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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.

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

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

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

 

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

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

 

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

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

 

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

 

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

 

Source : GDPR One Year Anniversary – Infographic

The Internet of Things and Big Data Management

 

 

A new survey from Juniper Researchand Gartner Insightson How to Lead in a Connected World, has revealed that in 2020, the total number of connected IoT, will exceed 50 billion devices compared to 21 billions of connected devices in 2018.

 

Organizations are using the vast amounts of data available from IOT diverse sources such as, wearable devices, smart sensors.With the huge increase in numbers of IOT devices, companies are facing unmanageable amounts of data. By using this data and rapidly analysing it, theyare makinginsightful decisions and usingthe information in a more targeted way to deliver better service, improvetheirbusiness processes, increase operational efficiencies, and last but not the least, grow revenues.in order to extract valuable information from the gathered data, they also have to come up with a strategy over data storage and protection. Society is reliant on the storage, process and transmission of data therefore ensuring the integrity, security and privacy of this data is fundamental.

 

The IoT devices can be located anywhere in the world and are part of every imaginable living and working environment. Our phones, computers, smart home, fridge, machines, cars are the existing proof of IoT.We are living in a world where IOThas formed a massive transformation in our way of living. Not only in our everyday life but wecan seea strong expansion of IoT in all industrial sectors. IoT networks devices are being used worldwide without restrictions.

 

As experts highlighted, with more than 20 billion connected things expected to be in use by 2020, organizations can be sure that cyber-criminals will be developing new ways in order to extract data that can be converted into money.Thus, organizations must also find new ways and update their traditional approaches and existing strategies to manage and protect their data.

 

In IoT,IT security remains a major technical challengeas all the devices and people are connected with each other to provide services at any time and at any place.Mostof thesedevices are not equipped with efficient security mechanisms and are vulnerable to various privacy and security issues e.g., confidentiality, integrity, and authenticity, etc. For the IoT, some security requirements must be fulfilled to prevent the network from malicious attacks. Herebelow aresome of the most required capabilities of a secure network.

 

      • Resilience to attacks: Most enterprises take years to build up their trustworthy reputation of a reliable organisation but overnight that reputation can be irrecoverably damaged by a cyber-attack or massive data leak.Therefore, the system should be capable enough to recover itself in case if it crashes during data transmission. For an example, a server working in a multiuser environment, it must be intelligent and strong enough to protect itself from intruders. In the case, if it is down it would recover itself without intimation the users of its down status.

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    • Data Authentication: Today, attackers can easily gain access to internal networks, whether at a remote branch or in the headquarters, by taking advantage of mobile devices and BYOD policies. They do this by posing as on-site contractors or launching phishing attacks against employees.Once attackers authenticate onto the network, they can connect to the applications used for IoT. With many enterprise architectures, cybercriminals can execute network-layer attacks — even if they are unauthorized to access the application — disrupting the service.Thus, the data and the associated information must be authenticated. An authentication mechanism is used to allow data transmission from only authentic devices.

 

    • Access control: Only authorized persons are provided access control. The system administrator must control access to the users by managing their usernames and passwords and by defining their access rights so that different users can access only relevant portion of the database or programs.

 

  • Client privacy: IoT data is mostly unstructured and can therefore easily be stored in the public cloud infrastructure. All major cloud vendors provide cost-effective, scalable storage systems based on object storage solutions. With fast networks and free data access, large amounts of enterprise IoT data can be optimally stored in the public cloud.Therefore, the data and information should be in safe hands. Personal data should only be accessed by authorized person to maintain the client privacy. It means that no irrelevant authenticated user from the system or any other type of client cannot have access to the private information of the client.

 

Clearly cyber-attacks are damaging and costly, however the true cost to an enterprise is in the damage to the trust the users place inproducts and the system. Not only can cyber-attacks damage individual businesses, the knock-on effect for the whole digital economy could be devastating. Due to the multiple layers of information flow for IoT devices, enterprises are under constant pressure and have to deal with the threats in these environments and the complex conditions that are constantly changing and evolving. Faced with these turbulent conditions, in order to ensure long term survival of the business, they must embrace agility and resilience to the core of any information assurance strategy.

