WISeKey selected by the German health tech company Digital Diagnostics AG to secure its digid cantisense SARS-CoV-2 test - Seite 2

WISeKey’s medium term digital transformation strategy is to leverage its technology platform via long-lasting relationships with strategic partners designed to bring a stream of high-profile clients that are in high demand for cybersecurity solutions, such as AI, digital identity and privacy, secure mobile communication, secure cloud computing, IoT, secure semi-conductors, Blockchain and other innovative technologies offered by WISeKey. WISeKey AIoT technology resulting from the groundbreaking combination of their industry leading products: arago’s AI based Knowledge Automation and Data platform and WISeKey’s Cybersecurity and IoT technologies.  

WISeAI integrates semiconductors, MEMS, smart sensors, IoT systems, Artificial Intelligence and a data cloud to deliver to customers a unique offering to power innovation and digital transformation. Using WISeKey’s cybersecurity technology and IoT network, data will be collected in HIRO where it can be processed and through automation acted upon in real time in a highly secure environment.

AIoT is the brain that will power the nervous system of the network of IoT objects operating in the WISeKey ecosystem, which currently connects over 1.6 billion IoT devices secured with WISeKey’s VaultIC. With the introduction of 5G, the ecosystem will continue to grow at a much faster rate as 5G will enable the connection of every object, person, and machine.  AIoT will embed AI into the core infrastructure components of the ecosystem including Root of Trust, semiconductors, and edge computing. Specialized APIs are then used to provide interoperability between components at the device, software and platform level to optimize system and network operations. Data processed through AIoT is then collected and made accessible to extract value and enhance market intelligence and knowledge for customers. AIoT also enables secure automation of actions and business decisions based on real time data and enables IoT to work independently with minimal human support, unlike the current state of the market which requires that all actions be coded in advance based on pre-defined scenarios.

With the use of AI algorithms and predictive maintenance implemented through AIoT, IoT devices will have the capability to dynamically determine actions to take decisions, self-program based on analytics, and customer defined knowledge, resulting in lower operating and maintenance costs for providers.