For most companies, security and IT systems are growing in complexity, breadth of scope, and coverage, which consumes budget and staff time. The rapid breakdown of the traditional perimeter in this “new normal” world increases the challenges IT teams and remote users face on a daily basis.
Whether you’re migrating to the cloud via lift-and-shift deployments, or re-architecting to a cloud-native architecture, the migration itself and adopting a microservices architecture is no easy feat. To accelerate their cloud-native journey, many organizations opt for a managed Kubernetes service, as the skill and resources required to run a container orchestration system at scale are demanding.
You’ll probably agree that there are barely any organizations left that don’t use some form of cloud computing in their daily operations. In fact, the cloud computing market is booming, with various sources expecting a worth of upwards of $600 billion within the next two years. And it makes sense: Cloud computing is the cheaper, scalable, easier-to-manage young cousin of yesteryear’s private server.
Cybersecurity threats to manufacturing and process plants are coming from a wide range of attack vectors, including supply chain, logistics, enterprise computing, remote connections, operator stations, programmable logic controllers, distributed control systems (DCSs), smart sensors, and new smart devices. Internet of Things (IoT) technologies offer greater connectivity and endless applications, but they make the cybersecurity landscape more complex.
The Internet of Things (IoT) is increasingly becoming a part of our homes, businesses, and public services with a wide range of uses from ‘smart’ home appliances to complex industrial tools. With the increasing adoption and application of IoT devices, they have also become increasingly targeted by malicious actors looking to take advantage of opportunities to access them.
Internet of things (IoT) application and rollout has been rapid, disrupting and streamlining processes in a variety of industries, However, it has created a situation where “today’s IoT security is lightweight compared to enterprise application security” , creating a need for IoT security solutions than many of the insufficient and fragmented options.
The Internet of Things (IoT) has been a rapidly implemented technology, with estimates suggesting that there will be over 50 billion devices connected to the internet by 2020. This number includes not only traditional computing devices, but also a wide range of “smart” devices including cars, appliances, and even medical implants. As these devices become more and more common, the need for effective security management becomes increasingly important.
Amidst the havoc that has been data breaches, another one bites the dust! Microsoft on Wednesday disclosed that they had found a high-severity flaw in the Android version of the TikTok app that gives the hackers a free way to hijack a user's accounts with One SINGLE click. The issue had apparently been reported to Tiktok back in February and was quickly fixed before it could be exploited.
The explosive growth of the Internet of Things (IoT) is changing the way we live, with over 27 billion connected devices by 2020, it’s no wonder that businesses are looking to IoT solutions to improve efficiency and drive innovation. However, with this increased connectivity comes a variety of new security threats that need to be addressed. In this article, we will discuss best practice guidelines for managing your IoT security.
Almost a year ago, Gartner predicted that API attacks would be the most frequent enterprise attack vector in 2022. Strengthening API security is more critical today than ever and must be at the core of cybersecurity strategy to prevent API exploitation. To make matters worse, the lack of API visibility weakens core security principles. More organizations don’t have an accurate inventory of APIs, and it is not surprising for 30% of APIs to be unknown.
