Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI agents have changed how teams think about private network access. Your coding agent needs to query a staging database. Your production agent needs to call an internal API. Your personal AI assistant needs to reach a service running on your home network. The clients are no longer just humans or services. They're agents, running autonomously, making requests you didn't explicitly approve, against infrastructure you need to keep secure.

The debate over lift and shift versus refactoring is one of the most persistent in cloud migration planning. It’s also frequently framed as a binary choice when it shouldn’t be. Most organizations will do both — the question is which approach applies to which workload, and in what order. Getting this decision wrong is expensive. Over-refactoring adds months to migration timelines and cost that’s difficult to justify.

Opti9 recently announced it has been approved as an authorized reseller for Anthropic models through Amazon Bedrock, further strengthening its ability to deliver secure, enterprise-grade AI solutions on Amazon Web Services (AWS). In October, AWS enabled its Solution Provider Partners to resell Amazon Bedrock, a fully managed service that provides access to a wide range of leading foundation models from top providers.

Microsoft 365 services are productive and reliable, but data loss can occur for various reasons. For example, a user may accidentally delete data or a ransomware infection may spread from local computers whose folders are synchronized with the cloud storage. Thus, Microsoft 365 backup is important for data protection and business continuity. With backups, you can recover the needed data and ensure uninterrupted workflows.

Cloudflare is accelerating its post-quantum roadmap. We now target 2029 to be fully post-quantum (PQ) secure including, crucially, post-quantum authentication.

Cloudflare was designed to be simple to use for even the smallest customers, but it’s also critical that it scales to meet the needs of the largest enterprises. While smaller customers might work solo or in a small team, enterprises often have thousands of users making use of Cloudflare’s developer, security, and networking capabilities. This scale can add complexity, as these users represent multiple teams and job functions.