The latest edition of the Pwn2Own hacking competition was held during the S4 security conference in Miami. The Zero Day Initiative, which hosts the competitions, aims to increase security awareness by promoting the ethical disclosure of software security vulnerabilities.
Security incidents occur when access and change management privileges are not strictly controlled and back-ups are not maintained. Overseeing proper operation and implementation of AI is similar to adhering to best practices in software protection.
Think of AR in an IIoT manufacturing context: now technicians with AR can remotely monitor, change and maintain systems without putting the operator in danger; however, AR requires a massive amount of network resources.
Industrial Control, like many other systems, are vulnerable to insider attacks. However, they have the additional challenge that they are still largely based on technology from several decades ago, when systems were totally air-gapped from the rest of the world.
In just the last 12-18 months, the culture and consequences of opioid drug use has supplanted internal theft, sexual harassment and other issues, emerging as the primary focus of most of the internal undercover investigations for manufacturing clients.
Manufacturers who can uniquely identify individual parts in a secure manner have an advantage over the competition, which is struggling to master this new concept. With ioTrust, manufacturers can associate their products with a secure, unique identity, that can extend through the supply chain.
Technology for Industrial Control Systems and SCADA are now available that allow for continuous monitoring of these critical systems. A baseline is created and any deviations can be alerted and acted upon.
Humans and robots can now share tasks - and this new partnership is on the verge of revolutionizing the production line. Today's drivers like data-driven services, decreasing product lifetimes and the need for product differentiation are putting flexibility paramount, and no technology is better suited to meet these needs than the Omron TM Series Collaborative Robot. With force feedback, collision detection technology and an intuitive, hand-guided teaching mechanism, the TM Series cobot is designed to work in immediate proximity to a human worker and is easier than ever to train on new tasks.