

 

The five-phase framework for the GDPR

IBM’s GDPR Framework

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The approach for a basic GDPR expertise in five steps is the fallowing:

 

Phase 1: this first step is related to company assesses. It is necessary to examine which of the collected and stored data are affected by the GDPR guidelines. A plan is then drawn up to reveal this data.

 

Phase 2: is about the company’s own approach, a solid plan that governs the collection, use, and storage of data. This approach is based on the architecture and strategy on the basis of which risks and company objectives are exploited. Designing privacy, data management and security management are top priority.

 

Phase 3: the company’s way of doing are rethought. It is important to understand that the data gathered so far are as valuable to the people as they are to the company. At this point, sustainable data protection guidelines have to be developed. However, it is also about introducing safety controls and administrative controls (also: TOM – Technical and Organizational Measures) and appointing a Data Protection Officer so the GDPR training can be delivered to the right persons for the job.

 

Phase 4: in this phase, companies are ready to implement their data protection approach. Data streams are continuously checked from this phase, and access to data is monitored. In addition, security checks are performed and unimportant data is deleted.

 

Phase 5: the company is ready to comply with the GDPR guidelines. From then on, all requests for access, correction, deletion and transmission of data are met. In addition, by documenting all activities, the company is prepared for possible audits and can, in the case of a data lap, inform regulators and affected parties.

 

Above is the direct approach of IBM Security to make companies fit for GDPR. The way to get there is not always easy, but the framework should at least show it more clearly. Companies are themselves responsible for compliance with the applicable regulations and laws, which are included in the EU-GDPR. Note that IBM does not provide any legal advice and does not warrant that IBM’s services or products comply with applicable laws or regulations.

#SaaS and European Legislation on #DataProtection

This article presents a summary of the legislative and regulatory aspects that European companies must take into account when choosing a SaaS provider. Particularly in terms of #DataProtection. When choosing a SaaS provider, companies must implement a checklist with controls and negotiations that they would apply if they work with a relocated service provider for their IT operations.

EU-Data-Protection-Regulation

The main features of Software as a Service are as follows:

 

– The user accesses the application via the Internet.

– The cost depends on the actual consumption of the service (software).

– The supplier of the application (software) is responsible for its maintenance and availability.

 

Typically, when a European company adopts a cloud service, it’s responsible for how the SaaS provider processes its data, not the other way around. Due to some uncertainty, as to how and where the SaaS provider will store the data, there is a risk that it may overstep on its customers national or European regulations, which impose strict controls on the processing data of outside the European Union.

 

In SaaS solutions, the client company data is stored on the servers of the provider. This may include personal data or sensitive data such as health data. This relocation of the data implies respecting their confidentiality and ensuring their safety. The contract must frame the risks and remind everyone of their obligations.

 

In accordance with the 1995 European Data Protection Directive, which was transposed into the national law of 27 EU Member States, the transfer of personal data outside the European Economic Area (EEA), including the countries of the European Union (plus Iceland, Liechtenstein and Norway) is prohibited unless certain conditions are met. By transfer, the Directive implies that the data will be processed in one way or another in a non-EEA country; On the other hand, the transit of data via these countries is authorized.

 

For Directive, personal data is equal to any information concerning an identified or identifiable natural person. This broad definition may include various information about a person, such as name, address, IP address, or credit card information.

 

Cloud Computing = Outsourcing?

 

Outsourcing is the well-known method whereby a third party supports one or more company functions, which often lack resources (time, expertise or both). It is common, for example, to outsource a project that requires an increase in resources or a function that will no longer be useful once the project is completed (one-time need for development, software integration, etc.).

 

With cloud computing, companies do not realize that they need to take the same precautions as outsourcing. Personal data may be transferred outside the EEA if they are processed in a country on the European Commission’s list of countries or territories which provide adequate protection for personal data. (Visit the European Commission website to check countries list ).

 

The United States is not on the list of countries approved by the Commission, but data can be transferred to US companies that have signed the Safe Harbor agreement requiring them to apply seven principles for the processing of information under the supervision of the Federal Trade Commission.

 

If a country is not on the European Commission’s list of approved non-EEA countries, companies or service providers may take other measures to provide suitable protective policies for personal data and enable their transfer.

 

The security of the SaaS provider must be evaluated by the companies

 

In addition to these measures, companies considering SaaS and wanting to avoid the failure to comply with #DataProtection laws generally have to prove that they have evaluated the safety of the supplier and specified measures to protect personal or other sensitive data processed by the supplier.

 

These measures may include asking the supplier a security evaluation from a third party, requesting that the data must be encrypted during transit, checking the provider’s data retention and destruction policies, setting up audit trails or the data and obtain information about any third-party company with which the supplier could share data.

 

With that being said, companies should not just look at data protection legislation when they want to adopt SaaS. Thus, national laws on financial legislation in EU countries limit the places where companies can store financial information. For example, European companies must keep electronic invoices for five to ten years. In addition, amendments to the European Council Directive 2010/45 / EU stipulate that this information must be stored on servers located either in the country of establishment of the undertaking or in a neighboring country providing access to the relevant tax authorities.

 

Confidentiality of Data

 

The confidentiality of data hosted in Cloud is today the most important of the brakes for the companies wanting to use this service. The standard of confidentiality becomes very important when the hosted data presents a strategic content for the company or when it can be considered as personal data.

 

The confidentiality of the data may be called into question by members of the service provider or the client company, as well as by a person totally outside these services. It is therefore necessary to put in place, a high level of security, for access to these data, especially if they are accessible via the Internet. The confidentiality of data can also be undermined by regulations applicable to the claimant, especially if the applicant is domiciled in the United States.

