Security is Fundamental, But Are We Too Underestimating it?

Do we live in a more risky world than in the past? The answer is yes, according to 72% of top business managers worldwide interviewed by BDO for the Global Risk Landscape 2017 edition, the annual report of the company’s audit firm and business advisory firm investigating business risk factors international.

What is surprising is that there is no security issue out of the top three risk factors, out of concern about compliance with regulations (35%), increasing competition in the market (30%) and the economic crisis ( 29%). If questioned about the company’s uptime about the changes in global business, only 21 percent of European business leaders point to cyber risk as a factor that will surprise their businesses over the next 10 years.

The context outlined by the BDO report seems totally inadequate to the current global scenario, where we are attending world-c

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Do we live in a more risky world than in the past? The answer is yes, according to 72% of top business managers worldwide interviewed by BDO for the Global Risk Landscape 2017 edition, the annual report of the company’s audit firm and business advisory firm investigating business risk factors international.

What is surprising is that there is no security issue out of the top three risk factors, out of concern about compliance with regulations (35%), increasing competition in the market (30%) and the economic crisis ( 29%). If questioned about the company’s uptime about the changes in global business, only 21 percent of European business leaders point to cyber risk as a factor that will surprise their businesses over the next 10 years.

The context outlined by the BDO report seems totally inadequate to the current global scenario, where we are attending world-class cyberattacks such as WannaCry and Petya. If this is accompanied by Ponemon and IBM estimates, which account for $4 million in the average economic loss caused by a company by system violations in 2016, with an increase in ransomware attacks by 6,000% a year last, it is clear that the security issue is at least underestimated.

According to BDO, there are eight steps each company should take to be able to be resilient to cyber attacks. The first is to constantly update security information systems with the latest software versions available to avoid the so-called 0-day, publicly known security vulnerabilities.

The second step is to install monitoring systems that timely activate the alarm in case of violation. What’s important is to know what data are contained in their systems and how they are defended. The fourth step is to protect this data with appropriate access control systems. The fifth is the corporate culture: it is necessary to teach all employees how to recognize an ongoing hacker attack and how to take safe behaviors during daily work.

The next step is to look at the business supply chain and ensure that stakeholders and third parties are well prepared for cyber-risk by sharing good practice. Finally, we need to be able to discuss the cybernetic risk at the summit adequately, as we would address any other risk, economic or otherwise.

In the event of an attack, as always stated in the BDO report, the first thing to do is to realize that the attack is ongoing. Then, immediately shut off the parts of the attached system, to avoid contagion propagation. At the reputational and communicative level, it is also necessary for each company to prepare in advance an official standard statement that can promptly send the press and stakeholders.

More Than 7,000 IoT Malware Have Been Discovered in 2017 Alone

A greater number of devices connected to the Internet and each other also means a significant increase in the number of malware that reaches these devices. This is the conclusion of Kaspersky Lab’s five-month study of threats involving the Internet of Things (IoT).

Only from January to May 2017, researchers detected 7,242 samples of malware on those devices. The number is 74% more than the total number of samples detected in the period between 2013 and 2016.

According to the scientists, the attacks already existed a few years ago, but they even boomed in 2016 with the emergence of the Mirai botnet. And there is no lack of devices to be targeted: according to Gartner data, there are more than 6 billion devices connected to the Internet on the planet.

Size is not document

Whether they are thermostats, sensors, refrigerators, garage doors, smart

A greater number of devices connected to the Internet and each other also means a significant increase in the number of malware that reaches these devices. This is the conclusion of Kaspersky Lab’s five-month study of threats involving the Internet of Things (IoT).

Only from January to May 2017, researchers detected 7,242 samples of malware on those devices. The number is 74% more than the total number of samples detected in the period between 2013 and 2016.

According to the scientists, the attacks already existed a few years ago, but they even boomed in 2016 with the emergence of the Mirai botnet. And there is no lack of devices to be targeted: according to Gartner data, there are more than 6 billion devices connected to the Internet on the planet.

Size is not document

Whether they are thermostats, sensors, refrigerators, garage doors, smart wristbands or even toys, these products are especially vulnerable because the firmware of each product usually does not receive as many security updates. It has standard passwords and does not receive the user’s due attention. And, once controlled, they can not only receive commands remotely but also serve as the gateway to the invasion of other electronics in the house.

