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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:

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

AI IN CUSTOMER COMMUNICATION – 5 PRELIMINARY QUESTIONS

 

AI is set to be a game-changer for businesses across every industry. Artificial intelligence is undoubtedly changing the way companies address and interact with their customers.  Pluq, the increasing adoption of digital language assistants such as Alexa and Co., Siri and Amazon Echo, in private households is leading-edge.

 

A new study by Bitkom and Deloitte on the future of consumer technology showed that, in addition to 13%, who already had an intelligent virtual assistantin 2018, 4% of those surveyed are planning a purchase a voice assistant in 2019 and 27% can imagine controlling devices by voice in the future. The fact that, according to Gartner, 30% of companies will use AI for at least one key sales process in 2020, which encourages AI adaptation. Companies are faced with the huge task of adapting to the increasingly complex communication needs of their customers. Therefore, language assistants are being integrated into more and more devices.

 

Study highlighted the rapid rise of intelligent language assistants in 2018 and in the coming years we will control more and more devices with our voice. Which opens gates to a new billion-dollar market.

 

Despite all the forward-looking tips and statistics, many companies are still wondering how they can ideally use AI for themselves. Also, the costs that result, the impact on employees and customer satisfaction is not really measurable for many.

To get an overview here you should ask the following basic questions:

 

  1. What do customers really want?

Often, when answering this question, it helps to have a closer look at the customer database. Age structure, nature and complexity of incoming requests provide a clear direction. For example, an airline can quickly and efficiently handle the query of travel times with the help of artificial intelligence. But customers still preferer a human contact when questions about insurance details or specific health problems rise.

 

  1. How is automation currently being used?

Automation is not just a topic for companies since the introduction of artificial intelligence. Many have already integrated automatic systems such as IVR (Interactive Voice Response) for telephone inquiries and automated e-mails or SMS into customer communication – systems that have proven themselves so far. Implementing artificial intelligence here is not necessarily the way to go. Rather, one should analyze how existing systems can be improved to meet evolving customer needs. For example, an automated language solution with machine learning in the background could complement an existing solution and offer the customer an improved contact experience.

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  1. How will the employees react?

The biggest fear among employees is that artificial intelligence makes them redundant in the foreseeable future, for example through chatbots, and as a result they lose their jobs. The fear since the beginning of the industrial age, that machines will take over humans and jobs, is the biggest communications challenge. This is further aggravated by; a lack of understanding of AI compounded by confusing communication by various players during the current hype cycle. There is a need for constant communication and increasing awareness to improve the understanding and applications of AI. One just needs to look at history to conclude that every technological change created an explosion of new jobs and services and, overall, generated more wealth for all.

 

  1. How to find the right AI solution and how should an implementation work?

There are already a variety of AI solutions for various functions, including, for example, Natural Language Processing (NPL). You should basically get an overview of the solution providers – especially those who have a platform with interfaces to different AI solutions in their portfolio. It is essential, however, that there is a precise idea of ​​the existing communication infrastructure and the improvements to be achieved in customer communication. For example, cloud-enabled contact center vendors and specialized integration offerings with an end-to-end AI package can bridge the gap between existing functionality and the AI ​​skills needed to meet existing needs.

 

  1. How is one prepared for the future?

AI will inevitably play a major role in the future of customer contact. But there are many details to consider when planning implementation – even though the customer base is not yet fully receptive to this technology, the rapid development of AI and the ability to address more complex issues can lead to that acceptance which will increase significantly in just a few years. Also, the increasing adaptation of consumers to these types of interfaces will increase their acceptance to, and expectation of, this technology. Long-term planning should therefore always leave room to introduce new innovations as soon as they can offer defined added value.

 

This is precisely why Cloud-based contact center and integration technologies are available that are inherently capable of adapting flexibly to new developments and introducing new third-party connectors. This open technology has the advantage of reducing the risks for future AI and contact center planning and provides the ability to introduce functionality as needed. This avoids being late for a new innovation and losing valuable competitive advantages.

