KW 32: NordVPN study – IoT security is often neglected, Conrad Connect reduces price of its smarthome platform, Into the future with intelligent stores


NordVPN study – IoT security is often neglected: According to a new study by Cint and NordVPN, around one in six consumers does nothing to protect their smart home devices. Yet 89 percent of all Germans already have an IoT-enabled device in their home. The survey of 1,000 people each from Australia, Canada, France, Germany, the Netherlands, the United Kingdom and the United States provides insight into how consumers are using IoT-enabled devices. User behavior is an important aspect when it comes to the security of IoT devices, which is exactly what the study shows.

Conrad Connect reduces price of its smart home platform: Conrad Connect wants to make its smart home platform more attractive for private consumers in the future and is therefore reducing its prices significantly. At the same time, customers will receive more services. This makes the private smart home more affordable overall. The current smart home trend is no longer geared towards selecting devices by manufacturer or protocol, but by functionality and appearance. At first, manufacturers didn’t envision it this way. For a long time, they believed that they could build small „walled gardens“ for themselves, in which only their own devices would function.

Into the future with intelligent stores: The topic of sustainability is omnipresent, and even IT is looking for innovative ways to promote it. Sustainability is a topic that is relevant to all business processes, particularly for the retail industry, says Xenia Giese from Microsoft Germany. „Smart stores“ are increasingly relying on digital solutions as intelligent branches, whose operation based on sensor technology, Internet of Things technology (IoT) and artificial intelligence (AI) is naturally more energy-intensive than the operation of a non- or barely digitized branch. Sustainable smart stores are therefore in high demand.

School district enables remote learning with Cisco wireless infrastructure: COVID-19 put a strain on school systems to provide remote learning options quickly by March 2020. Some 70% of students in the Canutillo Independent School District lacked internet access at home, further extending a digital divide in the area. Enlisting Cisco wireless infrastructure, the district not only enabled remote learning but provided the foundation for a truly digitized educational environment and greater community inclusivity.

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IoT implementation: Smart solutions make it easier to set up IoT applications
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According to Ikea, the smart air purifier „Starkvind“ can remove up to 99.5 percent of fine dust from indoor air.


Bosch turns to’s Collective Learning network for AIoT trials: Engineering giant Bosch is turning to Cambridge-based start-up for innovative AIoT trials. is a blockchain (or distributed ledger) that is aiming to build a decentralized network of autonomous “agents” that perform real-world tasks. For the IoT, it’s potentially groundbreaking. Bosch also seems to believe in’s vision and has been an early supporter of the start-up from almost the beginning. Bosch’s team from its Economy of Things (EoT) project has now taken its support one step further and launched machine learning trials on the Collective Learning network. By combining AI and blockchain technologies via’s network, Bosch expects to be able to predict potential failures of its machinery while retaining data privacy. Dr Alexander Poddey, Lead Researcher for Digital Socio-Economy, Cryptology, and AI in the EoT project, said: “Secure and trustworthy computation across several participants, while keeping the raw data and possibly even the learned model private is key to unlock the true value of distributed data. In our view, collective learning is a key enabler to leading digital socio-economy to efficiency.” Jonathan Ward, CTO of, commented: “Using machine learning to identify equipment failures is a difficult problem to solve as these events occur very infrequently. The collective learning system enables the different manufactures that use Bosch’s equipment to share information with each other without sharing the raw data, thereby greatly improving their ability to detect failures, and thus improve the efficiency of their operations.” Trust is at the heart of blockchains. Combine them with other technologies like AI and the IoT like and Bosch are doing and you have a powerful solution to some historically difficult problems.

Canadian network security firm launches industrial gateway: A fledgling Canadian network security company has launched its second product, a plug and play device aimed at protecting IoT devices. Halifax-based Byos Inc. said its industrial Secure Gateway Edge is a small box that plugs into industrial controllers, security cameras, medical devices, POS devices and other networked devices to isolate them within a local network. The company calls the approach micro-segmentation. By leveraging endpoint micro-segmentation through hardware-enforced isolation, the company argues, devices can be protected against network threats by minimizing the attack surface and protecting against remote code execution exploits. If an alternative attack compromises a device, the Gateway contains it, preventing lateral network infections from spreading. The approach also prevents ransomware and denial-of-service attacks from rendering devices inoperable, the company says. Connected by Wi-Fi or Ethernet, the Gateway allows administrators to have centralized management across a fleet of remote endpoints for simple policy provisioning, threat reporting, and security. The solution is sold on a subscription basis, with a cloud-based management console. Matias Katz, company founder and CEO, said a solution can cost between US$150 to $350 a year per endpoint, depending on volume and the architecture of the deployment, and the term.

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Sedimentum builds AI fall detector: Sedimentum has developed a contactless solution for fall and emergency detection and fall prevention in healthcare. A single sensor device is installed in each room (e.g. bedroom, bathroom) of the person in need of protection, for example, on the ceiling. The sensor device contactlessly collects different measurements, like human motion activities. All data is anonymized by the sensor device, encrypted and transmitted in real time to Sedimentum’s AI software. The AI software learns the „reference state“ of the room based on the transmitted data. If an irregularity in the data subsequently occurs, e.g. triggered by a fall, third parties (e.g. nursing staff in retirement homes) are notified by an alert sent in real time.


„This is not the time to pick technology winners or losers in cryptocurrency technology.“
Tesla CEO Elon Musk.


Australian federal court rules that AI can be a patent inventor: In a possible world-first decision, an Australian court has ruled that artificial intelligence can be named as the inventor of a patent. Federal Court Justice Jonathan Beach ruled in Thaler v. Commissioner of Patents that under Australian patent law, inventors don’t necessarily have to be human. The Deputy Commissioner of Patents said that the applicant, Dr Stephen Thaler, could not name an inventor because the inventor he had named, the AI system DABUS, simply cannot be an inventor under the Australian Patents Act. But Justice Beach said “that position confuses the question of ownership and control of a patentable invention including who can be a patentee, on the one hand, with the question of who can be an inventor, on the other hand.”,

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