On the other hand, hackers find several advantages when attacking such devices because they have low power consumption, are portable, low cost, are available on the Internet and can be configured with open source tools available for free.

The number of connected device installations in the healthcare industry is increasing consistently. According to a report by Grand View, it is estimated that globally the healthcare industry will invest about $ 410 billion in IoT devices, services and software by 2022. Along with this trend, emerged from some procedures like Medjack, in which attackers seek to compromise equipment that connects to medical devices.

In August of this year, one of the leading manufacturers of pacemakers issued a call alert to upgrade firmware to about 465,000 patients after discovering a vulnerability that gives the attacker the ability to perform different attack vectors that would have a direct health impact of patients.

It’s a trend that is far from reversible and increasing every day. This leads us to the urgency of thinking about what security measures should be taken for this type of technology.

In China, A Hyperloop Competitor Wants to Create 4000 km/h

China could still get a network of Hyperloop routes ahead of the rest of the world. Media reports show a concept that is to be used for short, medium and long distances – for passengers and freight and at speeds of more than 4000 kilometers per hour.

The Chinese Aerospace Science and Industry Corporation, as reported by The Register, citing Chinese media, is planning to use magnetic levitation trains in vacuum tubes that are going to the whole country. On short distances between cities speeds of 1000, on medium distances between conurbations 2000 and on long distances and with cargo loads even 4000 kilometers per hour are to be reached.

The consortium behind the concept has, according to own data, more than 200 patents with which the plans are to be implemented. For the energy supply of the network, the tubes should also be covered with solar cells on the upper side – China’s ow

China could still get a network of Hyperloop routes ahead of the rest of the world. Media reports show a concept that is to be used for short, medium and long distances – for passengers and freight and at speeds of more than 4000 kilometers per hour.

The Chinese Aerospace Science and Industry Corporation, as reported by The Register, citing Chinese media, is planning to use magnetic levitation trains in vacuum tubes that are going to the whole country. On short distances between cities speeds of 1000, on medium distances between conurbations 2000 and on long distances and with cargo loads even 4000 kilometers per hour are to be reached.

The consortium behind the concept has, according to own data, more than 200 patents with which the plans are to be implemented. For the energy supply of the network, the tubes should also be covered with solar cells on the upper side – China’s own Hyperloop could even be neutralized in combination with nuclear power plants.

The cost of such a stretching net would be immense. Many conventional railroad lines in China are, for this reason, only laid on a single track in the mountain regions and are therefore heavily utilized. Train rides from one to the other end of the country can take several days. Nevertheless, the construction of a Hyperloop could actually take place for political reasons: the Lhasa railway to Tibet has also cost the People’s Republic a lot.

Whether the technical requirements for such a project exist is doubtful. Recently, teams from all over the world had taken test drives with sledges at the Hyperloop competition in Nevada. The record was set by a team from Munich with a speed of 324 kilometers per hour, far from the 4000 kilometers per hour postulated in China.

In Shanghai, however, the Transrapid, developed in Germany, has been operating as a magnetic levitation train with proven technology for more than a decade.

Intel, Toyota and Ericsson Join Forces in the Big Data Car

To exploit the enormous amounts of data generated by connected cars, a handful of industrial players (including Toyota, Intel or Ericsson) have agreed to adapt edge computing, a method of data exchange using new network infrastructures and in order to exploit BigData in the automotive sector.

With the advent of autonomous driving, connected cars promise to generate billions of gigabytes of data that will not only store but know how to exploit to pull the full essence of this pool of information.

Before this, it will also be necessary to make these data intelligible and exchangeable. Intel has agreed with Toyota, NTT Docomo, Ericsson or Denso to collaborate to facilitate the exchange of this data in the cloud.

These players recently announced the <a href="http://newsroom.toyota.co.jp/en/detail/18135029/&quot; target="_blank" rel="noopener"

To exploit the enormous amounts of data generated by connected cars, a handful of industrial players (including Toyota, Intel or Ericsson) have agreed to adapt edge computing, a method of data exchange using new network infrastructures and in order to exploit BigData in the automotive sector.

With the advent of autonomous driving, connected cars promise to generate billions of gigabytes of data that will not only store but know how to exploit to pull the full essence of this pool of information.

