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Gemalto rolls out on VMware Cloud via AWS

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Gemalto has announced that its SafeNet data encryption and key management solutions are now available to customers of VMware Cloud on AWS.

VMware Cloud on AWS brings together VMware’s enterprise-class Software-Defined Data Center (SDDC) software and elastic, bare-metal infrastructure from Amazon Web Services (AWS) to give organisations consistent operating model and application mobility for private and public cloud. Gemalto’s SafeNet solutions enable VMware Cloud on AWS customers to deploy client-side encryption, centralised key management and tokenisation to simplify security operations such as data visibility, compliance auditing, and policy execution and enforcement.

Gemalto’s SafeNet data encryption and key management solutions help organisations protect their data in the cloud, applications, data centres, networks and virtual environments. VMware customers running workloads in AWS can easily integrate Gemalto’s cloud-ready security technology to:

  • Boost cloud security – customers can store and manage keys in central, hardened appliances, and gain the visibility and control they need to consistently and effectively enforce security controls.
  • Ensure key ownership – through secure key storage, high availability, and scalability, organisations ensure they retain total control of their encryption keys and data.
  • Streamline key management – administrators can centrally manage keys, permissions and policies with more speed, ease, and efficiency.
  • Simplify compliance – the centralised platform enables customers to ensure and demonstrate compliance with stringent security policies and compliance mandates.

VMware Cloud on AWS technology partners enable customers to deploy the same proven solutions seamlessly in both the public and private cloud. VMware simplifies the deployment and eliminates the need for partners to refactor solutions for VMware Cloud on AWS. If a partner solution works on-premises in a VMware vSphere® environment, it will easily support VMware Cloud on AWS. VMware technology partners complement and enhance native VMware Cloud on AWS service and enable customers to realise new capabilities.

For more information, visit the VMware Cloud on AWS marketplace or try a 30-day free trial of Gemalto’s SafeNet KeySecure and SafeNet ProtectV for VMware. 

Executive quotes:

“Companies gain elasticity and speed to market with the cloud, but often want to maintain control over the security of their data. With Gemalto, VMware Cloud on AWS customers have one data protection solution making it easier to monitor and track all of their activities,” says Todd Moore, senior vice president of Encryption Products at Gemalto. “Working across multiple cloud services is becoming the norm. Using a centralised system helps companies take a preventative approach to security instead of reactive one by getting a better understanding of where the data resides, how it is being used and the current threats to privileged users.”

“VMware Cloud on AWS provides customers with a seamlessly integrated hybrid cloud offering that gives customers the SDDC experience from the leader in private cloud, running on the leading public cloud provider, AWS,” says Mark Lohmeyer, vice president, products, Cloud Platforms Business Unit, VMware. Solutions such as SafeNet KeySecure and connectors enable IT teams to reduce costs, increase efficiency and create operational consistency across cloud environments. We’re excited to work with partners such as Gemalto to enhance native VMware Cloud on AWS capabilities and empower customers with flexibility and choice through solutions that can drive business value.”

More information on Gemalto’s VMware Cloud on AWS products:

  • SafeNet KeySecure – centralizes the management of encryption keys used for the protection of sensitive data in virtualized and cloud environments.
  • SafeNet ProtectV – unifies encryption and control across virtualized and cloud environments, improving business agility and lowering your costs.
  • SafeNet ProtectApp – provides application-level encryption for a broad range of Web application servers and enterprise applications hosted on virtual machines and in the cloud.
  • SafeNet ProtectFile – Encrypt unstructured data and control access to sensitive folders and files.
  • SafeNet ProtectDB – delivers database encryption for sensitive corporate and customer information stored in cloud-based databases
  • SafeNet Tokenization – protects sensitive information by replacing it with a surrogate value to help organizations comply with industry standards like PCI-DSS and HIPAA

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Smart home arrives in SA

The smart home is no longer a distant vision confined to advanced economies, writes ARTHUR GOLDSTUCK.

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The smart home is a wonderful vision for controlling every aspect of one’s living environment via remote control, apps and sensors. But, because it is both complex and expensive, there has been little appetite for it in South Africa.

The two main routes for smart home installation are both fraught with peril – financial and technical.

The first is to call on a specialist installation company. Surprisingly, there are many in South Africa. Google “smart home” +”South Africa”, and thousands of results appear. The problem is that, because the industry is so new, few have built up solid track records and reputations. Costs vary wildly, few standards exist, and the cost of after-sales service will turn out to be more important than the upfront price.

