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Blogger & Online Community Manager at Xorlogics with an excellent familiarity with various Internet resources, expresses a keen desire to learn/excel on Web Marketing for the benefit of the organization.

Why Enterprises Must Switch to Windows 10

Why Enterprises Must Switch to Windows 10

Many companies are still reluctant to switch from Windows 7 or 8 / 8.1 to the current Windows 10. Because Microsoft has changed its release concept and now brings updates every six months. IT managers fear that they will be overrun by update projects in the future.

But given the announced support end for Windows 7 in 2020, a switch is unescapable. This article explains how an IT organization should proceed once the dice have fallen in favor of Windows 10 – and why you should rely on processes for the “day after” rather than on the LTSB (Long-Term Servicing Branch) version.

 

According to StatCounter, at the beginning of the year, the worldwide adoption of Windows 10 among Windows users had already surpassed the 30% mark, with its market share of 42,3%. However, this high market penetration primarily comes from the consumer segment: in many companies, IT departments are still reluctant and hesitates the transition to the current version of Windows.

 

Modern release cycles

Together with Windows 10, the release policy was also modernized in Redmond: Following the example of agile software development, the software house announced a continuous update based on the “Rolling Releases” principle: “Windows as a service” is the goal. Every spring and autumn (“semiannual channel”), there are updates for the Windows 10 variants Home, Pro, Enterprise and – for the education sector – Education. These can contain not only bug fixes but also new features. Thus, the users should benefit constantly from functional innovations and security updates.

 

Windows automatically downloads and installs updates in the Current Branch (CB) release track, intended for both home and business users. With the “Windows Update for Business” option, administrators can defer security patches for up to 30 days for test purposes, and feature upgrades for up to 365 days. Only the release branch “Long-Term Servicing Branch” (LTSB) maintains the familiar two to three-year interval between operating system iterations.

The half-yearly renewal rhythm, according to Microsoft, should provide development in the company. However, so far many IT organizations have remained suspicious of the expense of migrating to Windows 7 or Windows 8 / 8.1 across the enterprise. The fear: Due to the greatly shortened OS update cycles, one could in the future permanently have to struggle with the updating of the client systems.

 

LTSB is usually not an option

Officially, LTSB is a specialized edition of Windows 10 Enterprise that promises the longest intervals between feature upgrades of any version of the operating system.

Many IT leader consider the idea of ​​simply migrating all clients to Windows 10 LTSB hoping that the update projects will proceed as usual. However, this approach is not advisable: the approach leads to a dead end!

 

Because Microsoft has provided LTSB only for those endpoints whose software image permanently remains virtually unchanged, so for example, cash register systems, ATMs, medical equipment or control computer on production lines, as they perform a single important task so it’s more important that these devices be kept as stable and secure as possible than up to date with user interface changes. On the other hand, LTSB is not intended as a release option for office computers – and that sooner or later becomes noticeable.

 

For example, the LTSB variant does not have the modern, sleek edge browser that Microsoft introduced with Windows 10. This could be dismissed as a detail – but it is an indication that the LTSB channel can always be cut off from the Windows client world. For example, this does not guarantee that the next version of LTSB will work with Microsoft Office 365 as well.

 
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Process instead of project

So, if staying with the familiar through LTSB is not a viable option, how would an IT department prepare for The Day After? It is important here, above all, to understand the upgrading step in Microsoft’s release policy on the organizational side: the IT department must say goodbye to the OS Migration project and replace it with a “process OS migration”. It needs to establish a standard way to handle the bi-annual update of the client operating system through multiple rollout waves. The individual project must become a set of standard tasks that the client management team can execute.

 

On an organizational level, change and release management can be oriented towards the standard processes of the Service Management Framework ITIL or alternatively the use of the Microsoft Operations Framework (MOF). Even for Cobit-experienced IT organizations (Cobit: Control Objects for Information and Related Technology), the transition to a standard OS migration process should be easy. In addition, software support is required on a technical level in order to be able to implement the planned processes as highly automated as possible.

 

Unified Endpoint Management

The standard gole for such automation of regular OS updates today are so-called UEM solutions (unified endpoint management). Endpoint management tools can be called “Unified” if they are able to provide centralized management and control for traditional clients (PCs, notebooks) as well as for modern mobile devices (smartphones and tablets with iOS or Android).