 

Sources:

Essentials Tips for Choosing Supply Chain Management Software

Supply Chain Management Software

The supply chain is the backbone of every industry, when it is optimized you can expect growth, when it is not you can expect less than stellar results. Additionally, one of the biggest nightmares for comapnies is having profitability interrupted by running out of stock. A simple mistake could easily cost them thousands of dollars and allow their competitors to get ahead. But thanks to supply chain management software, it’s never been easier for companies to avoid such pitfalls. Supply chain management tools and techniques make it possible for users to reduce errors and costs while optimizing the entire supply chain. To achieve maximum efficiency in your supply chain, you must have full control over several aspects of your business operations-procurement of goods, inventory levels, sales, shipments, and vendor management.

 

Therefore, choosing CMS software is a very important part for an enterprise, as they’ve to overcome the challenges of managing products across channels, aligning inventory and delivery, coordinating with suppliers and manufacturers, all while connecting in-store purchases and pickups with online orders.Being able to automate much of the management by having reliable software means that there is less work involved in the management of the software, more reliability, and an improved workflow. Of course, choosing the software is the difficult part. There are several good options on the market, and the tips below will help to choose the software that will work best for your industry.

 

Inventory Management:  Your SCM software must give you a complete picture of your current and forecasted inventory levels, sales and purchases orders, and shipment details. It should also make sure that you’ll never be out-of-stock or overstocked. By tracking the movement of raw materials and finished goods and provides information about the number of items stocked at a particular warehouse you can avoid the listed problems.

 

Data integration: Ensure integrated data management to enable smooth collaboration among all supply chain partners both nationally and internationally. It is a plus point if the software can be used by your international colleagues in their native language. Multilingualism is an absolute must in our global world. You must pay attention to the use of standard software for data integration and management instead of self-programming. This saves costs and nerves when processes need to be changed and when you need updates. And eventually they have to be changed.

 

Detect anomalies: The SCM software must recognize inconsistent data or incorrect data input and either warn the user or even better automated self-solve according to appropriate rules. This saves trouble and costs for all parties.

Order Management: Order processing is massively important to any supply chain, and as such, SCM software provides the tools needed to make this task easier and more efficient Make sure that your CMS is able to track orders from the time it’s placed until the time it’s delivered. Maintains a record of customers, delivery and goods returned, as well as information on payments and reimbursements.

 

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Shipping Management: Shipping Management is an important part of Logistics Management, which is covered under overall umbrella of Supply Chain Management. By makingsure intelligent workflow technologies are helping to reduce user interaction to a minimum and making the shipment process as efficient as possible by shipping products at the lowest rates, have a track of shipped products during transportation, keep record of all shipments, and analyze shipping patterns.

An increasingly popular supply chain management tool, real-time alerts provide real-time updates on all shipping activities. Typically, large companies, such as Amazon, have high-volume supply chains with many different types of cargo shipped to customers around the country or around the world.

 

Forecasting and Analytics: Using analytics, today’s SCM software is capable of processing huge amounts of supply chain data in a blink of an eye. Not only does analytics provide insight into past practices, it also predicts product demand based on analysis of sales data and helps plan procurement of raw materials and production schedules accordingly. Based on past trends, using supply chain forecasting tools helps you anticipate your customers’ demand.

 

Inventory Management: We all have heard about Henry Ford’s Just In Time Production. The idea is that companies create only what’s needed at the moment, determined by current and projected customer demand. The overall goal of this practice is to optimize your production planning by cutting down on warehousing space, inventory costs and the different procedures of storing excess inventory. Inventory tools allows to have a return on investment for a business, decreasing the need for warehouse space and streamlining their labor force.

 

Supplier Collaboration and Management: Along with other advantages, supply chain management tools can also help businesses get a better understanding of how they relate to their suppliers by supporting a flow of information between your business, suppliers, and customers to ensure they are updated about the different processes in the supply chain.

 

While each supply chain function is important, they are not all equally important. SCM software that is flexible will be able to help you to focus on the areas that are important to your company. You must identify your organization needs and avoid yourself to get stuck in a lot of features that aren’t needed for your organization activity, before investing in a CMS software. Try to keep it simple and as focused on your needs as possible to get the most out of the suite.

