Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The first time an MCP (Model Context Protocol) server felt real to me, it wasn't because of a clean demo. It was because of the noise. TL;DR: The harness matters more than the protocol, and the evidence matters more than both. MCP earns its keep when it shortens the path from a good security question to trustworthy evidence, and almost everything interesting about making that work happens in the harness wrapped around the model. In this series, I will cover how to build an MCP for an AI SOC.

Explore cloud security lessons from IEEE Cloud Summit 2026, including agentic AI risks, over-permissioned identities, Kubernetes policy, and forensics.

At the recent AWS Summits in New York and Toronto, Arctic Wolf was present to hear AWS introduce a set of security capabilities built to run continuously and act at machine speed. New approaches to vulnerability management, deeper integration of security into development workflows, and expanded context through knowledge mapping all point in the same direction: Security operations are becoming persistent, automated, and increasingly driven by AI.

This year's event made it clear that as AI agents scale across enterprises, we must solve ownership, delegation, least privilege, and auditability before production risk grows.

Pax8 Beyond 2026 made one thing clear: the managed services industry has entered a new phase. For years, managed service providers (MSPs) drove growth by adding more tools, more technicians and more services. Today, that model is cracking. AI, automation and rising customer expectations are reshaping how MSPs operate and how they create value. Technology alone is no longer the differentiator.

Sessions at BSidesSATX 2026 connected runtime secrets, cloud identity permissions, compliance evidence, and, ultimately, the human side of security.

One month ago, architecture, engineering, and construction (AEC) leaders gathered for the Egnyte AEC Summit 2026. By the end of the summit, the message was clear: AEC is moving past AI experimentation and into operational change. Three takeaways defined the day.

Last June, we hosted the first EveryOps Day in Sydney – born from the convergence of DevOps, DevSecOps, and AI/MLOps we were witnessing across every industry in APAC. A year later, with AI’s proliferation across software delivery and security, we took EveryOps Day to Mumbai on May 15, then embarked on the EveryOps Tour: a series of invitation-only executive events across Canberra, Sydney, and Melbourne.

The 2026 Kubernetes Community Day in NYC made trust an execution problem, linking zero trust APIs, agent governance, CVE evidence, and sustainable open source work.

There is a saying you will hear from veterans in the Black Hat Network Operations Center (NOC): “Threat hunting on the Black Hat network is like trying to find a needle in a stack of needles." With dozens of training classes running live exploit chains, capture-the-flag traffic, and researchers probing every corner of the internet, our Corelight sensors generate a rich set of Zeek logs, many of which can look suspicious in varying degrees.