 

It is important to have such a management functionality covering device classes from a single dashboard in order to avoid de-duplication of management tools. In addition, there are more and more modern devices such as Microsoft’s Surface Pro, the existing boundaries between the traditional device types break. Such hybrid devices are likely to become increasingly common in the future, not least thanks to the Windows 10 introduced management of the modern mobility management layer and the “Universal Apps”, which can be operated depending on the device or preference by touch or keyboard and mouse.

 

Modern UEM solutions are based on a workflow engine. It allows the IT organization to define processes of UEM tool and then processes automatically. Ideally, a UEM solution allows programming-free creation and customization of workflows through an intuitive graphical interface. Ultimately, even an employee in a specialist department could set their own workflows without having to resort to the help of the IT department.

 

Reprovisioning

A state-of-the-art UEM solution not only supports Wipe and Load for OS migration, but also the removal of newly acquired devices, followed by uploading company-owned software images. Likewise, it must support an in-place migration, ie the upgrade of Windows 7 or Windows 8 / 8.1 or an older Windows 10 version while retaining the applications and settings.

 

Reprovisioningprocess support for which Microsoft has been introduced is no more required.As, a newly procured device is registered with the manufacturer or supplier for the customer company. This way the distributor can deliver it to the end user. He then only has to enter a few key data such as the national language and his company e-mail address; then the new terminal is automatically unrestricted from preinstalled unnecessary software and recorded with the software intended for its user (reprovisioned).

 

Furthermore, a modern UEM solution must be designed for today’s self-service processes: Once the company’s own software is provisioned, the end user can order desired software packages and services via an Enterprise Self-Service Store IT department. Such an enterprise self-service unites the wishes of today’s users for the self-design of their work environment with the central control of the IT organization, which is absolutely necessary for security reasons as well as with regard to the EU-GDPR (General Data Protection Regulation).

By means of process orientation and UEM-based automation, the introduction and upgrade of Windows 10 is no longer a mountain to climb, but only a comfortable walk-up hill. At the same time, self-service-based UEM gives IT new freedom to concentrate on its core business: to support the business with efficient solutions.

Privacy Please : How GDPR Will Impact Video Camera Surveillance

The DPA requires organizations to protect any “personal data” that they hold relating to individuals. Personal data is not just restricted to written text; CCTV recordings also fall within the scope if individuals can be identified from them.

The Information Commissioner’s Office (ICO) issued its first code of practice under the Data Protection Act 1998 (DPA) covering the use of CCTV in 2000. The code was developed to explain the legal requirements which operators of surveillance cameras were required to meet and promote best practice.

 

GDPR + cameras law

 

Since these images contains identifiable individuals,this information can be used to identify these people either directly or indirectly (i.e. combined with other pieces of information), it qualifies as personal data, therefore the GDPR applies. Almost each institutions and bodies have video camera surveillance in operation on their premises, they’ll have to review the law of GDPR.

Placement of Video Camera Surveillance in the workplace, to ensure safety and health, protection of company assets, control of the production process and control of the employee’s work is and remains governed by CTC no. 68, and not by the “camera law”. However, it often happens that only one camera system is used for both personnel and customer surveillance. For example, cameras placed in supermarkets. From 25 may, images of both profile’s privacy will have to be respected.

 

Until today the placement of a camera was reported in advance to the Privacy Commission, from May 25, 2018, only the police must be informed. For existing cameras, a deadline is until May 25, 2020 to notify police services. Subsequent changes to the CCTV installation (adding a second camera, for example) should also be reported.

 

The public register maintained by the Commission for the Protection of Privacy therefore disappears but is replaced by an obligation for the person in charge of the CCTV system to keep a written record of the image processing activities of implemented surveillance cameras. This register should be available on request to the police and the Data Protection Authority.

The purpose and the legal source of the management that will have to be specified in the register will most certainly be the surveillance, justified by the legitimate interest of a company to secure its premises.

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Designation of a data protection officer

 

Data Protection Officer’s designation is mandatory where the basic activities of the controller or processor consist of processing operations which, by their nature, scope and / or purpose, require regular and systematic monitoring to a large extent.

