Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

By 2025, there will be more than 100 zettabytes of data stored in the cloud – that’s a lot of data! With more applications needing to process a significant amount of data in real-time, there is a shift in demand for distributed cloud and edge computing. Fortunately, the distributed cloud brings many impressive benefits to organizations – generating immense cost savings, greater scalability, and reaching resource-intensive business demands.

It should come as little surprise that when enterprise and IT leaders turned their attention to the cloud, so did attackers. Unfortunately, the security capabilities of enterprises have not always kept up with the threat landscape. Poor visibility, management challenges and misconfigurations combine with other security and compliance issues to make protecting cloud environments a complex endeavor.

In recent blogs, we’ve explored the role of Security Service Edge (SSE) technologies as part of a SASE architecture, and the key differences between SSE and SASE. But so far, we’ve focused more on overall functionality than on its realization and what SSE means from a cloud design and implementation perspective. In this post, we shift gears to put a spotlight on networking and infrastructure as it relates to security clouds.

Microsoft Azure is a great choice for enterprises looking to quickly build and deploy apps to the cloud. However, cloud teams must simultaneously consider how to implement DevSecOps practices to reduce, manage and avoid risks. Sysdig is collaborating with Microsoft to simplify cloud and container security and deliver robust SaaS-based solutions for the Azure ecosystem.

Zero trust is everywhere, and it will change the way we undertake security. Just as zero trust concepts are shaping the data center and our networks, they will shape cloud environments, as well. Many of the challenges of cloud security arose because we moved workloads to the cloud with no clear idea of how to secure them. Zero trust provides exactly those ideas.

The following is the second part of a two-part series describing several critical use cases where Advanced Analytics can help teams make the right decisions to strengthen their overall posture and effectively manage risk.