Operations | Monitoring | ITSM | DevOps | Cloud

The security data pipeline platform has become the most strategically important layer in the modern SOC, and in the last twelve months, the largest security vendors have paid to own it. CrowdStrike acquired Onum for $290 million, SentinelOne acquired Observo AI for $225 million, and Palo Alto Networks acquired Chronosphere for $3.35 billion. The layer that sits between your data sources and your security tools now decides what every downstream tool receives, at what cost, and in what shape.

Every detection rule, every threat hunt, every AI agent you deploy rests on one silent assumption: that the data describing an attack actually reached your tools. When it doesn’t, nothing above it can save you, and no one gets an alert that the data was missing. Security teams invest heavily in the sharp end of the stack: detection content, threat intelligence, response playbooks, and increasingly, AI agents to triage and investigate at machine speed.

Your organization has approved AI platforms for development, data science, and productivity. Procurement signed off. Legal reviewed the terms. Employees are using them. The tools are sanctioned. What isn’t sanctioned is invisibility. The administrative layer of every AI platform in your environment — OpenAI, Amazon Bedrock, Google Gemini, Cursor, Databricks, Glean and others — generates security-relevant events that your SIEM has never seen.

June 19, 2026 This is not a regular monthly update. DataStream Version 2.0 is a milestone — the result of relentless building, learning from customers, and pushing the platform toward what enterprise-scale security operations actually demand. The core has been rebuilt, new capabilities have been added across the board, and the platform is now faster, more resilient, and more extensible than ever. Here’s what’s new.

The shift to autonomous and AI-assisted security operations is well underway. But there is a quiet infrastructure decision that will determine whether your AI agents are sharp or sluggish: how your security data is structured before it ever reaches them.

The latest VirtualMetric DataStream release (version 1.10.1) focuses on three things security and infrastructure teams consistently need: better credential management, faster agent deployment at scale, and broader connectivity. Here’s what’s new.

Last week, the cybersecurity industry received a signal it cannot afford to ignore. Anthropic announced Claude Mythos Preview: a general-purpose frontier AI model that, without any explicit training for the task, autonomously discovered and fully exploited zero-day vulnerabilities across every major operating system and web browser. Not theoretical capabilities.

The latest VirtualMetric DataStream release brings a significant step forward in platform observability and deployment flexibility. Version 1.9.0 gives security and infrastructure teams direct visibility into what’s happening across their pipelines in real time while expanding support for cloud-native environments and broadening connectivity options. Here’s what’s new.