Guarding companies will certainly have to appoint a delegate. Others will need to value whether video surveillance is part of their core business and whether it is done on a large scale. This is especially so since the appointment of a data protection officer will not only concern the processing of camera-surveillance images, but procedures carried out by a company.

 

Rights of filmed people

 

The rights offered by the GDPR to the concerned persons will also concern the images filmed about them. This will allow them to access images, have them rectified, erase or limit their processing. They should not motivate their desire to access the images, but only give indications sufficiently detailed to allow the controller to find the images about them.

 

However, these rights only concern the images on which the person concerned appears. The GDPR cannot be appealed to view images that were recorded before or after the filmed person’s passage. A person who forgets a bag on a station platform will not be able to ask to see the pictures taken after the departure of his train. Similarly, when a robbery took place during the vacation of the owners, only the police can view the cameras of neighboring buildings.

Cyber-Crime : Attackers Have 7 Days To Exploit a Vulnerability

The analysis by Tenable Research shows that cybercriminals have an average of seven days to exploit a vulnerability. During this time, they can attack their victims, potentially search sensitive data, launch ransom attacks, and inflict significant financial damage.

Only after an average of seven days do companies investigate their networks for vulnerabilities and assess whether they are at risk.

 

The Tenable Research team found that cybercriminals need an average of 7 days to exploit a vulnerability as soon as a matching exploit is available. However, security teams on average only evaluate new vulnerabilities in the enterprise IT network every 13 days.

The evaluation is the first, decisive step to determine the entire cyber exposure in today’s modern computing environments. The term cyber exposure describes the entire IT attack surface of a company and focuses on how those responsible can identify and reduce vulnerabilities. The timing gap means that cybercriminals can attack their victims as they like, while security teams are in the dark about the real threat situation.

 

The Digital Transformation has significantly increased the number and type of new technologies and computing platforms – from cloud to IoT to operational technology – and has increased the IT attack surface. This changed IT attack surface almost inevitably and leads to a real flood of weak points. However, many companies do not adapt their cyber exposure to the new realities and continue to run their programs in fixed cycles, for example every six weeks. However, today’s dynamic computing platforms require a new cybersecurity approach. Delays are a cybersecurity issue right from the beginning, also because security and IT teams are working in organizational silos. The attackers benefit from this because many CISOs struggle to gain an overview of a constantly changing threat landscape and transparency. Additionally, they have trouble managing cyber risks based on prioritized business risks.

 

The study results showed:

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–       That in 76% of the analyzed vulnerabilities the attacker had the advantage. If the defender had the advantage, it’s not because of their own activities, but because the attackers could not access the exploit directly.

–       Attackers had seven days to exploit a vulnerability before the company even identified it.

–       For 34 % of the vulnerabilities analyzed, an exploit was available on the same day the vulnerability was discovered. This means that attackers set the pace right from the start.

–       24 % of the analysed vulnerabilities are targeted by malware, ransomware or available exploit kits.

 

Digital transformation has dramatically increased the number and types of new technologies and computing platforms – from the cloud to the IoT to operational technologies. This in turn has led to dramatic growth in the attack surface. The growing attack surface has fueled a never-ending flood of vulnerabilities. Many organizations run their operational programs on a fixed cycle basis (eg every six weeks), which is not enough given the dynamics of today’s IT environment. Attacks and threats are developing at a rapid pace and can hit any business. Effective cyber exposure management with a new approach to vulnerability management helps to adapt security to new IT environments: it is based on continuous integration and deployment and is consistent with modern computing.

 

The cyber exposure gap cannot be reduced by security teams alone but requires better coordination with the operational business units. This means that security and IT teams gain a shared view of the company’s systems and resources, continuously looking for vulnerabilities, prioritizing and remediating them based on business risk.

 

The study shows how important it is to actively and holistically analyze and measure cyber exposure across the entire modern attack surface. Real-time insights are not only a fundamental element of cyber-hygiene, but also the only way for companies to gain a head start on most vulnerabilities.

Major Consequences Of Having Poor Data Quality For Your Business

how data powers business opportunities

 

Organizations are collecting and generating more information than ever before but simply having a lot of data does not make a business data driven. Issues related to data quality maintenance is infecting numerous businesses. IT department which aren’t taking any steps in order to improve accuracy of their data, can lead companies to pay a big price. Generating trusted information isn’t always easy, though.  Nearly half of organizations are already in error due to poor data quality.