Before this, it will also be necessary to make these data intelligible and exchangeable. Intel has agreed with Toyota, NTT Docomo, Ericsson or Denso to collaborate to facilitate the exchange of this data in the cloud.

These players recently announced the creation of the automation consortium Edge Computing, which has set itself the main objective of working on data generated by intelligent vehicles.

“The goal is to develop an ecosystem for connected cars to support emerging services such as smart driving, map generation with real-time data, and cloud-based driving support,” reads the statement issued by Toyota.

The Automotive Edge Computing will focus on increasing the network capacity to accommodate the large volume of data that will land in the coming years. The consortium plans to invite “world leaders in the technology industry” to join its ranks in the coming months.

The premise of the Automotive Edge Computing is based on the belief that all connected cars will send 10 exabytes of data per month by 2025.

According to the founding members of the agreement, this will require a new architecture for the networks and machines that will have to process all this data. With edge computing, the consortium imagines that it can find a solution based on a technology whereby the data is first processed locally and then transferred to the cloud.

IBM And MIT Are Researching Jointly Artificial Intelligence

The renowned Massachusetts Institute of Technology and the company IBM are setting up a joint laboratory for artificial intelligence: the MIT-IBM Watson AI Lab is to carry out basic research and develop concrete technologies with the help of physicists, economists, and computer developers.

IBM will contribute 240 million dollars to the cooperation between the company and the university for the next ten years, reports VentureBeat. Both institutions will hire researchers for the new laboratory, which will jointly carry out research in four areas that have been identified as relevant for the future with AI.

The research areas of MIT-IBM Watson AI Lab include, in practical application, the development of new AI algorithms and

The renowned Massachusetts Institute of Technology and the company IBM are setting up a joint laboratory for artificial intelligence: the MIT-IBM Watson AI Lab is to carry out basic research and develop concrete technologies with the help of physicists, economists, and computer developers.

IBM will contribute 240 million dollars to the cooperation between the company and the university for the next ten years, reports VentureBeat. Both institutions will hire researchers for the new laboratory, which will jointly carry out research in four areas that have been identified as relevant for the future with AI.

The research areas of MIT-IBM Watson AI Lab include, in practical application, the development of new AI algorithms and the use of physical research for new hardware in this area, especially in quantum computing. In more theoretical future studies, the application possibilities of AI in specific industrial areas as well as the possible effects of this technology on society are to be investigated.

The research of AI should be useful to both partners and is not the first collaboration between MIT and IBM in this area. Last year, IBM and the MIT Department of Brain and Cognitive Sciences published a joint study on image recognition by AI. The results of the new laboratory are to be partly made available to the world but partly also in commercial products from IBM.

Unlike other AI labs, such as Google’s Deepmind and the OpenAI non-profit project launched by Elon Musk, Microsoft, Amazon and other investors, IBM’s Watson AI Lab is more interdisciplinary.

The Sewbot Robot will Produce Millions of ‘Made in USA’ T-shirts

In 2018, the Chinese group Tianyuan Garments will open a brand new factory in Arkansas, home to an army of self-sufficient Sewbots robots capable of manufacturing nearly 1.2 million t-shirts a year – directly on American soil – under the supervision of a handful of technicians only.

Last year, President Trump based much of his election campaign on his ability to repatriate some of the companies producing manufactured goods at lower cost in foreign countries (read in CNN), notably in China.

Regularly the target of the ire of the American leader (read here), the Middle Empire is described by many as being a country using social dumping to produce cheap products subsequently reso

In 2018, the Chinese group Tianyuan Garments will open a brand new factory in Arkansas, home to an army of self-sufficient Sewbots robots capable of manufacturing nearly 1.2 million t-shirts a year – directly on American soil – under the supervision of a handful of technicians only.

Last year, President Trump based much of his election campaign on his ability to repatriate some of the companies producing manufactured goods at lower cost in foreign countries (read in CNN), notably in China.

Regularly the target of the ire of the American leader (read here), the Middle Empire is described by many as being a country using social dumping to produce cheap products subsequently resold in the United States, such as clothing carrying her daughter’s claw (read in Newsweek).

The situation is changing. But not in the direction hoped for by The Donald.

A stand alone robot

Indeed, the Chinese Tianyuan Garments Company will open its new factory in 2018, in the middle of the US territory. In Arkansas, 21 production lines made up of weavers will be able to manufacture 100,000 t-shirts a month.

