Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Every hype cycle brings fresh security concerns, and AI is no exception. AI governance might sound like uncharted territory, but it’s really just another evolution of the same security principles AppSec teams have been applying for years. The fundamentals—secure coding, risk management, compliance, and policy enforcement—haven’t changed.

The cybersecurity landscape has dramatically shifted with the rise of cloud computing. While Endpoint Detection and Response (EDR) and Extended Detection and Response (XDR) have proven valuable in protecting traditional endpoints, the cloud introduces a new set of challenges. This post examines why these solutions, rooted in endpoint-centric approaches, may fall short in the cloud, highlighting the need for a new generation of cloud protection strategies designed for SaaS, IaaS, and PaaS environments.

Runtime security is all about real-time protection, actively monitoring and responding to threats as they happen, not just hardening, setting up barriers or reacting to attacks after the fact. Think of it this way: traditional security measures prevent most intruders, but what about the ones that manage to get in? Runtime security alerts you to any suspicious activity and takes immediate action to stop it. Why is this so important for containers?