 

Poor data quality can impact organizations in a very negative way by have serious financial consequences. Regulatory fines, monetary losses from bad business decisions, and legal fees resulting from errors can add up to millions of dollars. IBM estimates the total cost, to U.S. organizations only, to be $3.1 trillion dollars annually. Moreover, when it comes to patient or consumer safety, bad data can cost lives.

 

A qualitative database with complete market information is very useful for the effective generation of new leads and the restructuring of existing one. Results of a campaign must be reflected in the database and information must always be accurate, complete, correct and unique. Yet this is not always the case. During customer contact, organizations too often receive answers such as: “I do not have permission to leak confidential information”, “Cloud applications? No, we do not use ‘and’ I’m not the right person for this conversation ‘. 46% of the organizations sometimes go wrong due to poor data quality, according to research by the New York Times. What price do organizations actually pay for this? I have listed the three most important consequences.

 

  1. Target-less costs are incurred

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A definite price tag is not linked to bad data quality, but that organizations make costs and miss out on profit is beyond doubt. U.S. organizations think approximately 32% of their data is inaccurate and believe this negatively affects their revenue in terms of weak resources, lost productivity, or wasted marketing and communications spend. Moving companies, changing e-mail addresses and reorganizing organizations. This means that mail is sent to incorrect addresses, e-mails do not arrive, and departments can no longer be reached. The mail is packed, the e-mail is typed, and the phone picked up, but these actions do not yield any results. Wasted time. And time is money.

 

  1. Sales and marketing without result

If companies work with outdated data, chances are that they do not have insight into who they should approach at which company. People change jobs, retire or come to the streets after a merger or takeover. If the database is not continuously updated and cleaned up with this information, effective customer approach becomes difficult. The right DMU is not available and companies do not get the right person. They do not go any further and even go two steps backwards. The target group is not reached and at the same time they strike a flatter with the potential customer. All this because companies do not have their data up to date.

 

  1. Reputation damage

As an organization, you want to avoid blunders and with a large arc for possible errors. You do not want to write to companies that are just bankrupt or are seeking contact with people who have already left the company. These missteps make sure that people talks negatively about your organization and that is the last thing you want. In short, get your facts straight. Make sure you do not run towards a wrong direction and avoid the above missteps. Provide a database containing all customer data and refresh them regularly. Only then can companies effectively carry out marketing and sales activities.

How Companies Can Leverage Their Existing Data Assets To Unlock New Business Opportunities?

Have you already heard about the latest update about Facebook who wants to play Cupid? At their F8 developer conference, the social network announced its entry into the online dating service. Why not? As Facebook users were able to reveal their relationship status since February 2004, with the existing user data form the ideal source it’s possible to find the perfect partner with the help of a suitable algorithm. However, this operation requires valid and high-quality data. At the same time, this announcement is a very good example of how companies can leverage their existing data assets to unlock new business opportunities.

 

Business can generally succeed in improving their own data quality by improving their data governance processes and the developing suitable strategies for complete data management. First of all, it is important to define the criteria for good data, which may vary depending on the company’s activity. These include aspects such as relevance, accuracy and consistency – in this case, data from different sources should not contradict each other. It’s also helpful to investigate where errors in master data are particularly likely to creep. Because here too the well-known programming wisdom applies: garbage in, garbage out. Poor data sources lead to poor results.

 

In practice, sources of error can be found throughout the value chain of data management. These can be human input errors during data acquisition, defective sensor data or incomplete data imports in automated processes. But also, different formats of data can lead to errors, in the simplest case when one has to input the data in US, in case of uncertainty about whether the metric or imperial (Anglo-American measurement system) is used. In addition, organizational deficiencies lead to data errors, for example, if it is not clearly defined who is responsible for which data sets.

 

In order to achieve more quality data, five points can be identified that help to increase the value of your own data.

 

Clarify goals:

 

Everyone involved in the project should agree on the business goals to be achieved with an initiative for better data quality. From sales to marketing to management, each organizational unit has different expectations. While decision-makers need more in-depth analysis with relevant and up-to-date information, it may be critical for a sales representative that address data is accurate and complete.

