This blog has been written by an independent guest blogger. Since its advent, the debate over its ethical and unethical use of AI has been ongoing. From movies to discussions and research, the likely adversarial impact AI has had over the world has been a constant cause of concern for every privacy and security-conscious person out there.
APIs are a critical component of today’s development landscape because of their importance in microservices. Since modern software is often composed of various microservices, certain functionalities may be beyond the scope of an individual API. With an API gateway, we can aggregate those services to behave as if they were a single API, and return complex responses from disparate microservices through a single call to an API gateway.
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.
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.
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.
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.
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) 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.