Supply Chain Logistics and Management

 

Supply chain logistic, known as the backbone of global trade, is a network of many partners involved such as customer, dealers, manufactures,transportation, external warehouse,suppliersand inventory. Sometimes a delivery comes along with delay, sometimes there is something wrong in a package, delivered article is different to ordered article and sometimes a shipment is lost. This is annoying for all sides. It costs time, energy, money and sometimes even the customer.

 

Managing correctly supply chain is huge challenge that companies are facing. To achieve this, it is important for everypartner involved in process, ranging from purchasers to shippers to order pickers, to work with the same information. Thisinformationincludes order data, shipment information, loading lists, receiving logs, invoices, credit notes – so when all this datais pushed back and forth across various formats, self-programmed interfaces and heterogeneous systems, not everything goes as planned. Often it is the heterogeneous systems interfaces and lack of communication between the various IT systemsthat cause problem. These IT issues can result in problems such as customernot receiving his packageor receiving wrong article. Stock-listwasn’tupdated because the server was down, and nobody noticed it.

 

Therefore, supplychain logistics executives must know how to choose the most advantageous mode of transportation, how to design and set up a warehousing facility, how to control and manage inventory and assets, and how to set up an efficient logistics network while minimizing cost and delivering andcustomer service.Only with the integration and help of afine-tuned logistics, supplychain logistics executives can gain an overview of theiroptimal stock levels and know exactly when to place new orders. And theycan ensure on-time delivery of the right product to its due destination.

 

IT–Key Player component of Supply Chain

As therequirements of the participants in such logistics chains are diverse and very heterogeneous, standards for formats are not always guaranteed, especially in international data exchange. Any discrepancy in ordered item and delivered item can result expensiveand/orproduction shutdown. Such and similar problems arise when, for example, the data systems of local enterprisescannot communicate with the international branches. The solution of this problem can be found if the software responsible for the process for data integration worldwide retrieves the required data and transmits into the desired formats.

 

Data Interpretation and Data integrity problem

Data interpretation is a vital part of supply chain management as it’s used to improve your ability to estimate future sales, reduce shortages and overstock and when the data is interpreted correctly, both in national and international trade, it results in having the right products at the right time in the right number at the right place.
Most companies end up having data integrity problem, such as,

 

  • Their current strategy isn’t always equipped to handle a vast amount of data.
  • They don’t know about sources of their data,
  • Even if they invest in a new system, they may struggle transferring data back and forth. Moreover, those who manually transfer data risk human error. If data differs between systems, they have no knowledge over which one is right.
  • If their systems aren’t updating in real-time, this will cause issues as they can’t ensure being on same page as their suppliers and customers. Especially when transitioning with new supply chain parties, your data integrity is at risk.

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With proper inventory management, companies can increase transparency and their suppliers and customers can have real-time access to data. This helps to increase efficiency and decrease wasted time.
Plus, having real-time access to current data improves decision making.

 

Data integration and SCM need to work together smoothly

In order to deliver the right products at the right place, it’s highly important to have the software that guarantees smooth data integration and the Supply Chain Software (SCM)work together seamlessly as acompetent center for heterogeneous supply chains so that all partners in a supply chain are always up-to-date and in the right state.

 

Automatic Anomaly Detection
Anomaly detection is all about making better decisions and there is no industry that needs accurate decisions more than the supply chain industry. Agood SCM softwareshould be able to detect automatically any anomaly.Machine learning is just one of the ways that companies in the supply chain industry are confronting these challenges. Using an anomaly detection platform for demand planning can help suppliers to ship goods with more efficiency.

 

As the Supply Chain Management is the integration of key business processes from end user through original suppliers that provides products, services, and information that add value for customers and other stakeholders, transparency, ease of use, system speedand ability to react agile and flexible to future requirements at any time are the factors that drive success. If all those involved in the logistics process can ensure that the right processes are automatically triggered, that anomaliesare detected and rectified in time,right deliverycanreachon time tothe customer.