 

Find and catalog data:

 

In many organizations, data is available in a variety of formats, from paper files and spreadsheets to address databases to enterprise-class business applications. An important task is to localize these databases and to catalog the information available there. Only when the company knows what data can be found in which database and in what format, a process for improving the data quality can be planned.

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Harmonization of data:

 

Based on the initial inventory, a comparison is now made with the target to be achieved. This can result in a variety of tasks, such as a standardization of spellings, data formats and data structures. It uses tools for data preparation and deduplication to provide a harmonized set of data, while data profiling solutions help analyze and evaluate data quality.

 

Analysis, evaluation and processing:

 

If you consolidate your data and process it in a cloud, data lake or data warehouse, you can flexibly perform a wide variety of data preparation tasks there by using data integration and data management software solutions. Anyone who has to process streaming data, originated from sensors or Internet of Things, has the option of using cloud resources to check the incoming data in a very flexible way and to sort out fake data packets.

 

Establish continuous processes:

 

Ensuring data quality is a continuous process. After all, new data is always collected and integrated into our own systems. Even if external data sources already provide high-quality data for further processing, it is still necessary to constantly check and validate your own data stocks via a data monitoring system. There are very different solutions, such as, self-service data cleansing solutions, rule-based data transformation applications, self-learning software solutions that independently monitor data formats and detect and correct statistical anomalies. Already today, algorithms for deep learning or artificial intelligence are able to handle many tasks around data management in big data scenarios. However, it is important that responsibilities for data management are named and that quality assurance processes are confidently secured in the company’s processes.

 

Conclusion:

 

Managing quality data is a team work that spans in all functional areas of a company. Therefore, it makes sense to provide the employees in the departments with tools to secure the data quality in self-service. In particular, cloud-based tools that can be rolled out quickly and easily in the departments are ideal for this. Thus, equipped companies can succeed gradually in improving their data quality and increasing the value of their data. This leads to satisfied employees and happy customers.

How To Better Secure Multi-cloud Environments?

The rise of cloud-based services and a variety of choice regarding the cloud has filled the market with more competition than ever before.Increasingly, organizations are now choosing to mix and match cloud solutions. Butare they ready for the security challenges of multi cloud architectures? Applications that are spread across different cloud providers are extremely difficult to see; visibility is often limited. How businesses can better manage their multi-cloud infrastructure explains Jeff Harris, VP, Product Portfolio Marketing from Keysight Technologies.

cloud Workloads

The year 2017 was marked by a strong increase in enterprise cloud computing. According to Gartner, 90% of global companies currently use at least one cloud service. But today, no one is limited with just one cloud service, and even companies working with only a single cloud service provider doesn’t exists anymore. Multi-cloud, the use of multiple public clouds, is quickly becoming the next step in building truly dynamic infrastructures. By dynamically executing workloads across multiple cloud providers, organizations can ensure that workloads are truly optimized. The above-mentioned Gartner study reports that 70% of businesses plan multi-cloud implementations by 2019, up from 10% of today.

 

Up mentioned study also shows that 93% are concerned about security in cloud. But are companies ready for the security challenges of multi-cloud architectures? Each cloud provider has its own technological details as well as unique cloud services and management interfaces. It can be difficult to build an integrated view of the action. As a result, organizations may not really know if their security policies are constantly applied to workloads that are spread across multiple cloud providers – and may dynamically switch between them.

 

Businesses could easily trust cloud providers to protect their data, but that would not be a good idea. Security breaches and data theft are quickly becoming public. Ignorance is simply not an acceptable defence. In addition, a lack of insight into the individual processes or lack of evidence of compliance is enough to make most audits fail.

 

Ultimately, the operators of those applications are always responsible for data security in multi-cloud environments, but most do not have enough visibility and therefore no real control – they cannot really ensure that their data is 100% secure. However, there are approaches to make sure that their data is safe. Here are four steps companies can take to better manage their multi-cloud infrastructure:

 

  • Monitoring of data at the package level

    To monitor their traffic, organizations need to have data access at the packet level. The data provided by the cloud providers is not yet what IT managers in their own data center are used to. For example, metrics can be obtained through Cloud instances, but typically not the actual packages themselves. In addition, the metrics may not be as complete or available for a limited time. There may not be an easy way to build the custom dashboards needed to detect network and application performance issues. These limitations make it harder and more time-consuming to identify and resolve security and performance issues.

