WISeKey International Holding Ltd, a leader in cybersecurity, digital identity, and Internet of Things (IoT) solutions operating as a holding companyannounced that its subsidiary SEALSQ Corp. is enhancing IoT with AI integration for advanced predictive analysis and efficient device behavio insights.
Expanding the horizon of secure and intelligent connectivity, SEALSQ is now integrating AI with its revolutionary NFT-based IoT certification. This advanced approach, termed as the AIoT (Artificial Intelligence of Things), is set to amplify the intuitiveness and efficiency of IoT devices, ushering in a new era of smart technology.
The synergy between IoT and AI introduces profound capabilities, as the certified, high-integrity data generated by IoT devices is now subsequently analyzed by AI. This comprehensive analysis provides unprecedented insights into device behavior, enhancing predictability and allowing for preemptive action rather than reactive measures. The integration significantly improves operational efficiency, productivity, and the overall security landscape of digital infrastructures.
One of the key processes employed in this advanced system is data learning, where AI algorithms continuously learn from the data produced by IoT devices. This data, validated and protected through SEALSQ’s innovative NFT technology, ensures that the insights derived are based on authentic and untampered data points, thereby improving the reliability of predictive analyses.
Furthermore, to accommodate diverse operational needs and data sensitivities, SEALSQ’s AIoT systems are architected to function in both cloud-based and edge-based setups:
Cloud-based AIoT: This configuration facilitates the storage, processing, and analysis of data on centralized servers, providing robust computing power and scalability for complex AI algorithms. This system is ideal for deep predictive analysis, historical data assessment, and large-scale data management, ensuring comprehensive insights that drive strategic, long-term decisions.
Edge-based AIoT: For real-time data processing and insights, where latency, bandwidth, and privacy are crucial, SEALSQ implements edge-based computing. This framework allows data to be analyzed directly on the IoT device or a nearby computing node, drastically reducing response times and enabling immediate decision-making. Particularly critical for scenarios like emergency response, infrastructure management, or real-time quality control, edge-based AIoT represents a significant advancement in immediate, data-driven actionability.
By employing machine learning and other AI methodologies, SEALSQ’s system can predict potential faults, security threats, or maintenance needs before they arise, with the added assurance of the data’s authenticity through secure, NFT-backed certification. This not only prolongs the lifespan of IoT devices but also safeguards critical infrastructures against interruptions and vulnerabilities.
The real-world impact of SEALSQ’s AIoT integration stretches across industries, including smart city applications, industrial automation, healthcare, and logistics. For instance, within smart cities, AIoT can optimize traffic systems in real-time, reducing congestion and emissions. In healthcare, it can predict equipment failures before they occur, ensuring uninterrupted critical care and patient safety.
In the burgeoning landscape of interconnected technology, the fusion of Artificial Intelligence (AI) with the Internet of Things (IoT) is forging a new frontier in cybersecurity defense mechanisms. This amalgamation, known as AIoT, is actively being deployed across industries, showcasing the potential to fortify cybersecurity like never before.
SOURCE: GlobeNewswire