Web services-based applications have an important presence in public and private organizations. Vulnerabilities stemmed from these types of applications may give rise to unforeseen risks to the business model of these organizations. These applications have the inherent risk of being used by organizations in such a way that their activity is affected, resulting in becoming the main entry point for attackers, leading to security breaches.

Lanner, in collaboration with Techman Robot, introduces an advanced AI-powered Robotic Automated Optical Inspection (AOI) solution designed for precision industrial product inspection. This innovative system combines Techman’s collaborative robotic arm, equipped with a built-in AI vision system, and Lanner’s industrial-grade EAI-I730 robotic controller featuring an NVIDIA RTX 6000 ADA GPU. The integration of robotic automation and edge AI enables highly accurate, real-time defect detection in manufacturing environments.

Hospitals and healthcare facilities face significant challenges in managing pharmaceutical inventories. Manual tracking of drug stocks is prone to errors, leading to shortages, overstocking, and compliance risks. Inefficient inventory management impacts patient care and increases operational costs.

Smoke detection is a cornerstone of fire safety, as smoke is often the earliest indication of a potential fire hazard. However, traditional smoke detectors can be delayed in identifying smoke, particularly in expansive spaces or areas with high ceilings. Addressing these limitations, the Lanner Edge AI Security Solution—AI Smoke Police (AISP)—offers a sophisticated, AI-based approach to real-time fire and smoke detection, ensuring quicker response times and enhanced safety measures.

As the global energy grid faces increasing challenges from aging infrastructure and insufficient automation, advanced monitoring solutions are essential to protect critical infrastructure such as substations, drilling rigs, and oil and gas facilities. Modern technologies, such as AI-powered computer vision and thermal detection systems, provide comprehensive solutions to mitigate risks, enhance safety, and ensure operational continuity.

As generative AI models such as Large Language Models (LLMs) become integral to various industries, ensuring the privacy and security of sensitive data is critical. LLMs often interact with sensitive corporate or even personal data during training and inference, posing significant risks to privacy; such challenges must be addressed by de-identifying and securing sensitive information throughout the AI lifecycle.

Onshore drilling rigs operate in remote, hazardous environments where safety, reliability, and operational continuity are pivotal. The complexity of these environments requires robust OT (Operational Technology) security to protect sensitive industrial control systems (ICS) from cyber threats, unauthorized access, and operational disruptions.

페이지 1 / 전체 51