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  • Treat all data equally

    Once available, organizations need to integrate cloud packet data into existing IT service management (ITSM) solutions, where they can be centrally monitored along with other system management data. This allows organizations to perfectly monitor the performance, availability, and security of workloads, regardless of the underlying infrastructure, while providing a foundation for policy enforcement. This central monitoring and policy enforcement ensures that the company has control over the security of its own data and that policies are consistently applied to all workloads, whether they are in the data center, on the infrastructure of a single cloud provider, or across multiple cloud sites architectures.

 

  • Understand context and apply intelligent policies

    Like all monitoring data, cloud package data must be placed in the right context for analysis. To determine if a package is good or bad, it must be fed into the appropriate monitoring, compliance, analysis and security appliances where it can be converted into actionable information. CRM data is treated differently in the data center than HR documentation. So why should a company handle it differently when they come from the cloud? Insight at the network packet level, it’s easier to identify and route data according to existing policies. The result can be seen in more robust security, improved network performance, and better resource allocation.

 

  • Apply your own test procedures

    You should trust your own tests more than anyone else. Cloud providers do their best, but they need to serve the masses of customers, not individual needs. It’s important that organizations constantly test the performance, availability and, most importantly, the security of their workloads in multi-cloud environments. One-time testing provides a degree of security, but continuous testing adds confidence in cloud security – especially as cloud applications are generally subject to constant change.

 

Businesses will increasingly use multi-cloud architectures, as users always demand optimized experiences. The ability to move workloads across clouds allows for this optimization; however, security remains an important concern in multi-cloud agreement. Businesses can do this by implementing the same packet-level network transparency they use on their private networks. Seamless access to cloud package data provides the ability to route information to any security, monitoring, and testing tools, where it can be analyzed and evaluate. Even in a multi-cloud environment, you can implement strong security solutions. It only requires planning and consistent execution.

 

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.

BMC 12th Annual Mainframe Research Results- 5 Myths Busted by the 2017 Mainframe Survey

The mainframe is the oldest yet effective way to process data on a large scale, that’s what the 12th annual mainframe researched from BCM have enlightened. Large companies in industry, trade, and services, as well as public administration, will continue to rely on mainframe technologies in the future showed the survey results.

 

A mainframe is especially good at processing transactions. Banks and insurers often opt for such a system because they have to process large amounts of transactions. The big advantage of a mainframe is that it has hardware developed specifically for this task. This makes transaction processing much faster than if it were done in the cloud on traditional servers. Because a mainframe is good at processing transactions, it is also very suitable for blockchain technology, for example.

 

In the 12th mainframe study, BMC has enlightened the prejudices and myths about the mainframes. More than 1000 executives’ managers and technical professionals from large companies participated to shear their experience.

 

The first key finding of the survey is that 91% of respondents believe that the use of mainframes will continue towards an expansion and support of digital business demands. In addition, they predict this technology as a long-term important platform. This has an increase of 89% compared to 2016 results. The reason for this growth is, first of all, digital business, and second is the need of innovation of operations and technologies used within organizations.

BMC Mainframe Survey

 

The results also show that mainframes and data centers retain their role as a relevant and growing data center in many companies. Participants reported that the mainframe continues to be their platform of choice due to its excellent availability, security, centralized data serving and performance capabilities. Even with the modernization of their work processes and technologies, many organizations continue to rely on mainframes.

 

But they also cited some challenges associated with mainframe growth, including struggles to reduce IT costs, data privacy and security, speed recovery and simplify the increasingly complex mainframe and hybrid data center environment. But they remain positive about technology. They believe that mainframes remain an IT main platform despite cloud technologies and continue to be the backbone of digital transformation.

 

The mainframe will attract new workloads

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The study results underscore the strategic importance of this secure technology to large enterprises and government agencies and contradict many prejudices against mainframes. 51% respondents affirm that over half of their data resides on the mainframe, with an increase of transaction volume of 52%.