 

As the SaaS market matures, it is becoming increasingly simple to use these services without fear of breaking the law. Over the years, we have seen the evolution, the contracts have grown and different models have been set up on both the customer and the service provider’s side.

 

Source: 

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5 Pitfalls in Data Protection Strategy

The new digital era requires that the data protection strategy must not be limited to simple backup and recovery system. The evolution of data center requires disposing of a solution for protecting data to which companies can entrust their business and career.

A well thought out data protection strategy is a key differentiator for your business because it helps you with fallowing points:

 

  • eliminate complexity and access interruptions to IT services;
  • reduce inefficiencies within the team and operating expenses;
  • make faster decisions on reliable information and reflect strategically;
  • accelerate the return on investment.

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Exploring a variety of data protection solutions, from physical to virtual and private clouds to public clouds, while ensuring scalability of the company, is a long and tough journey filled with pitfalls.

Here are five pitfalls to avoid at all costs in developing an effective strategy for data protection.

 

    • Adapt new technologies and save yourself by falling to the wayside:
      By stop being a cost and finally promote the company’s activity center requires an IT more agile and responsive to business user’s needs and risks. The rapid adoption of new technologies, whether virtual machines or deployment strategies in the cloud is a way for IT to respond quickly to new requirements.But this can lead to new inefficiencies if we keep using basic solutions for our data protection. According to Gartner, “Enterprises need a global protection strategy to manage the diversity of data and workloads via a solution or a single platform, and should avoid multiple point of solutions, which can cause more costs and time waist.Choose a unified platform for data protection with the flexibility and scalability to meet current and future needs of your business. Contact a supplier, such as Xorlogics, recognized for its expertise of both classic environments (on site) that virtualized and cloud, always at the forefront of technological developments.

 

    • Save your staff productivity:
      Companies today are struggling with huge data volume and colossal infrastructure deployments and are growing, weighing heavily on the budgets and IT staff capabilities. According to ESG, “64% of IT budgets are used to ensure the proper function of existing operations, often by doing as we have always done.”Now we all understand that it’s difficult to meet new demands when one spends so much time in routine processes. Migrate your home media servers to integrated backup appliances is a way to recover a lot of work hours which you can use elsewhere. Indeed, home media servers mobilize time, either to acquire, install and integrate, manage, apply their patch or update. In addition, to which provider do you contact in case of problems?Integrated appliances enable you to consolidate multiple disparate point products and thus increase the effectiveness of your team and the use of resources. So we suggest you to select a provider that allows you to choose an integrated appliance. This will save valuable time for your IT staff, who can then devote to more strategic projects. Studies show that it is normally possible to reduce 30% operating expenses (OpEx) and return on the initial investment in 15 months.

 

    • Impossible to protect what we can’t see:
      For many companies, Oracle is the leading database solution. But in many cases, the team responsible for the implementation and the responsible for data protection have no visibility on their mutual process. If the database application and data protection software are not closely related, both teams can see what the other is working on. This can lead to gray areas where the team responsible for data protection isn’t able to know if backups have been made and where they are stored, while none of the two groups has full control on Data protection.Knock down those barriers through an integrated solution providing backup administrators and those databases the same visibility of data protection, with self-service functionality to maximize their effectiveness. Look for a solution that allows Oracle administrators to continue to use their preferred tools and provides backup administrators the expected visibility. Or contact Xorlogics to create a situation that can be benefit to both groups and protect applications in reliable and flexible way.

 

    • Stop wasting on unnecessary licenses:
      Every transaction has a cost, whether withdrawals in ATMs, credit cards or of holding checking accounts. But some companies even pay software license fees to create additional copies of their own data. Does it sound logic to you? What’s reasonable for us is ONLY to pay for the data you want to protect. One must be able to make as many copies they want of their data without paying any extra fee of it.Unfortunately, many providers charge back-end treatments. Every time a backup is performed or even a copy to another location, one is forced to pay additional license fees. It is quite unusual since the purpose of a backup is precisely to have several doubles in multiple locations!Claim software licenses calculated based on the front end capacity you want to protect. In addition, you must have separate licenses for software and hardware in order to best protect your investment. Independent software licenses give you the flexibility to redeem your licenses from a home media server and appliance, or move them to a new or larger appliance. This dual approach allows you to say goodbye to unnecessary spending on software licenses, and prevents you to buy these licenses whenever you upgrade the hardware platform.

 

    • Modulate the degree of protection: 
      Today, companies have very little visibility into their data infrastructure: they are unable to distinguish between important and simple data. This produces considerable inefficiencies, since all data must be treated equally, whether it’s customer’s data or just employee’s personal videos. It is extremely difficult to have a Strategic reflection and improve the effectiveness of data protection if all the data must be protected in the same way.
      Companies need to have visibility and understanding of their data to manage and protect them in full knowledge of the facts. Knowing where the data resides, know their type, identify their owner and seniority are all factors of prime importance. This knowledge can improve the efficiency of your team and reduce costs, especially on primary storage and the one dedicated to data protection. Look for a solution that already includes an understanding of the type of data you have to avoid excessive or unjustified charges. And choose one that fits your backup solution in order to follow easily the continued growth of your applications and your data.

 

Xorlogics can meet all these challenges by providing customized solutions designed for your specific needs, with which no other product provider can match. We collect the approved solutions, innovative technologies and professional services to meet the needs of our customers in terms of data protection. So don’t hesitate to fill this form and let our experts help you out!

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