The Impact Of Digitalization On the Future of Work

Digitalisation and the future of work

We are openly experiencing a technological transformation more than ever before, whether it’s in our daily life private life and, in our work place. Our way of communication and consuming things and services can’t be compared to a few years earlier. On the workplaces, creative entrepreneurs are using digital technologies as a few ways of expending their goods and services by revolutionizing business models, redrawing the boundaries between industries and creating new interfaces to the customer. Digitization is leading to structural changes in our economy.

 

The idea behind digitalization and automation that most people still have is that they think these technologies will destroys labour and people will be replaced with robots and lose their jobs.  But they ignore that digitization is creating new jobs. Studies have shown that 65% of our children will work in future on activities that do not yet exist today. With this disruption going on, organizations must think of how can new working concepts be realized in favour of companies and employees? How can employees work more productively and efficiently, and how can strengths be better utilized?

 

In order to overcome this challenge, Businesses should focus on their business software and innovative approaches to more efficiently use data and provide the best possible support to their employees. Here are the main tips to prepare your organization for the Future of Work:

 

Education is the Key

Employees are the most valuable operational resources. Whit digitalization, there are new skills that they must have. To bridge the knowledge gap, organizations mustinvest in education and training programs for their employees. These training programs can be initiated for certain demographics that aren’t yet employees, in order to prepare them with the skills they need when they enter the workforce, potentially at your organization.

 

Understand the different groups within your organization 

There are three types of people when it comes to adapt changes in the way people use to work. Strong resisters are those who’ll never accept the transformation, eager embracers are those who are happily willing to adapt changes to improve their work quality and middle-majority it’s the group waiting to be influenced by other two. It is important for leaders to capture and channel the energy of the eager embracers in order to get the middle-majority on board; otherwise, those in the middle can and usually will be influenced by the strong resisters.

 
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Make it easy for them 

There is the people side of things and also the teaching and documenting side of things. Create step-by-step instruction guides that make it easy for employees to accomplish the new workflow instead of expecting them to become experts after one demonstration. Be sure to give them the opportunity to provide feedback and opportunities to improve the workflow if they are the ones using it every day.

 

Engage them in the process from day one 

A good manager knows how to identify the slower adapters to change and can involve those team members early on in designing, evaluating and ultimately owning the process. It might take longer to launch, but in the long term, it will allow for faster implementation since they have already bought in and contributed to the new process.

 

Integration of ERP

ERP can improve quality and efficiency of the business. By keeping a company’s internal business processes running smoothly, ERP can lead to better outputs that may benefit the company, such as in manufacturing, employee development and HR. ERP supports upper level management by providing information for decision making.
With the integration of smart business software, management can find out whether their employees are working hard, completing most of assigned jobs successfully and without errors, and who is nearby to accept a new job. In addition, it is possible to indicate which skills are still not available enough, and that opens the door to hire employees. The ERP serves as the central unit, which unites all processes and information uniformly.

 

Observe data protection and involve employees

Personal data are subject to the requirements of data protection. This also applies to employee information stored in ERP. Companies may only act with the data that is actually necessary for the respective tasks and processes. In traditional ERP, data protection does not play a major role, because the margin that can be achieved with a product, for example, is not of great importance to employees. However, if you want to use a solution that builds on employee-related data and uses them, you should always involve the works council or an employee representation in advance.

It is becoming increasingly important to capture and determine whether employee engagement as a resource is appropriate. Those who are open with their employees, provide them with useful and supportive tools and sometimes dare to break new ground, are ahead of the competition and future-proofing their company.

The Basics of Cloud Computing Security

Enterprises using cloud computing

According to Gartner, the size of the global Cloud Computing market is projected to grow 17.3 % in 2019 with a total of $206.2 billion, up from $175.8 billion in 2018. These numbers demonstrate that Cloud computing is becoming mainstream in enterprise IT. By having a data storage in clouds business can benefit from a lower IT costs with greater scalability and greater reliability compared to having resources in their own data center. Study has also highlighted that the fastest-growing segment of the market is cloud system infrastructure services, also known as, SaaS or IaaS, which is forecast to grow 27.6% in 2019 to reach $39.5 billion, up from $31 billion in 2018.