 

Mainframe ACTIVITY

 

66% of respondents say their current mainframe requirements are causing them to reduce their maintenance windows. After all, the main applications are transactional systems, large volumes of data, and analytics. The organizations want to further increase their availability in the future. The survey shows that the mainframes are not already fully optimized, as is widely believed.

 

47% expect increasing workloads through new applications. The survey shows that leaders’ attitudes toward mainframe are changing. In the long term, they see a strategic advantage in mainframes that help them better meet the demands of their digital business processes.

 

These results show the clear trend that executives continue to focus on mainframes and the rumor that they wanted to move everything to the cloud simply does not apply to every business and organization.

 

Even young IT professionals expect the future of mainframes. Contrary to the often-heard prejudice that young IT professionals are critical of mainframes, the BMC survey shows the opposite is the case. 53% of all participants were younger than 50 years. There is great enthusiasm for the future of mainframes among the under-30s too. In the 30 to 49 years, 69% predict mainframe growth. 54 In addition, the survey shows that not only older employees are working on mainframes.

 

Click here to download the study “Mainframe Survey 2017”.

NTT Security Global Threat Intelligence Report 2018 – Focus on EMEA Industry

 

NTT Security has released its Global Threat Intelligence Report (GTIR) for 2018. The study revealed that financial sector became highest point of interest for cyber-attackers with an increase of 16% in attacks since 2016. On the second place, we’ve attacks against the technology sector, which increased about 25% in comparison of 2016. The retail, manufacturing, and finance sectors are in the list of top five attacked industry sectors in 4 of the 5 regions.

 

 

Global Industry Attack Rankings

 

In the globally used malware types, spyware/keyloggers are at the first position with 26%, followed by trojans/droppers on second place with 25% and virus/worms are on the third spot with 23%. The most common form of malware type named ransomware had a peak as well. From 75% of detected ransomware, there was 30% of Wannacry and 45% of Locky.

 

RANSOMWARE INCREASES AND TURNS DESTRUCTIVE

 

The study also examined the sources of the attacks, that is, from which regions or countries most attacks took place. Globally, the attacks came mainly from the US, followed by China, Nederland, Germany, France in EMEA region.

ATTACKERS CONTINUE TO USE REGIONAL SOURCES TO ATTACK

 

The report shows that in EMEA 20% of all cyber-attacks are directed against the business and professional service, in the ranking follow with 20% of attacks against the finance sector. Next, we have manufacturing with 18%; technology with 14 and government with 9%. In the picture below, you can see EMEA industry by attack source country and attack type.

 

As seen in the chart below, 20% of attacks only targeted business and professional services within EMEA. Attacks against financial services and manufacturing stayed almost similar to our 2017 results. Technology and government are top 5 most attacked sectors.
When we talk about business and professional services attacks, web application and application-specific attacks gained the highest score in EMEA, often appearing as the most common attack types regardless of the source country.

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Since NTT Security identified the business and professional services industry sector was highly targeted in this region, companies must understand that their cyber protection methods must keep pace with the changing environment of cyber attacks. With the emergence of worldwide attacks and persistent advanced threats, it’s clear that a new approach is needed for security. Traditional techniques are simply no longer appropriate for securing data against todays cyberattacks.

 

Persistent advanced threats and targeted attacks have shown their ability to infiltrate traditional security defenses and avoid detection for days while stealing valuable data or carrying out destructive actions. In addition, the companies you rely on most are among the most likely targets: financial institutions, health organizations, large private labels and others.

 

EMEA INDUSTRY ATTACKS

As the below graph shows, in the malware used in EMEA, Ransomware dominate with 29%, following by botnet clients activity with a percentage of 11 and on the third position we’ve spyware and keyloggers with 3%.

EMEA Top Malware

 

The Global Threat Intelligence Report 2018 includes data from all NTT Group companies, including NTT Security, NTT Communications, NTT DATA and Dimension Data, as well as the Global Threat Intelligence Center. Also included are research findings from NTT Security, including honeypots and sandboxes in more than 100 countries. For the GTIR 2018, the company has evaluated data from more than 6.1 trillion logs and 150 million attacks. The analysis of global threat trends is based on information about logs, events, attacks, incidents and vulnerabilities, and examines the latest trends in ransomware, phishing and DDoS attacks.

 

You can download this report from here.

 

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