Disruptive technologies have a learning curve in the pace of adoption and implementation. Training and education tend to follow a slower schedule and can have a hard time keeping up with discoveries happening on the bleeding edge. This is part of what led to the current cloud security skill gap. The cloud transformed software development, accelerating innovation and the pace of human creativity. But, we now know that it also formed new security challenges.

As the Internet grows, so do the demands for speed and security. At Cloudflare, we’ve spent the last 14 years simplifying the adoption of the latest web technologies, ensuring that our users stay ahead without the complexity. From being the first to offer free SSL certificates through Universal SSL to quickly supporting innovations like TLS 1.3, IPv6, and HTTP/3, we've consistently made it easy for everyone to harness cutting-edge advancements.

Now that we’ve introduced Elastic Cloud encryption at rest and walked you through setting it up in AWS and Azure, it’s time to get you set up in Google Cloud. In this final blog of the series, we will explain how encryption at rest works with Google Cloud Key Management Service (KMS) and then show you how to apply a Google Cloud KMS key to an Elastic Cloud Hosted deployment for encrypting data and snapshots at rest.

In the modern cloud landscape, the question isn’t whether or not you need a cloud access security broker (CASB) — it’s how to choose the right one and implement it effectively. Malicious attacks are on the rise, and so are remote and hybrid workforces, making it more important than ever to be proactive about data security.

Cybersecurity leaders already know the importance of a data loss prevention (DLP) solution. They also know DLP has its limits. As cloud applications have grown more common, they’ve introduced gaps in the DLP shield. SaaS apps present new opportunities for data leakage, accidental sharing, and insider threats. To plug those gaps, you need a cloud access security broker (CASB).

Privilege Access Management (PAM) controls access to privileged accounts, a key step in securing sensitive data and systems. Discover what PAM is, why you need it, and how to implement it effectively.

Artificial intelligence (AI) is revolutionizing most, if not all, industries worldwide. AI systems use complex algorithms and large datasets to analyze information, make predictions and adjust to new scenarios through machine learning – enabling them to improve over time without being explicitly programmed for every task.