In a typical enterprise environment, traditional IT endpoints, such as laptops, remain inside the IT world. Internet of Things (IoT) devices, on the other hand, are “non-traditional” and reside outside of the IT realm, usually in the physical world – although the two worlds are rapidly coming together because of the IT-OT convergence. In fact, connected IoT devices are a bridge between the digital world and the physical world, and many of them are much more mission critical than employee laptops.
The mission-critical IoT devices I am referring to are medical devices, programmable logic controllers, industrial robots, and smart building controllers. The security of these “things” is crucial for a company’s business. In the Healthcare industry, if a compromised medical device fails to deliver prompt, accurate data to caregivers and the appropriate, timely services to patients, it could mean the difference between life and death.
In the Manufacturing industry, any non-functional equipment on the assembly line could cause millions of dollars of damage to the final products as well as being hazardous to the health of workers within the manufacturing plant. Clearly, it’s vital for all IIoT (Industrial Internet of Things) devices to remain well-protected.
Simultaneously Increasing IoT Security and Productivity with a New Framework
Traditional IT security philosophy and methods focus mainly on malware and threat analysis. Consequently, they can address IT security vulnerabilities only. IoT devices cannot be sufficiently protected by most IT security products because malware or cyber-attacks that target IoT devices are very different from those that target laptops. ZingBox believes the best type of solution for protecting IoT devices is one that understands their behavior by leveraging machine learning technology.
ZingBox IoT Guardian automatically recognizes all IoT devices connected to the network and understands what should be considered normal behavior of each IoT device. This innovative approach can fundamentally address not only IoT security concerns, but also provide IoT operational intelligence. If an IoT device is behaving abnormally, it can be for four reasons. The device is:
- Experiencing an external cyber-attack
- Experiencing insider sabotage
- Having some operational problems due to misconfiguration
- Simply defective
ZingBox’s machine learning can identify such abnormal behavior in real-time, as well as offer root cause analysis to explain why such abnormal behavior occurs. The IoT behavior-based forensic analysis not only helps security engineers to secure IoT assets, but also assists operational managers in:
- Improving IoT device productivity
- Reducing IoT device downtime
- Optimizing IoT operational efficiency
By automatically recognizing every IoT device and understanding its normal behaviors, ZingBox IoT Guardian introduces a new, groundbreaking IoT security framework to provide both advanced IoT security protection and IoT productivity optimization.
Creating a New Product Category
ZingBox has transformed a traditional IT security product into a new product category that delivers clear Return on Investment (ROI) for customers. IoT Guardian can help both the top line (increase IoT productivity) and the bottom line (device safety, security, and reliability).
The Internet of Things Revolution is all about Internet Technology and Operations Technology (IT-OT) convergence from a business perspective. The last thing you want to do is to introduce a new product that creates more silos between IT and OT. ZingBox’s IoT framework enables IT and OT to speak the same language, based on the same set of data.
ZingBox IoT Guardian brings value to IT and OT, promoting communication and collaboration to both. Sign up for a ZingBox trial and see for yourself.