Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

In Part 1 of this series, we addressed 18 Kubernetes best practices spanning across container hardening, observability, availability, and fault tolerance. Those practices secure the containers that agents run in. But the CNCF AI Technical Community Group's cloud-native agentic standards go further, establishing that securing containers is only the beginning.

Today, the UK government launched the Cyber Resilience Pledge: a voluntary framework inviting organizations to commit to foundational cybersecurity governance, board-level accountability, and comprehensive cybersecurity coverage across supply chains.

Your SOC probably already has good tools. A SIEM collects logs. An EDR agent watches endpoints. Threat intel feeds add context. Ticketing systems track work. Yet the team still feels slow, overloaded, and inconsistent. That gap is where most leaders start asking what is SOAR. Not because they want another acronym, but because they need a way to make the tools they already own work together, reduce manual effort, and respond with less chaos.

Cloud keys, shell history, SSH keys, AI agent caches: a complete inventory of where credentials hide on a developer's machine, and why infostealers go looking there.

For years, enterprise security focused on protecting users, endpoints, applications and data. Today another identity is entering the enterprise. AI agents. Unlike traditional chatbots that simply answer questions, modern AI agents can perform tasks on behalf of users. They can search corporate knowledge, summarize documents, create reports, interact with business applications and, with appropriate permissions, execute multi-step workflows.

A lot moved across the platform in June. Ticketing becomes a proper collaborative workspace, SQL Server monitoring goes from basic to comprehensive, and the Knowledge Base gains the kind of permission controls and team features that make it genuinely useful at scale. Here’s everything that landed.