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By VirtualMetric
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.
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By VirtualMetric
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.
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By VirtualMetric
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.
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By VirtualMetric
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.
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By VirtualMetric
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.
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By VirtualMetric
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.
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By VirtualMetric
Security data collection has become a first-class architectural concern for modern SOCs. Once collection is treated as a dedicated layer, separate from analytics and detection, the next question becomes practical: how should telemetry be collected in a way that aligns with this architecture? In the previous article, we examined why this shift occurred. Here, we focus on how different collection models (agent-based, agentless, and hybrid) fit into modern security data collection architectures.
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By VirtualMetric
Security teams are increasingly turning to Amazon Security Lake to consolidate security telemetry across cloud, network, and on-prem environments. Security Lake provides a unified, OCSF-based data repository that powers analytics, threat hunting, and machine learning across AWS services and third-party tools. But to take advantage of Security Lake’s capabilities, organizations must deliver clean, normalized, OCSF-compliant data, and this is where challenges arise.
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By VirtualMetric
Security operations teams depend on telemetry from everywhere: endpoints, identity systems, cloud platforms, networks, applications, and security tools. This data underpins detection, investigation, compliance, and response.
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By VirtualMetric
Microsoft Sentinel adoption often introduces unexpected complexity. While the platform delivers powerful SIEM and XDR capabilities, organizations frequently struggle with manual DCR configuration, inconsistent data quality, rising ingestion costs, and security risks associated with credential-based integrations. VirtualMetric DataStream is now available in the Microsoft Sentinel Content Hub, reducing the effort required to deploy normalized and cost-optimized data ingestion.
Security teams lose time and detection quality to the same root cause: inconsistent, noisy, poorly structured data. VirtualMetric DataStream is a security data pipeline platform that fixes the data layer — so your SIEM, data lake, and analytics tools get clean, normalized, actionable telemetry. What DataStream delivers: The result: reliable security telemetry, faster threat correlation, and stronger detections across your entire stack.
From free trial signup to live security telemetry flowing into Microsoft Sentinel — this demo covers the full DataStream setup end to end, in under 14 minutes. No pre-built environment, no shortcuts. Watch the step-by-step tutorials.
Microsoft Sentinel data lake is becoming a core component of modern security architectures. In this on-demand webinar, Microsoft and VirtualMetric discuss how security teams can approach Sentinel data lake adoption to improve visibility, control cost, and prepare their data for AI-driven security workflows.
Ever wondered how you can massively reduce SIEM data ingestion costs? In this video, Yusuf walks you through how VirtualMetric makes it happen. We’ve found a way to reduce SIEM ingestion costs by up to 90% using smart data pipelines, real-time data processing, and 99% compression rate for long term storage. If you’re dealing with large amounts of log data and looking for a way to save on costs while improving your cybersecurity operations, this might be what you need!
CEO Jimmy Wind explains how VirtualMetric helps organizations process large volumes of log data efficiently, reducing ingestion costs while maintaining performance and compliance in about a minute.
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By VirtualMetric
Witness the success of the Turkcell Splunk Migration Project, where VirtualMetric emerged as the preferred log monitoring solution. With its active-active ingestion mechanism, end-to-end encryption, and pay-as-you-go model, VirtualMetric has become the go-to choice for enterprises seeking comprehensive log monitoring capabilities with minimal resource usage.
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By VirtualMetric
With #VirtualMetric VMware Monitoring, you can see all your #VMware clusters, vCenters, servers, datastore, virtual machines, resource pools, etc. You also get 360 degrees observability over your VMware environment. Get detailed statistics on processors, memory, storage usage and network information. VMware Monitoring is a Powerful and Easy To Use Server Monitoring and Management Tool
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By VirtualMetric
VirtualMetric provides a powerful tool to observe your database performance and health. With VirtualMetric's tool, you can monitor #Database Transactions, Database Statistics, #PerformanceMetrics and #Inventory from a single dashboard. Drill down into detailed statistics to troubleshoot your database performance and optimize it. Ensure compliance and guarantee the security of stored data with advanced visibility across datasets.
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By VirtualMetric
Within just a couple of seconds, you can see your entire server infrastructure’s status in a visual format in VirtualMetric's Heatmaps. All hardware and performance-related issues will be highlighted in the form of visual cues in neatly organized heat maps. The information is also updated in real-time, thus allowing you to catch errors before they pass the threshold. 👉 Flexible and scalable option VirtualMetric, being cloud-based, can quickly adapt to changing server requirements and infrastructure setups.
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By VirtualMetric
VirtualMetric Real-time Monitoring Suite is supporting Dashboard Playlists, providing full visibility over your infrastructure and virtualization monitoring for your whole team. Monitoring a complex infrastructure is a hard task. We make it simple thanks to our Dashboard and a bunch of functionalities focused on your user experience, time-saving and improving the efficiency of your team.
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VirtualMetric is a secure real-time infrastructure monitoring solution, which enables you to easily manage your software and hardware assets.
Our main target is to facilitate the daily work of all system engineers, architects, administrators, and IT managers by giving them a powerful tracking and reporting tool and full control over their infrastructure.
VirtualMetric is an agentless reporting software for Microsoft Hyper-V, VMware, Microsoft SQL, Microsoft IIS, Bare Metal. It monitors your hosts and clusters to provide you with detailed statistics and sophisticated reports. By using our solution all our customers get complete visibility on all infrastructure processes and environment changes due to VirtualMetric's preconfigured over 650 performance counters and detailed inventory scanning.
VirtualMetric takes care of the monitoring routine to let you focus on your main targets.