 

The Revolutionized Role of The CIO

018 CIO Agenda Report g

Each year Gartner conducts the world’s largest CIO survey to track how senior IT leaders around the globe are balancing their strategic business, technical and management priorities. This article is based on the survey which includes the views of 3,160 CIOs across 98 countries, representing approximately $13 trillion in revenue/ public-sector budgets and $277 billion in IT spending.

 

The study reveals that in today’s fast changing world, Chief Information Officer’s (CIO) duty doesn’t bounds to to integrate technology, but also to foresee how technology can be used to drive business growth, product development, customer satisfaction, and employee productivity. CIOs can drive change throughout their organization to help them stay competitive and grow.

 

Gartner’s annual CIO Agenda Report highlights that company growth and the digital transformation that comes with it are high on the priority list of CIOs. The report shows that the evolving technology landscape is changing the nature of the CIO’s work – from the delivery executive to the business executive.

 

Supporting the business’s top objective: Growth

 

Network transformation is business transformation

 

Today, leveraging new technologies for transformation and growth requires a deep understanding of the corporate network that connects the organization with its customers and that supports the expanded ecosystem. With the progressively mobile workforce, the increased use of the Internet of Things (IoT), and the shift of corporate network traffic from the private intranet to the public cloud, the network now extends well beyond the four walls of the office. It reaches all areas of a wide-ranging organization. This means that CIOs in the network have the opportunity to drive change and impact productivity.

 

Redefinition of the network

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IDC notes that 75% of its workforce will move to a mobile work style by 2020, while Gartner points out that IoT devices will account for the majority of endpoints in the coming years. Gartner also predicts that 7.5 billion networked devices will be used in enterprises over the same period. The first question for any CIO is therefore: Is my WAN able to support this transformation and am I taking advantage of the rapid change in network technology to drive growth?

 

The shoe still squeezes, as a lack of WAN readiness was highlighted in Cradlepoint’s current State of the Network report. 77% of surveyed enterprise IT decision makers identified WAN bandwidth constraints, reliability and cost as their main concerns. Businesses across industries need to redesign their WANs to take advantage of the new technologies. And these new technologies require more bandwidth, more mobility, more agility and more security.

 

But why is the traditional network approach no longer sufficient? What is becoming clear is that the transformation of the WAN is central to business development. The challenge for CIOs is to figure out how to deploy and leverage new technologies, including Gigabit LTE, 5G, and IoT deployments. A good example is the wireless WAN, keyword 5G, which we are now experiencing on a grand scale. It is in contrast to the expensive and restrictive WANs of the past. The wireless WAN, especially with Gigabit LTE and 5G, offers more bandwidth and performance than many wired networks, while providing extreme flexibility at the edge of the network.

 

To meet this network flexibility, CIOs should adopt a software-driven approach. A number of new technologies have emerged that support the WAN transformation and enable a unified approach to connecting people, places, and things across the enterprise and beyond. CIOs should focus on cloud-based management and orchestration, software-defined WAN (SD-WAN), software-defined perimeter (SD-P), and the use of LTE services in planning for 5G.

 

Planning with a view to the future

The technology will evolve, and it’s up to the CIO to decide how to use it. The methods used in the past will not be enough to keep up with the challenges of the future and to tackle them. The ability to invest in the right, emerging technologies and retire others will be fundamental in the coming years.

 

Gartner’s CIO agenda shows that success in this next chapter is not based on what CIOs build, but what they integrate and whether they use technological change to drive business change. The CIO of tomorrow becomes Selector, a competent organizer of services that composes a symphony of next-generation software and services. CIOs will evolve from a “build your own” approach – trying to build and manage a digital network themselves – to a network-as-a-service approach. The Software-as-a-Service (SaaS) approach is a proven track record – Enterprise WAN is the natural next step.