 

In addition to these numbers, a recent study by Eurostat comes to the conclusion that “26 % of EU enterprises used cloud computing in 2018, mostly for hosting their e-mail systems and storing files in electronic form. 55 % of those firms used advanced cloud services relating to financial and accounting software applications, customer relationship management or to the use of computing power to run business applications. In 2018, many more firms used public cloud servers (18 %) than private cloud servers (11 %), i.e. infrastructure for their exclusive use”.

 

Compared with 2014, the use of cloud computing increased with more than 21%, particularly in large enterprises. These numbers will certainly go-up and companies must prepare themselves from “what-if” scenarios. “What-if” they have little or no control over data, such as a loss of service or a hacker attack.

Outsourcing means losing significant control over data. Even with a huge success of Cloud, few large companies don’t want to run a program delivered in the cloud that risk compromising their data through interaction with some other program. As they want to maintain full control over who has access to their data.

 

In addition to no control over data, companies are quite concerned about the risk of seizure. It means that if they opt to choose a public cloud, they are sharing computing resources with other companies. Exposing their data in an environment which is shared with other companies could give the government / federal authorities “reasonable cause” to seize your assets in case if another company has violated the law. Simply because you share the environment in the cloud, may put data at risk of seizure. The only protection against the risk of seizure is to encrypt their data. Even if cloud provider is forced, by law, to turn over user’s data and any access he might have to that data, as he won’t have user’s access or decryption keys, shearing data won’t be a risk. To get at the data, the court will have to come to user and subpoena user. As a result, user will end up with the same level of control user have in his private data-centre.

 

Plus, when it comes to encryption management in heterogeneous IT landscapes, IT managers should consider multi-vendor management tools that provide a 360-degree view of how all resources are encrypted and managed. Encryption key management and endpoint authentication are also centralized and server-based with these tools, often based on existing network policies, such as Active Directory databases. It is impossible to achieve infrastructure-wide encryption and security compliance without proper management tools. If the administration is difficult, mistakes happen. Protecting data in heterogeneous IT infrastructures with a high cloud and virtualization share is a tightrope walk that is sure to become no less complex in the future.

 

Next biggest concern, of companies, in adoption of Cloud is the failure of cloud provider to properly secure portions of its own infrastructure, especially in the maintenance of physical access control, which may result in the compromise of subscriber systems. Cloud can comprise multiple entities, and in such a configuration, no cloud can be more secure than its weakest link. It is expected that customer must check on regular basis and trust provider’s security. For small and medium size businesses provider security may exceed customer security. It is generally difficult for the details that help ensure that the right things are being done.

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In general cloud computing provides persuasive benefits in IT world but it’s not completely secure and risk free in terms of data security challenges. Cloud performance can be affected in case of security issues. Therefore, cloud computing providers are responsible for good care of security in systems and data. Cloud computing providers are good in many ways, sometimes better than some in-house IT. The reliability of cloud providers can be classified much better than some internal infrastructure, as they master all features of their logiciel.

 

For each cloud service that has been mentioned above, the cloud service provider provides some security measures. For example, that IaaS service provider only allows connectivity from specific IP addresses in their Access Control List (ACL). PaaS service providers only allow certain usernames and passwords. SaaS service providers also limit their service to those who already have the security token before utilizing the software.

 

In any case, before implementing cloud in your enterprise eco-system, one must analyze and identify appropriate security risks and overcome issues such as virtualization, authentication mechanisms and cryptography techniques and protect the confidentiality, integrity and availability of data regardless of the form the data may take.

 

Most businesses today rely on diverse IT infrastructures with different operating systems and multi-cloud environments. Despite all successes, the basic challenge remains. Data must be protected. Protecting this data is not just about protection against hackers. Good governance is also required to ensure that all dealings with this data in order to comply with legal privacy and compliance requirements and industry specific requirements.

Sources :
–Gartner Forecasts Worldwide Public Cloud Revenue to Grow 17.3 Percent in 2019
–Service Market for Data Center by Service Type (Design & Consulting, Installation & Deployment, Professional, Training & Development, Maintenance & Support), Tier Type, End-User, Data Center Type, Industry, and Region – Global Forecast to 2022
–Cloud computing – statistics on the use by enterprises

3 Basic A’s of Identity and Access Management -Authentication, Authorization, and Accounting

 

Identity and Access Management Model

The number of data breach incidents has continued to increase in the past year. Identity and access management is one of the basic security measures in this context to prevent any injuries from these breaches. And the goal of IAM to continuously secure, measure, monitor and improve access to identity and data assets bymaking sure that users can access necessary resources while following a prescribed process. It’s an effective and forward-looking method against data breaches.

