Cloud Computing

This article offers a fresh perspective on AI security, emphasizing that while core AI models are often the focus, the surrounding infrastructure and cloud services are equally critical to securing AI applications, particularly with the rise of AI-as-a-Service.

By 2025, Gartner has projected that over half of enterprises’ expenditure on software, infrastructure, business process services, and system infrastructure will be directed toward cloud-based solutions. We have seen this trend in enterprise spending both during and after the pandemic, on top of how fast companies are shifting to the cloud.

Tools that aggregate access into multiple different environments, such as API gateways, pose a security risk for all these environments upon breach. In this article, we continue our journey through the security issues of the API Gateway landscape. Our new research focuses on another popular API gateway — Kong.

We delve into the multifaceted nature of cloud cyberthreats in 2024, from the stealthy dangers of data poisoning in machine learning models to the complexities of securing APIs, and more.

In this article, we dive into API gateway functions and risks, the advantages of API gateways in hybrid and multi-cloud environments, and common API security risks and best practices.

2024 is poised to be a hotbed for new challenges in cybersecurity as the economic and political terrains continue to undergo digitization and enterprises increasingly leverage artificial intelligence and machine learning (AI/ML), the cloud, and Web3 technologies. While these innovations are expected to lend a hand to organizations, they also provide opportunities for cybercriminals by promising big returns, more streamlined operations on wider impact zones, and more targeted victims.

Kubernetes, also known as K8s, is a very complex open-source platform that requires detailed attention to security. Despite previous efforts to increase its security, Kubernetes remains insecure by default and requires different security tools to protect the cluster.

Our research identifies sensitive environmental variables in the Microsoft Azure environment that, when leaked, can be used by malicious actors to compromise the entire serverless environment.

Enterprises and organizations are facing a period of transition and uncertainty – malicious actors will hunker down and reuse tried-and-tested tools and techniques.