The rapidly paced, innovative industrial monitoring sector, driven by Industry 4.0, compels the accompaniment of robust edge AI systems capable of information processing through real-time computing levels, with strict regard to security specifications. The very commonly employed conventional FPGA fabric, such as traditional fabric systems, which are popular for accelerating AI workloads on the edge due to their flexibility and capacity, contains a significant number of vulnerabilities, including IP theft, configuration manipulation, and side-channel attacks. They pose the most critical security risks in an industrial setup, where data integrity and system dependability are pivotal, as they may cause system failure or damage. To overcome these difficulties, an enhanced, subversive FPGA fabric architecture will be proposed in this paper, which can be applied in edge AI applications for intelligent production observation. The architecture also includes some hardware security features, such as the encrypted loading of bitstreams via the AES-256 encryption algorithm to verify configuration as it is loaded, and physically unclonable functions (PUFs) to authorise the device. Additionally, runtime integrity checking is implemented to verify configuration changes as they occur. It also cannot be affected by side-channel attacks because it uses noise injection and logic obfuscation as countermeasures against such attacks. It utilises AI-optimised processing units designed to combine sensor data, identify abnormalities, and enable predictive maintenance with low latency and power consumption. The proposed architecture is significantly superior in terms of simulation and security, being more sensitive to integrity attacks and amplifying security meters by up to 25% compared to the classic structure utilising an FPGA, while incurring relatively small expenses in terms of latency and power. The AI processing units will be more accurate and responsive in industrial environments, utilising tasks to make informed decisions. This secure FPGA fabric is, as a whole, a strong and versatile solution that provides high-performance edge AI processing and the most defensible hardware safety, making it ready to install a more secure, innovative, and reliable industrial monitoring system that is becoming increasingly interconnected.