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 Management Revolution in Corporations – GDPR, Ransomware and Multi-Cloud Requires New Actions

GDPR and Data Management

Enterprises have more and more options for data storage, but at the same time they are faced with strict regulation and new challenges. For example, the EU General Data Protection Regulation (GDPR) will enter shortly into practice. Ransomware attacks and the trend towards multi-cloud doesn’t make it easier for companies.

 

Data has become the lifeblood of companies in this digital world. It’s critical to the future of any business – and its volume continues to grow. IDC predicts that 163 zettabytes of data will be generated worldwide by 2025 per year. Not surprisingly, this data growth is associated with an increasing demand for storage, more than 50% annually in recent years. However, refilling storage resources is just one thing, but how do companies manage ever-changing data? Here below is an insight of how businesses today can efficiently manage their data.

 

THE TRADITIONAL “STORAGE” APPROACH IN THE CLOUD AGE

 

Data management experts believes that despite the growing volume of data, there has been no innovation in the way data is backed up, stored and managed for many years. With the rapid spread of virtualization and the growth of big data scenarios, it has become increasingly apparent that there was a need for action and new strategies. Organizations using legacy systems are finding it increasingly difficult to access, retrieve, and recover their data. Traditional storage solutions no longer meet the needs of today’s businesses.

 

The cloud has also opened up many new opportunities over the limited memory capabilities of an old design data storage system. Most recently, Cloud Data Management has made annoying IT tasks such as backup, storage, and recovery more efficient and transformed it into value-adding business functions. Today, 63% of worldwide companies are using private and public clouds to securely manage their data. Backup, archive, compliance, search, analysis and copy data management are all available in a single, scalable and widely deployable platform. Companies can derive more value from data assets by making faster and more. Informed business decisions.

 

RANSOMWARE THREAT

 
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As data volume grows at a remarkable rate in worldwide organizations, cybercriminals are adapting new methods to hack valuable data for profit. Their technical sophistication varies from small scale cyber-enabled fraud to persistent, advanced and professional organizations. They may directly steal money or monetise their capabilities indirectly through intellectual property theft or through malware.  At any point in time, data access can be affected by cyberattacks.

 

As far as cyberattacks are concerned, the threat of ransomware is hard to avoid. Companies in all industries as well as public institutions are affected by a veritable ransomware attack. Having a look on the 2017 WannaCry cyberattack taught us a good lesson that no-one is safe from the criminals behind ransomware. Everyone is a potential target – and it’s just the question of when something will happen.

The threat of ransomware attack means that business should consider further mitigation and preventative solutions to combat it. These include maintaining appropriate backups and defensive systems that automatically scans any potential harm.

 

The GDPR IS HAPPENING NOW!

 

Either a company is based in the EU or trade with EU Member States, they all are concerned by GDPR. The new regulation will somehow force companies to adapt stricter data protection and data protection rules and will oblige companies to redesign their entire data management process if necessary. When the regulation enters into practice in May 2018, a fundamental change of mindset will be needed in many places.

Data management systems are no longer just used to store data but must help companies meet key GDPR requirements. To ensure compliance, companies should adopt a centralized data management solution that provides simplicity, security, and policy-driven management.

 

INCREASED INTEREST IN MULTI-CLOUD ENVIRONMENTS

 

Multi-cloud strategies will become common for 70% of organizations by 2019, according to Gartner. More and more companies are increasingly turning to a multi-cloud approach. They use different clouds for different purposes, whether public, private or a mixture of both. By combining public and private clouds within their business strategy, organizations gain flexibility and scalability. If you use more than one cloud provider, you can reduce deployment time and increase cost-effectiveness. However, to take full advantage of such hybrid environments, companies need a cloud data management solution. It supports and automates the transfer of data across all cloud ecosystems, optimally meeting current needs.

Cyber ​​Security Predictions- What to Expect in 2018

It is well known that the fourth industrial revolution opens up a multitude of new business opportunities. In parallel, the danger for cyber-attacks is also increasing. It is important that companies prepare for it.

