AIoT
AI-assisted IoT systems have the capacity to generate millions of gigabits of data every day. These huge data streams produce new threats because the data itself becomes increasingly valuable. Secure-IC provides solutions that will guarantee the integrity of the data and the authenticity of the computations on this data.
Internet of Things (IoT) has made its way into the public and private domains with solutions ranging from smart offices, smart homes, smart industries to smart cities. As all these applications serve to improve end-user usability by communicating user data between connected devices, it is pertinent to employ high-level cybersecurity to all nodes and edges of the communication infrastructure.
Due to the hostile environment in which the IoT infrastructures reside, a smart solution is required to understand the critical security needs and adapt accordingly. Secure-IC is committed to providing state-of-the-art solutions merging Artificial Intelligence in IoT to its customers for advanced data learning and IoT security focusing on resolving 0-day vulnerabilities through monitoring and response mechanisms.
With the traditional procedural way of processing data, the prospects for security monitoring are limited to known threats in the network. In addition, emerging technologies in the network and data processing fields, such as AI and 5G, seem to solve the crisis that could arise from billions of connected devices expected to exist in the near future and generate terabytes of data. Secure-IC provides cybersecurity with AI for IoT/AI to facilitate Artificial Intelligence of Things (AIoT).
Artificial intelligence in IoT is facilitated with
- AI – Self-Learning systems with data traffic processing and reasoning capabilities and providing a smart line of defense
- 5G networks – High availability network with near zero latency in data communication enabling real-time information processing
- Big data – Massive amounts of data generated and processed from a wide range of sources
- Security – Smart monitoring of the network-connected devices for real-time security analysis against 0-day threats
One of the biggest challenges in a typical IoT network is identifying rogue or unwanted nodes that might attach themselves to the network for the purpose of sniffing or compromising it and its devices.
With digital identity verification, it is possible to identify device authorization and isolate unauthorized devices. However, sophisticated impersonation attacks may still be able to bypass this check. This leaves the need for security monitoring of network behavior to identify genuine and malicious activities within the network with self-learning capability. AI-powered IoT would not only provide an intelligent complement to the services of IoT nodes, but can also participate in detecting intrusions and anomalies of threatening actors in the system and take necessary actions against them.
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