Operations | Monitoring | ITSM | DevOps | Cloud

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.

Splunk is built around a deceptively simple premise: get your data in, search it, and act on it. In practice, the gap between “get your data in” and “data that actually works in Splunk ES” is where most of the engineering effort goes. CIM normalization is non-trivial. Technology Add-on development is slow. Volume-based licensing penalizes growth. And the combination means that as environments expand, Splunk becomes harder to operate efficiently.

The latest VirtualMetric DataStream release introduces several important capabilities across platform security, data management, and operational workflows. This update strengthens access protection, simplifies infrastructure management, and expands the ways security teams can work with live telemetry. It also extends platform connectivity and improves the user experience across many areas of the interface. Let’s take a closer look.

Google SecOps (formerly Chronicle) is widely used for large-scale security analytics, long-term telemetry retention, and detection across diverse environments. Its Unified Data Model (UDM) enables correlation across sources and supports analytics that operate over long time horizons. To take full advantage of these capabilities, security data must arrive in a consistent and well-structured UDM format. In practice, this is rarely the case.

Over the past two months, VirtualMetric DataStream delivered a substantial update cycle focused on resilience, productivity, and platform extensibility. This release strengthens the core architecture, makes pipeline development and troubleshooting significantly easier, and expands integration coverage across schemas, SIEMs, and cloud platforms. Let’s take a closer look.

Modern security operations face a growing architectural challenge: collect telemetry from everywhere, process it in real time, and route it to multiple platforms while maintaining data sovereignty, avoiding agent sprawl, and keeping costs under control. Single-model collection strategies force security teams to make compromises. Agent-only models create operational overhead and maintenance risk. Agentless-only approaches simplify operations but limit depth and flexibility.