 

Down to the basics, a breach of privacy is nothing more than breach of security leading to the accidental or unlawful destruction, loss, alteration, unauthorized disclosure of, or access to, private data transmitted, stored or otherwise processed. Despite all this awareness, most companies take IAM serious only when it is too late. They must not ignore that preventing cybercriminals from entering a network, getting business data, stealing it, and misusing it can be avoided by implementing a multi-layered security approach.

When using identity and access management, remember the basic three A’s: Authentication, Authorization, and Accounting.

 

Authentication

 

Authentication is based on the idea that each individual user has unique information that sets him or her apart from other users to provide proof of identity when they identify themselves. It ensures that the person who logs on to a system is actually the person who claims to be. The easiest way an attacker can access a company’s IT systems is by obtaining someone’s credentials. Like the passwords of any X employee working in any X organization. Phishing, social engineering or simple theft are common methods. The network can not recognize that it is the wrong person and will allow the attacker to access all data that the user has access to. IAM procedures and technologies help to get the authentication problem under control. Authentication can take place as an individual process or can be combined with authorization and accounting.

 

An effective password strategy is the key to an effective authentication process. These include the frequent change of passwords, a strict password policy and processes that protects data from outsiders. The basic problem with passwords, however, is that employees usually have so many of them that they are hard to remember and sometimes they have same passwords for different applications. Single sign-on technologies offer a solution to this problem. SSO means that after a one-time authentication, a user can access all the computers and services that he is authorized to access without having to log in each time.

 

In the meantime, there are also password management tools in which the user can manage, reset and re-assign his passwords via a self-service portal. These tools ensure that the selected password meets the strict requirements.  Most companies are moving toward Multi-Factor Authentication (MFA) or Two-Factor Authentication (2FA) which leverages a static password and challenge question to strengthen cybersecurityby adding a second layer of security that requires additional authentication.

 
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Authorization

 

It’s the process of granting or denying a user access to system resources once the user has been authenticated through the username and password. The amount of information and the amount of services the user has access depend on the rights the users have.Proper and complete authorization is the key to preventing data breaches. Effective IAM solutions ensure that users only have access to the data they really need and are assigned to their login credentials. And these solutions prevent a user from having too much access to sensitive data he should not have by giving sufficient access necessary to perform their required functions, and nothing more.

 

Administrator must have an eye on the access permissions and disactivate the open functions when they are no longer needed in order to avoid any accidental or malicious violations of security objectivesEmployees and service providers who no longer work for the company X should immediately be deprived of their assigned access rights. Without effective identity management, a business cannot be sure who can access what systems and whether an attacker might use accounts to gain access to sensitive data.

 

Accounting

 

Accounting means keeping an eye on user’s activity, access and data they have access to do their jobs while they are on companies’ network. It also includes the amount of time a X user spend to do X job. Having track of all above mentioned activities helps to detect breaches, tracing back to events leading up to a cybersecurity incident and forensic investigations.

 

If all the players of a team pull together and each player fills his position, then no power in the world can bring them down. Security requires a comprehensive approach and implementation of IAM concepts such as strong authentication, granular authorization, and powerful privileged access management and accounting to put cybercriminals in their place.

 

Sources :
–Planning Guide for Identity and Access
–Identity and access management Beyond compliance

Artificial Intelligence – Existing Educational Systems and Next Generation Jobs

Artificial Intelligence in education

 

Artificial intelligence has existed as a field for more than 50 years, but in pace with technological developments in recent years, the area has found increasing numbers of applications and has been the subject of increasing attention. New methods and technologies mean that the mobile phone not only understands what we say, but also translates between languages ​​as quickly as we speak, recognizes faces. There are methods and technologies of artificial intelligence that lie at the core of self-driving cars and robots that perform precise surgical procedures. Facial recognition in stores, robotic sellers who submit offers based on past behaviors, facial recognition in stores, language assistants (like Alexa or Google Home) who are always listening and making recommendations based on recorded conversations. Al is a subject area that is changing how we live and work and how the future will be.