The second route is to assemble the components of a smart home, and attempt self-installation. For the non-technical, this is often a non-starter. Not only does one need a fairly good knowledge of Wi-Fi configuration, but also a broad understanding of the Internet of Things (IoT) – the ability for devices to sense their environment, connect to each other, and share information.

The good news, though, is that it is getting easier and more cost effective all the time.

My first efforts in this direction started a few years ago with finding smart plugs on Amazon.com. These are power adaptors that turn regular sockets into “smart sockets” by adding Wi-Fi and an on-off switch, among other. A smart lightbulb was sourced from Gearbest in China. At the time, these were the cheapest and most basic elements for a starter smart home environment.

Via a smartphone app, the light could be switched on from the other side of the world. It sounds trivial and silly, but on such basic functions the future is slowly built.

Fast forward a year or two, and these components are available from hundreds of outlets, they have plummeted in cost, and the range of options is bewildering. That, of course, makes the quest even more bewildering. Who can be trusted for quality, fulfilment and after-sales support? Which products will be obsolete in the next year or two as technology advances even more rapidly?

These are some of the challenges that a leading South African technology distributor, Syntech, decided to address in adding smart home products to its portfolio. It selected LifeSmart, a global brand with proven expertise in both IoT and smart home products.

Equally significantly, LifeSmart combines IoT with artificial intelligence and machine learning, meaning that the devices “learn” the best ways of connecting, sharing and integrating new elements. Because they all fall under the same brand, they are designed to integrate with the LifeSmart app, which is available for Android and iOS phones, as well as Android TV.

Click here to read about how LifeSmart makes installing smart home devices easier.

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Matrics must prepare for AI

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students writing a test

By Vian Chinner, CEO and founder of Xineoh.

Many in the matric class of 2018 are currently weighing up their options for the future. With the country’s high unemployment rate casting a shadow on their opportunities, these future jobseekers have been encouraged to look into which skills are required by the market, tailoring their occupational training to align with demand and thereby improving their chances of finding a job, writes Vian Chinner – a South African innovator, data scientist and CEO of the machine learning company specialising in consumer behaviour prediction, Xineoh.

With rapid innovation and development in the field of artificial intelligence (AI), all careers – including high-demand professions like engineers, teachers and electricians – will look significantly different in the years to come.

Notably, the third wave of internet connectivity, whereby our physical world begins to merge with that of the internet, is upon us. This is evident in how widespread AI is being implemented across industries as well as in our homes with the use of automation solutions and bots like Siri, Google Assistant, Alexa and Microsoft’s Cortana. So much data is collected from the physical world every day and AI makes sense of it all.

Not only do new industries related to technology like AI open new career paths, such as those specialising in data science, but it will also modify those which already exist. 

So, what should matriculants be considering when deciding what route to take?

For highly academic individuals, who are exceptionally strong in mathematics, data science is definitely the way to go. There is, and will continue to be, massive demand internationally as well as locally, with Element-AI noting that there are only between 0 and 100 data scientists in South Africa, with the true number being closer to 0.

In terms of getting a foot in the door to become a successful data scientist, practical experience, working with an AI-focused business, is essential. Students should consider getting an internship while they are studying or going straight into an internship, learning on the job and taking specialist online courses from institutions like Stanford University and MIT as they go.

This career path is, however, limited to the highly academic and mathematically gifted, but the technology is inevitably going to overlap with all other professions and so, those who are looking to begin their careers should take note of which skills will be in demand in future, versus which will be made redundant by AI.

In the next few years, technicians who are able to install and maintain new technology will be highly sought after. On the other hand, many entry level jobs will likely be taken care of by AI – from the slicing and dicing currently done by assistant chefs, to the laying of bricks by labourers in the building sector.

As a rule, students should be looking at the skills required for the job one step up from an entry level position and working towards developing these. Those training to be journalists, for instance, should work towards the skill level of an editor and a bookkeeping trainee, the role of financial consultant.

This also means that new workforce entrants should be prepared to walk into a more demanding role, with more responsibility, than perhaps previously anticipated and that the country’s education and training system should adapt to the shift in required skills.

The matric classes of 2018 have completed their schooling in the information age and we should be equipping them, and future generations, for the future market – AI is central to this.

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