Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Runtime security in multi-cloud environments encompasses the continuous monitoring and protection of cloud-based resources during their active operation. Unlike traditional security approaches that focus on static configurations or pre-deployment checks, runtime security emphasizes: This approach ensures that potential risks are identified and mitigated in real-time, providing an additional layer of protection against both known and emerging threats in complex multi-cloud setups.

One of the big advantages of running your workloads on a managed Kubernetes service like Google Kubernetes Engine (GKE) is that Google ensures your clusters are being deployed and managed following industry best practices. While GKE clusters are incredibly secure and reliable, there is always room for improvement. In this blog, we’re going to describe how you can enhance GKE’s already great security by adding runtime threat detection with Falco.

Our customers often tell us about how they implement manual classification policies. However, with several hundreds of files created daily, and constant sharing between teams, it becomes impossible to enforce secure sharing and sensitive data protection. Imagine that your sales team just accidentally shared a spreadsheet containing customer credit card details with an external vendor. Or perhaps your HR department stored employee health records in a folder that wasn't properly restricted.

In today's rapidly evolving digital landscape, the cloud has become an indispensable tool for businesses seeking agility and scalability. However, this migration also brings a new set of challenges, particularly when it comes to security. The increasing complexity and sophistication of cyber threats demand a proactive and comprehensive approach to safeguarding your cloud environments.