As we step into Cyber Awareness Month this October, organizations must take a closer look at how new technologies like IoT, AI and advanc wireless standards are transforming the threat landscape. Many emerging solutions remain under the radar October Cyber . The integration of these innovations into network (on-premises and cloud) infrastructures brings both opportunities and challenges, especially when it comes to security and business continuity.
The convergence of AI and IoT (AIoT) | The sharp paradox
AI is beginning to merge with IoT devices, creating what is known as AIoT. The integration of AI into IoT assets, enables them to collect, analyze and act on data autonomously. In a typical IoT setup, connect devices (like sensors) gather and send data to be process, often by centraliz systems. However, by embding
AI into IoT, these devices can
Make decisions locally: AI algorithms enable devices to process data in real-time without relying on cloud servers, allowing faster responses
Prict and optimize operations: AIoT systems spain whatsapp number dat a spain whatsapp number data can prict trends, such as machinery failure in Industrial IoT (IIoT) and automatically schule maintenance before issues arise, leading to prictive maintenance
Enhance automation: AIoT devices can automate processes bas on intelligent decision-making
It is important to keep in mind that AI post commercial author photo algorithms are not immune to manipulation. Cyber criminals can exploit vulnerabilities in AI models, poisoning the data to force IoT devices into unsafe behaviours or decision making. For example, compromis AI models us in IIoT environments could cause sensors to give false readings, disrupt operations or damage equipment. In addition, AIoT devices are inherently complex.
the device, the harder it is to secure
The combination of IoT and AI means that security must be appli to the hardware, firmware, software, communication protocols and AI models, as each of those can be target separately by cyber criminals. america email list Best practice would be to implement AI security measures in a very early stage. As AI becomes integrat into IoT devices, organizations and especially CISOs should focus on AI model integrity and explainability, ensuring they are resilient to tampering.