With this production rate, the Chinese factory will be able to compete with the costs of making t-shirts in China and then cargo transport to their place of sale.

The plant will be one of the first in the world to use SewBot machines, developed by SoftWear Automation, based in Atlanta. Eventually, this process could transform the landscape of the world textile industry.

The Sewbot robot was developed at the Research Center for Advanced Technologies of the University of Georgia Tech, in a program launched there nearly a decade. In 2012, researchers were finally awarded a grant by DARPA – the Department of Innovation integrated with the US Department of Defense – to develop the process for its commercialization.

By 2015, Softwear Automation was marketing a simpler version of its robot weaver, able to produce bath mats or towels at an incredible rate.

The evolution of this machine, the stand-alone robot deployed within the plant in Little Rock (Arkansas), will now be able to manufacture t-shirts and partially produce jeans pants.

The customer of Softwear Automation, the Chinese Tianyuan Garments Company, has already indicated that the goal was to produce the equivalent of 800,000 t-shirts a day with its fleet of machines. A figure is hardly believable since it is robots autonomous.

The death of textile jobs?

To maintain and supply and maintain this precision machinery, the plant should create about 400 jobs. But it is, of course, a figure not commensurate with the volume of employees needed for a more ‘traditional’ production.

Moreover, SoftWear Automation is trying to change the idea that its weaving robots are preparing to cause a real slaughter in the textile sector.

According to a study carried out in-house, the manufacturer explains that a robot such as the SewBot generates between 50 and 100 jobs in its value chain, in particular because it makes it possible to obtain the label ‘Made In USA’ and leaves the opportunity for the clothing brand to invest in the purchase of local raw materials, increasing the demand for labor in the surrounding area.

Apparently, this version seems a bit optimistic. But the Sewbot has other advantages: the Fashion for Good initiative, which tries to make the textile sector aware of environmental issues, estimates that the Sewbot could help reduce the sector’s emissions by about 10%.

The Hyperloop is India’s Hope For a Better Transport Network

Between the Indian cities of Amaravati and Vijaywada, a Hyperloop could go in the not too distant future. At least, the government and the Hyperloop Transportation Technologies company signed a declaration of intent.

A Hyperloop route between two cities in the Indian state of Andha Pradesh is a first step towards establishing the region as a tech location. The project is to create around 2,500 jobs and start in October, as reported by TechCrunch. Then a test starts, which should check the feasibility of the project. A total of six months are estimated for this.

The second phase is the actual construction phase of the Hyperloop section. Private investors largely finance the work. Until the route is ready to go, it would probably take years.

The route is to create the core of a significantly better network of connections in India, which so far has a

Between the Indian cities of Amaravati and Vijaywada, a Hyperloop could go in the not too distant future. At least, the government and the Hyperloop Transportation Technologies company signed a declaration of intent.

A Hyperloop route between two cities in the Indian state of Andha Pradesh is a first step towards establishing the region as a tech location. The project is to create around 2,500 jobs and start in October, as reported by TechCrunch. Then a test starts, which should check the feasibility of the project. A total of six months are estimated for this.

The second phase is the actual construction phase of the Hyperloop section. Private investors largely finance the work. Until the route is ready to go, it would probably take years.

The route is to create the core of a significantly better network of connections in India, which so far has a poor transport system. For the drive of the straight 42.8 kilometers, you need with the car currently still over 70 minutes. With the Hyperloop, this will be achievable in six minutes.

However, a conventional train track would also be much faster than the previous roads – and the Hyperloop is currently only a short test track in Nevada and first attempts with floating capsules still a real future technology without any final proof of feasibility and economy on a grand scale.

Another project reveals the fact that Prime Minister Narendra Modi is serious about modernization: Next week, Modi and his Japanese colleague, Shinzo Abe, will lay the foundations for another project: a Japanese high-speed train between Mumbai and Ahmedabad will be put into operation. So far, the 500-kilometer-long route lasts seven hours, with the new express train only two.

The Federal Government of Germany is also interested in business with India and is financing a feasibility study of a high-speed train from the South Indian metropolis of Chennai to Mysore. In the case of the billions of billions, the question arises whether a general overhaul of the public transport system might not be more cost-effective.