Not only should they think about security solutions directly when planning IT technology, but they should also develop a keen awareness of the corporate culture for security – which requires significant investment. According to estimates by Gartner, security spending for 2018 will continue to rise sharply globally, reaching $ 93 billion. For the coming year, this means that Cyber Security will capture some of the key trends.

 

IT security experts are still in demand

 

As technology evolves, security expertise needs to adapt to changing needs. The challenge is to train cybersecurity specialists to acquire and develop the skills they need as quickly as possible. According to the Cyber Security Ventures Report, it is predicted that there will be around 3.5 billion unfilled cybersecurity jobs by 2021. The responsibility lies in the hands of governments, universities, schools, and companies to meet this need.

 

Protection and resilience

 

In this day and age, it is difficult to completely avoid security gaps. Therefore, you shouldn’t just ignore them, but make appropriate arrangements. As a result of this development, the resilience of the IT infrastructure will become more of a focus, and not just prevention alone. For companies, it is important to talk openly about their own weak points, to raise awareness and to show responsibility. Funds currently used to prevent cyber-attacks may need to be redistributed to detect security threats in time and to remain operational in the event of an attack.

 

Next-generation security solutions are driven by digital ecosystems

 

In IOT hype era, the protection of customer data becomes more and more important. Vulnerabilities exposing sensitive data can have serious consequences as companies will be held accountable for personal data in the future. This ownership is a major challenge for companies, and the responsibility to ensure a degree of security for their users lays on technology manufacturers. As the need for cybersecurity solutions and regulations grows, companies need to develop appropriate strategies to minimize any risk. These strategies should not only meet today’s expectations but also incorporate new business models promoted by new technologies.

 

Cyber-attacks increasingly sophisticated

 

Of the e-mails received, around 70% are spam and the majority of them contain phishing messages. Other known threats include rogue Trojan horses, malware or distributed denial-of-service (DDoS) attacks. Over the past few months, they have led to massive data loss and continued to make company or customer data vulnerable to cybercriminals. With 93% of the attackers, the money is in the center. Hackers try to gain the highest possible profit through simple tricks and are often successful in smaller companies with inadequate security solutions.

 

New technologies: a blessing and a curse at the same time

 

Innovative technologies enable cybercriminals to use sophisticated methods for their attacks. But these innovations can also help build and reinforce defense and protection against hackers. A major threat, for example, comes from artificial intelligence (AI) applications. However, AI can also be used to detect potential risks faster. How important AI is for IT security is an outlook on the global market for artificial intelligence solutions: according to a recent study, it will grow to $ 18.2 billion by 2023. Likewise, the Internet of Things, with an estimated circulation of 22.5 billion networked items, is both a driver of innovation and a door opener for increased threat potential, according to a Business Insider platform report. On the one hand, security becomes a challenge, but on the other hand, the data generated by Internet-enabled devices can help detect breaches early.

 

The focus is on vertical industries

 

While cyber attacks affect all sectors of the economy, there are still some key sectors that are likely to be particularly vulnerable to cyber attacks:

 

  • The Financial Sector, BFSI: (Banking, Financial Services and Insurance): The BFSI sector is under increasing pressure. This is due to competitors with digital assistances and the constant pressure to modernize their existing systems. The value of customer data is increasing as customers demand more comfortable and personalized service. Nevertheless, trust remains crucial. According to a recent study, about 50% of customers in the UK would change banks as a result of a cyber-attack, while 47% would completely lose confidence. Large-scale cyber-attacks have already left a large number of banks victims of a hacker attack. This shows that the sector has to adapt to these risks. So, it’s important that banks invest more in security solutions to ensure 24/7 protection.

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  • Healthcare: More and more patient is having digitized medical records. In addition, artificial intelligence and web-enabled devices will increase the speed of diagnosis and improve patient care. However, the integration of personal data and Internet-enabled devices also involves risks. Earlier this year, Experian predicted that the healthcare sector would be the most affected market by cyber-attacks, as some examples have already shown. This means that the health sector should similarly invest in risk analysis as the banking sector. In addition, the implementation of industry-wide standards is needed.

