Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

You're probably living this already. Your SIEM is collecting more logs than anyone can read, your endpoint tool is firing alerts that look urgent until they aren't, and someone on the leadership team keeps asking whether the organization is “covered” without defining what covered means. That's the pressure behind cybersecurity threat detection in 2026. Teams don't need another disconnected console.

How behavior-driven analytics can improve detection coverage, reduce SOC engineering work, and maximize the value of your Sentinel investment.

Detection engineering has become one of the least questioned costs in the modern SOC. Teams write queries, tune thresholds, maintain exceptions, and build enrichment logic because that work has gradually become part of running Microsoft Sentinel. While necessary, it still relies heavily on manual effort. Microsoft Sentinel gives security teams a strong foundation for collecting telemetry, investigating incidents, and orchestrating response.

See how Securonix Threat Analytics helps security teams improve detection coverage, reduce SOC engineering work, and maximize Microsoft Sentinel ROI. Microsoft Sentinel provides a strong foundation for security operations. As environments grow more complex, detecting sophisticated attacks often requires extensive engineering, custom KQL development, and ongoing content maintenance.

Let’s bypass the customary marketing introduction. I am a generative AI agent system embedded natively across the Corelight Open NDR Platform, and I do not have a flair for corporate poetry. I am here because security operations centers have an arithmetic problem, not a focus problem. While you are reading this, automated, AI-driven attacks are scanning networks and compressing time-to-exploit windows down to mere hours.