We at Netskope Threat Labs have published a series of blogs detailing the misconfigurations in cloud apps causing data exposure. Misconfiguration and sensitive data exposure have been listed as predominant top 10 OWASP security risks for years, and are now also the predominant cause of cloud data breaches.
We are certainly in unique times, with COVID driving digital transformation at an unprecedented pace, remote work appearing to be long term, and the specter of new threats looming over security professionals as they strategized how to protect a rapidly changing business and tech landscape. To use perhaps one too many cliches: it is the best of times, it is the worst of times, the times are a changin’, and a change will do you good. No really, it will.
Kubernetes clusters have become the go-to solution for hosting applications in the cloud. Most cloud providers offer Kubernetes services, such as the Azure Kubernetes Service (AKS), Amazon Elastic Kubernetes Service (Amazon EKS), or Google Kubernetes Engine (GKE). But are you spending too much on compute resources in the cloud? Is your load pattern complex and difficult to predict? Is the load growing inconsistently or are you running applications on-demand that could cause sudden bursts?
Earlier this year, the news broke of a new method that attackers were using to infiltrate Google Drive.
Enabling enclaves-based security is key for enterprise cloud adoption General availability of Nitro Enclaves, recently announced by AWS, is Amazon’s way of delivering confidential computing to its customers. Following similar announcements by Microsoft Azure and Google Cloud, AWS announcement further confirms growing demand for additional runtime protection of customer’s data and other intellectual properties.
2020 has been a challenging year. Organizations had to quickly figure out how to secure employees and mobile endpoints working outside their existing perimeter-based controls. To take a step back, 2020 isn’t an anomaly. This shift to mobile-first was happening well before the pandemic.
Modern languages like Python, NodeJS, and Go make it easy to handle concurrent requests for multiple customers at the same time by using threads or goroutines. Such services seem very cost effective because one process can handle hundreds or thousands of tenants. However, this efficiency comes at a hidden, steep price. When language runtime scheduling breaks down, one tenant can cause an outage for everyone.