 

With all these AI advances, the demand for expertise in artificial intelligence has exploded. Graduates are employed before they finish their education and receive millions of salaries. Analysts believe that 2020 will be an important year in terms of AI in the workplace and claim that artificial intelligence will create 2.3 million jobs worldwide that year.

 

The most important thing to remind here is that software and tools based on artificial intelligence reflect the culture, preferences and background of developers. Therefore, it is crucial for each country to build its own strong expertise in the field, both in research and education. An investment in artificial intelligence can only succeed if it is based on a general strengthening of the ICT subject. Here it is necessary to strengthen the competence and education at all levels, as well as to promote the interaction between theory and technology, and between research and application.

 

To be on the top of AI game, governments should aim to develop internationally strong research environments in the field. This must be done by building on and strengthening the existing research networks and the environments within artificial intelligence in their own country and helping to position these in European and international networks. It is important to link up with the strategies for artificial intelligence in Europe, and adapt to the EU’s strategies, compliances and framework conditions for research and development.

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In order for a strategy for artificial intelligence to succeed, it should put man in the center. It should aim for the entire population to be able to exploit the new tools the field brings in a reflective way where they are able to judge the weaknesses and strengths.

 

Artificial intelligence is not only important for innovation, growth and competitiveness, but for how we want to work and live in the future. Increasing the overall digital competence is also necessary in view of the ethical challenges associated with this development.

 

Education systems needs to be brought up to date to reflect that we now live in a world where problem-solving and creativity are becoming more important assets. Regurgitating knowledge is something that you can automate very easily, but with actual education system, isn’t preparing children for the modern workforce.

 

No need to repeat that for students, AI will inevitably impact their careers. The AI era is inevitably creating new job types, ranging from machine regulators to emotion engineers. McKinsey predicts that AI will replace up to 800 million jobs by 2030. That’s a drastic reshaping of the workforce — and one that universities should help students prepare for. Students interested in careers in AI can pursue a wide range of exciting new career possibilities focused on data science, machine learning or advanced statistics.

Solutions Related to Technologies in the IoT Field

Solutions Related to Technologies in the IoT Field

In our last blog-post we’ve discussed about the Challenges Related to Technologies in the IoT Field. As the challenges of IoT are numerous, their solutions should and must be developed and support to provide better services that are trusted by all parties such as users, companies, and so on. Some of the solutions include standard encryption technologies that comply with IoT. Since the devices are mobile, the encryption technologies that are going to be used must be faster and less energy consuming because energy consumption is another problem of IoT devices. Using authentication and authorization structures for controlling access level to view the data is also another solution that should be considered while designing IoT applications.

 

Some of the solutions put regarding the problems discussed, in our previous post, include:

 

Having Uniform Shared Standards/Structures:

 

The lack of uniform standards for the Internet of Things is a huge problem that IOT organizations are facing. Having uniform standards is helpful in a way that having a standard protocols or structures makes vendors to follow this structure and will not create a problem when there is a need to integrate the different parts developed by different organizations. For example, if hardware and sensor device designers, network service providers and application developers all follow some standard for IoT, it will greatly reduce the problem that will arise due to integration problem and compatibility issues.

 

Address privacy and security risks throughout the IoT device life cycle:

 
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Addressing IoT privacy and security challenges from start to end-of-life, including every change in maintenance ownership, can help prevent general vulnerabilities. Organizations must have a set of security guidelines, standards and best practices that all or their solutions must comply with. Strong privacy policy towards IoT on how to collect and use individual data in a transparent way to the user increases the trust of the user for the service, make him/her aware how it is used and how to control it. This means that the user should be made the center to decide on what personal information goes where and how it is used.

 

Using Anonymization: 

 

IoT devices are capable of capturing physiological measures, location and activity information, therefore sharing sensed data can lead to privacy implications. Data anonymization provides solution to this problem. Anonymization is a method of modifying personal data so that nothing is known about the individual. It does not only include de- identification by removing certain attributes but has to also be linkable because a large volume of data is being produced each time a device is connected. Methods such as K- anonymity can be used. K-anonymity is a key concept that is introduced by Latanya Sweeney, to address the risk of re-identification of anonymized data through linkage to other datasets.