 

  • Retail: In the retail market, customized shopping experiences are becoming increasingly important, so data analysis tools help retailers implement them. However, there is also a great responsibility to protect this data, which can include more than just shopping habits and login data, but also account details and addresses. Thanks to Internet technologies, augmented reality and face recognition, the shopping experience is becoming increasingly networked, but here, too, stronger networking also entails a greater risk of data loss. Therefore, the creation of a resilient strategy approach is also crucial for the retail sector.

 

  • Telecommunications: Telecommunications companies as Internet service providers are among the industries that are at increased risk for cyber-security. They should include security measures in network infrastructure, software, applications and endpoints to minimize the risk of customer vulnerabilities and data loss. Nowadays, consumers are increasingly wondering who they entrust their data to. For service providers, this is a good opportunity to provide additional security services. In addition, a collaboration between competitors may increase cyberattack resilience.

 

What does this mean for the year 2018?

 

Overall, it can be seen that companies in all industries, as well as individuals, need to improve their cybersecurity awareness, identify the risks, and take appropriate countermeasures. Key competitive advantages are companies investing in security solutions. At the same time, cyber-security must also become an issue for state governments and at the international level where laws and regulations must be adapted accordingly. In addition, governments must invest in training and education or disclosure of cyber-threat threats.

Enterprise Endpoint Security – Rules to Protect from Advanced Malware and Security Breaches

Businesses struggle to protect themselves from security breaches. They implement various security tools and solutions to protect their networks, applications, clouds, and endpoints. They strive to comply with regulations. Their security teams are combing seemingly endless security alerts. Nevertheless, there is a steady increase in successful cyber attacks. Palo Alto Networks, Gartner Magic Quadrant Firewall Leader for Sixth Year, takes a close look at the enterprise security for endpoints, which are still in the hands of antivirus solutions in many places.

Palo Alto Networks notes that threats and attackers have evolved, but many security solutions have not. The current threats are more sophisticated, more automated, cheaper to run and can take various forms. The attackers act in a larger style and at a faster pace. Many companies are not prepared for this. All this has escalated in recent years, according to Palo Alto Networks, while many security tools, solutions, and platforms have maintained the same practices as decades ago. Antivirus is a perfect example of how an approach is increasingly unsuitable for protecting systems from security breaches.

The following are the four key requirements that Antivirus cannot address, but which should cover an effective endpoint security solution:

 

  1. Cybersecurity incidents are on the rise, without any end!

To control security breaches and data loss, companies implement a range of different security solutions on the endpoints. Unfortunately, these solutions, and in particular traditional antivirus products, are struggling with the protection of enterprise systems – and often fail. This has led to an increase in the frequency, variety, and complexity of security breaches.

The security industry focuses primarily on improving detection and response time, which means that only the window is narrowed down from the time of an attack to the time an attack is detected. This does not add much to the need to protect valuable data before a company suffers a security incident. In order to reduce the frequency and impact of security incidents, there must be a shift away from post-incident detection and response, after critical resources have already been compromised, and towards prevention. It is important to prevent the attackers and threats from ever entering the company.

 

  1. Antivirus solutions aren’t effective in case of preventing successful cyber attacks

Cyber attackers often use free and cheap tools to generate new and unique, encrypted or polymorphic malware that can bypass detection by traditional signature-based antivirus programs. Attacks using unknown exploits and zero-day exploits are able to dodge antivirus protection. To protect against such techniques, an effective endpoint security solution must be able to protect the endpoints from known and unknown malware and exploits in the core phase of the attack.

 

  1. Mobile users increasing demand from businesses to secure endpoints outside the traditional networking edge

Organizations are opting for cloud-based software-as-a-service (SaaS) and storage solutions to connect to internal resources from anywhere in the world, both within and outside the company’s network. These services and solutions synchronize and distribute files across the enterprise, streamlining enterprise data processing and sharing. But they may also burden the entire company with malware and exploits. Threats such as malware distribution, accidental data disclosure, and exfiltration contribute to this threat in SaaS applications.

