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Store What You Need, Analyze What You Must

In this blog, we explore why modern security operations must rethink their approach to telemetry collection and retention. With cloud-native platforms introducing real-time cost and performance tradeoffs, the legacy “collect everything” mindset is no longer sustainable. Instead, we present a strategy rooted in selective collection and tiered retention, where each log source serves a defined purpose — from detection to enrichment, investigation, or compliance. By aligning storage decisions to actual operational value, organizations can reduce cost, improve detection clarity, and streamline investigations without sacrificing visibility. This blog offers practical guidance on building a purpose-driven telemetry pipeline that scales efficiently, performs reliably, and supports smarter security outcomes.

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Blogs

Modern SIEM Efficiency Starts at Ingestion: How Microsoft Sentinel’s Data Collection Rules (DCRs) Shape Detection Value

In this blog post, we explore the vital role of selective data collection in modern security operations and examine how Microsoft Azure Sentinel addresses this challenge using its powerful Data Collection Rules (DCRs). Whilst the discussion centres on Sentinel-specific examples, the insights presented are highly relevant for any organisation looking to enhance SIEM efficiency. Whether you're a security architect aiming to streamline detection or an MSSP customer focused on reducing data ingestion and operational costs, adopting a signal-driven logging strategy can yield substantial benefits. By being deliberate in what data is collected, organisations can lower overhead, sharpen threat detection, and ensure cost-effective log management.

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