Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Vector databases are everywhere now. If you are building anything with AI—recommendation engines, semantic search, RAG pipelines—you are probably running a vector database. And if you are running it in production, you are running Milvus on Kubernetes. Here is the problem. Your vector database holds millions of embeddings. Maybe hundreds of millions. Each one represents expensive processing—API calls to OpenAI, inference from your own models, hours of batch jobs.

Why do most Kubernetes security tools fail teams in practice? Because they treat deployment and security as separate problems. A true Kubernetes security deployment service embeds scanning, policy enforcement, and runtime monitoring directly into the deployment flow — so risky workloads never reach production in the first place. Why isn’t shift-left security enough on its own?

Why do most Kubernetes security tools miss runtime threats? Most Kubernetes security tools were built to scan configurations and images, not to watch what’s actually happening in clusters. They tell you what might be wrong but can’t show what’s actually being attacked. Static scanning finds theoretical risks—a CVE exists somewhere in your container image.

The Calico community moves fast. With the releases of Calico 3.30 and 3.31, brings improvements in scalability, network security, and visibility. Now, we want to see what YOU can do with them! We’re excited to officially invite you to the Project Calico 3.30+ Community Hackathon. Whether you’re a seasoned eBPF expert or a newcomer to the Gateway API, we welcome your innovation and your ideas!

As organizations increasingly leverage Kubernetes for modern, cloud-native applications, the challenge of managing these environments securely and at scale grows. A centralized platform is needed to simplify Kubernetes operations, enabling deployment, management, and security across cloud, on-prem, and edge locations. Crucially, access to these Kubernetes environments, particularly production clusters, demands stringent control.