Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Ranking the top 10 SIEM platforms in 2026

Security information and event management, or SIEM, remains one of the foundational technologies in the security operations center. Gartner defines SIEM as a configurable system of record that collects, aggregates, and analyzes security event data from on-premises and cloud environments to support threat detection, investigation, and response, along with compliance requirements.

Agents can now set up your website's security with Turnstile Spin

In 2023, Cloudflare declared itself free from CAPTCHAs with the launch of Turnstile, our privacy-first client-side challenge. Turnstile is free to use, works on any site (no need to proxy traffic through Cloudflare), and never asks a visitor to solve a puzzle. Now, we are launching Turnstile Spin, an agent-mediated end-to-end implementation of Turnstile.

AI is Accelerating Your Environment. Our Connector Keeps Up: The Next Evolution of the Service Graph Connector for Tanium & ServiceNow

The Service Graph Connector for Tanium has been a reliable and proven way ServiceNow customers keep their CMDB populated with Tanium endpoint data. As environments have grown and AI has accelerated the pace of change, the opportunity became clear: what if the CMDB could reflect that change as it happens, instead of catching up on a schedule?

Investigate your network in plain English: introducing Natural Language Query

Every SOC analyst has been there. An alert fires. You know what you need to find. Maybe it's all outbound connections from a specific host that spiked overnight. Maybe it's every DNS query over 100 characters from a subnet you're watching. You know the question. What you don't know is the exact query syntax you need to ask it. So you open the documentation. You search for field names. You try a query, get it wrong, adjust, and try again. Minutes pass.

How the Aurora Agentic SOC Is Building the Next Generation of SOC Analysts

AI is changing how security operations work. It can process more data, reduce repetitive work, and move investigations forward faster than human teams could on their own. But speed and scale are not the only factors security leaders should be considering. The more important question is what happens to human expertise when machines take on more of the investigative workload. Across the industry, there is growing concern that AI will narrow the path into technical careers.

Building an AI-Ready Engineering Team in 2026

Two engineering teams can have access to the same AI tools and get very different results. The difference is rarely the technology. It's engineering practices, technical leadership, and a shared understanding of where AI actually helps versus where it produces fast-looking work that creates problems later. Building an AI-ready team isn't about replacing developers with automation or hiring a separate group of AI specialists. It's about preparing existing teams to use AI without giving up the software quality, security, and accountability the work requires.