 

Robust storage systems:

 

For many IoT applications, it has become critical for data to be screened and analyzed where it is generated. I.e. from sensors in a car, surveillance cameras, drones, personal devices, robots, gateways, etc. As the data produced from IoT devices is large volume data, it is needed to have fast and powerful storage mechanisms which can handle very large data even more than it is needed currently. The ability to deliver real-time analytics at the network’s edge can improve operational efficiencies, provide safer driving, create more secure environments, foresee upcoming maintenance, identify customer buying behaviors, and enable a world of opportunities.

Understanding Challenges Related to Technologies in the IoT Field

Understanding Challenges Related to Technologies in the IoT Field

 

The Internet of Things (IoT) indicates the use of connected devices and systems to leverage data gathered by embedded sensors in machines and/or other physical objects. For consumers, the IoT has the potential to deliver solutions that dramatically improve energy efficiency, security, health, education and many other aspects of daily life. For enterprises, IoT can underpin solutions that improve decision-making and productivity in manufacturing, retail, agriculture and other sectors.

 

The number of connected devices to the internet is increasing each year at an alarming rate. As there are a lot of emerging applications and evolving technologies in the field of IoT, the challenge is to increase with these growing trends in applications and technologies.

Studies shows that the IoT fields is facing a lot of challenges. From bandwidth and battery problems in small devices, power disrupts related to the devices and configurations to Data Security, Data Control & Access, no uniform standard/structure, and Large Volume of Data produced.

 

Data Security

Data security in terms of IoT is defined as a necessity to ensure availability and continuity of a certain application and to avoid potential operational failures and interruptions with internet connected devices. As we increasingly connect devices to the Internet, new opportunities to exploit potential security vulnerabilities grow.  The threats here could come in different levels such as at the device level, network or system/application levels. They also come in a variety of ways such as using random attacks such as Distributed Denial of Service (DDoS) and malicious software. Different devices such as sensors, RFID tags, Cameras, or network services (WSN,Bluetooth) could be vulnerable to such attacks which in turn can be used as botnets. Home appliances such as refrigerator, TVs can also be used as botnets to attack this and similar devices. Thus companies must ensure that IoT devices and related data services are secure from vulnerabilities, especially as this technology is becoming more pervasive and integrated into our daily lives.

 
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Data Control & Access/Privacy

It is known that IoT applications produce large volume of data in a faster rate from different devices and these smart devices collect and process personal information. But knowing what risks these devices have, how the data is produced and used, who owns and controls it and who has access to it are some privacy questions that one need to ask while getting the services of these devices. It is obvious that the data that is produced from these devices face privacy concerns from the users. The concerns most of the times could come in two forms, first where personal information about the individual is controlled, identified, and the owner does not know who access it or to whom it is known. Secondly, the individuals’ physical location can be traced and be known his/her whereabouts, hence violating privacy. This shows that privacy is one of the basic challenges in the IoT field as is anywhere in the IT field and companies must overcome it with the help of GDPR regulations.

 

No Uniform Standards/Structures

IoT is comprised of different components such as hardware devices, sensors and applications. These different components are manufactured and developed by different industries. When these components designed to be used in IoT solutions, they need to exchange data. Problems arise while trying to communicate because the standard used in one product is not used in the other and it creates communication or data exchange problems which may delay the expansion of IoT products. The problem is not only in the design of devices, but also in the internet protocols used today. The absence of uniform standard/structure for different technologies used in IoT is one challenge for the field.

 

Large Volumes of Data Produced

This is another challenge in IoT, i.e the data produced from various sensor and mobile devices is heterogeneous, continuous, very large and fast. These produced data need to be processed instantly before it is expired. Managing these kinds of data is against the capacity of traditional databases. As the number of connected devices is expected to increase in the future, the data produced from these devices is going to increase exponentially and a good analytic platform and storage systems are needed.

 

The Internet of Things involves a complex and evolving set of technological, social, and policy considerations. IOT is happening now, and there is a need to address its challenges and maximize its benefits while reducing its risks.

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