Cyber-attacks target end users and endpoints where the network is not fully observable, so employees outside the corporate network are more likely to encounter malware. To address these threats, endpoint security must also protect the systems beyond the traditional network perimeter.

 

  1. Enterprises have problems with patch management and the protection of end-of-life software and systems

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Weaknesses in applications and systems can always be expected. The problem is that vulnerabilities exist long before the release of patches and the implementation of patches, critical or not, is not guaranteed. In addition, companies that use legacy systems and software that have reached the end of their useful life are particularly vulnerable as security patches are no longer available. As a result, these companies can be exposed to risks that are unknown and difficult to control.

Situations such as these pose an opportunity for attackers to exploit these vulnerabilities and compromise unpatched applications and systems. With the growing number of software vulnerabilities discovered each day and exploit kits available in the underground market, even “hobbyists” have the ability to launch sophisticated attacks. Protecting un-patched or legacy systems and software requires an effective security solution that defends against both known and unknown threats.

 

Three ways to measure endpoint safety

 

Companies should choose security products that deliver both total costs of ownership and security effectiveness. This effectiveness is measured by the ability of the technology to perform at least these three core functions:

 

  1. Performance of the intended function

Does the technology provide the security function it should perform? Two primary attack vectors are used to compromise endpoints: malicious executables (malware) and vulnerability exploits. Effective endpoint security products must ensure that endpoints and servers are not compromised by malware and exploits. They also need to prevent both known and unknown variants of malware and exploits.

 

  1. Essential resolution

Does the solution prevent attackers and users from bypassing its security features? No security tool or security technology is designed to be easily bypassed. If attackers or end users are still able to bypass the intended function of the technology, they will not fulfill their original purpose. An effective endpoint security platform should not allow attackers to bypass security or cause performance problems that could cause users to disable them.

 

  1. Flexibility

Is technology evolving to cover and protect new applications, systems, and platforms? A few decades ago, the frequency and complexity of cyberattacks were rather low. Endpoint security tools are designed to prevent viruses from infecting the systems. However, today’s threat landscape is radically different, reducing endpoint security tools such as antivirus programs to reactive detection and response tools.

 

Security products must take a proactive approach to adequately protect endpoints. In order to reduce the frequency and impact of cybersecurity violations, Palo Alto Networks believes that accent must be placed on prevention.

Businesses should choose security products that offer the highest level of security. The effectiveness of a security solution can be measured by its ability to meet the three requirements above. A state-of-the-art endpoint protection solution is capable of doing so and can easily handle the above-mentioned four security challenges in enterprises.

Everything You Should Know About #Chatbots

Innovation is everyone’s business … The growth of any organization is based on the innovations that they are able to bring to the industry. For now Bot’s revolution is on the march: Gartner predicts that by 2019, ¼ of households in developed countries will use a bot as a privileged interface for access to services at home (personal service, Food delivery …).

Everyone talks about chatbots … but what is a bot? Before explaining a bot, let’s begin by emphasizing the difference between bots and Artificial Intelligence which are two separate subjects. If they work well together, they are nevertheless two distinct things.

 

A bot is a program that automatically interacts with a user: the coffee machine is one, for example. When a button is pressed, it produces coffee mechanically. During a conversation, chat, messaging, in a community, anywhere … you can have bots that respond to a human in the place of a human. This concept that generates all the current buzz is now an essential force of the Customer Experience.  A multitude of learning and research technologies have been in existence for decades, enabling the bot to continue to learn and develop through the huge number of databases.

The idea of ​​today is that a bot can be inserted in a conversation in such way that one can no longer distinguish the bot from a human, by responding in the same way, for example, or by allowing the bot find relevant content in the sense that it will have drawn from the user’s sentences.

 

Artificial Intelligence affects everything that comes close to human behavior. Understanding language, being able to formulate sentences, to disseminate meaning and emotions through written and oral language are at the heart of Artificial Intelligence.

It also deals with the recognition of images and their interpretation: knowing how to recognize shapes, colors … In all fields of Artificial Intelligence’s application, the most useful for the bots are those that revolve around the Language: NLP (Natural Language Processing), which allows the bot to understand the user’s language and the NLG (Natural Language Generation), allowing the bot to express itself.

Very important for the bot too, machine learning ensures its learning from a knowledge base, upgraded from various sources, and allows it to optimize itself. In short, Artificial Intelligence is a tool in the service of a bot so that it becomes more and more efficient.

 

The integration of chatbots today is one of the key to the success of the digital client relationship

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At present, 55% of Internet users use instant messaging on a daily basis. For the thirties generation, webchat and social media are the first channels of contacts. Within five years, it is expected that up to 80% of our uses will be via conversational services.

Today, among the 5 applications most downloaded 4 are applications of instant messaging … The messaging is thus about to anticipate all the other channels of communication and the Chatbots open immense opportunities to enrich or reinvent the Customer experience: they are the natural extension of virtual assistants. In a context where developments are only accelerating, Chatbots are a new and more modern form of assistance to consumers.

The Virtual Assistant or Dynamic Frequently Asked Questions has appeared many years ago on websites. Some virtual assistants are very popular and part of the natural landscape: before Siri, Cortana and Google Now, there was already Lea at the SNCF, Laura at EDF, Lucie at SFR … and the Chatbot is none other than the deployment of this same assistance on every new platforms in which one should no longer hesitate to invest. Flexibility and experimentation are the only means to stay at the forefront of the digital market and to move ahead in a market that is constantly changing.

 

 

The chatbots: the next step in the evolution of our habits

 

It is necessary to design the bots not as a function in vogue to test but as a next step in the evolution of our habits of research and relationship. To do this, we must first understand our habits in order to develop bots adapted to them.

The robot must above all be relevant by all the high-performing tasks it can perform. Companies must think of the bot always according to the client’s journey: to identify when to involve the bot and to define its objective. The introduction of a bot involves first a study of the client’s problem: an examination of the context and the typology of the contact. Then, there are several essential steps when designing the bot itself: studying the point of contact, identifying what is inducing flux and analyzing the origin of the audience, and then working on the “design” of the bot. The development of bots opens up real opportunities to better serve the customer.

Conducted tests showed that 80% of users accepted a first level of automated responses. What matters is that the relay is established “without friction”. The bot simplifies the first level of contact for the agent by precisely qualifying and routing the request. The agent who will follow the conversation will be able to devote his expertise and his time to deal with more complex situations, to trigger specialized interfaces that will enrich the client’s journey, and to live a relationship around interest or passion client. Thanks to Artificial Intelligence and bots, which will be able to group the clients into thematic clusters, the agent will be able to offer advice tailored to several people at the same time, optimizing his time while organizing communities of customers. Our navigation habits and our uses are continually evolving. The bot and the messaging create a considerable added value in the quality of our future conversations .

10 Gartner forecasts that will mark the IT in 2020

On the occasion of its Symposium / ITxpo (CIOs and senior IT leaders annual gathering) from 16 to 20 October in Orlando, the research firm Gartner announced 10 tech predictions for 2020. Gartner analyst reveled tech insights to help next gen IT teams and help to develop business.

One of the strong massage Gartner highlighted during the Symposium / ITxpo was the rapid adoption of augmented reality, web browsing, increased digital capabilities. According to the consultant, many users expect that companies, universities and governments implement these changes in near future.

10-gartner-forecasts-that-will-mark-the-it-in-2020

 

These are the 10 short-term forecasts announced by Gartner during its annual conference:

 

    • By 2020, 100 million consumers will shop in augmented reality environments
      Augmented Reality, known as the integration of digital information with user’s environment in real time, “will cover data”, told Daryl Plummer – analyst at Gartner. For example, when you enter a supermarket, “information on the various products will float in the air in front of each of them,” so consumers can check virtually before buying them. The AR will also be used in online shopping. Gartner predicts that by 2017 one in five global leading brand will be using augmented reality. Today, viewers can already see AR applications in football televised games, with new indicators displayed on the screen during games.

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    • By 2020, “We will talk more with robots than with our spouses”
      More concretely, for IT managers, this shift interactions to the voice exchange means that within four years, 30% of web browsing sessions will be done without screen. This is what is already being used by Alexa voice service of Amazon, and Google Home with the Echo device. But Gartner predicts that by 202 room-based screenless devices such as Amazon Echo and Google Home will be in more than 10M homes “This growing need for voice communications to interact with the Internet raises many questions” statement given by Aren Cambre, who heads a research group on Internet technologies at Southern Methodist University. “So far, all data representations have been designed for visual display,” he added, but it is not known yet how this will work non-visual interaction to use the services. “For example, how will a student ” see “his notes with Alexa? Or, how will he be authenticated? These are some important questions that we need answers before any shifting.

 

    • By 2019, 20% of brands will abandon their mobile applications
      “The applications shall be no more first class marketing support for major brands,” said Daryl Plummer. For many Gartner clients, already, apps were not up to the expectations of companies,” he added. “In addition, the app stores are full of apps, and it is very difficult to find a truly exceptional or indispensable app.” Plus in many cases, the maintaining cost of app is still higher than the profit. “Companies will turn more towards the mobile Web or will call on” Progressive Web Apps” just like Google. “When the user connects to a website from a mobile device, a framework will be downloaded in their mobile, and the next time they sign in, the app will work instantly,” said Daryl Plummer. Updates will be automatic. Don’t panic, the Apps are not going away, but “we get kind of in a post-app era,” he added.

 

    • The companies will use algorithms that will aim to “provide constructive help to the billions of worldwide workers”
      This system will work as a virtual assistant and by the end of 2017 the algorithms will allow commercial organizations to increases in profit margins by alerting employee’s behavior positively.

 

    • By 2022 the value of blockchain-based organizations will exceed $ 10 billion
      Blockchain, a public register of financial transactions, will enhance and promote the development of “major EU trading operations.” Because it helps to increase transparency and trust in transactions, blockchain technology will promote the development of large “ecosystems”.

 

    • By 2021, 20% of all individual activities will involve at least one of the top seven digital giants
      According Gartner, these 7 companies are Google, Apple, Facebook, Amazon, for the United States, and Baidu, Alibaba and Tencent, for China. These companies will be leading in IoT adoption and implications. This means that consumers will depend more than ever, on the large IT services companies via sensor based devices from these digital giants. Not only business but by 2020, 20% of homes will dispose more than 25 IoT and connected home solutions as well.

 

    • Investments in innovation won’t be cheap at all
      Gartner estimates that for every 1 dollar spent on innovation, it will take 7 dollars for its implementation. Especially because data centers have not been modernized, and it may have to resort to new and unknown technologies such as machine learning. “This also means that IT service providers will have to develop and modernize their skills to use these new technologies,” said Daryl Plummer.

 

    • IoT data will cause a slight increase in demand for storage
      The Internet of Things will produce a lot of data, but by 2020, the additional storage demand will increase by less than 3%. Indeed, most IoT data will not be stored, and algorithms will know what data should be saved.

 

    • By 2022, the IoT will save $ 1 trillion per year for consumers and businesses
      As a business, saving maintenance, services and consumables coasts is one of the biggest goal. For example by using sensors (IoT devices) it is possible to predict when it’ll be easier to predict material maintenance etc.

 

    • The use of fitness trackers will expand
      By 2020, Gartner estimates that 40% of employees will be able to reduce or cut off their health care expenses by wearing a fitness tracker.

 

Sources:

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