Why modern SOCs are switching from Microsoft Sentinel. Not just faster—smarter, simpler, and made for the real world.
How Does Sentinel's AI Approach Differ from Fluency?
AI in cybersecurity isn't about automation for its own sake. It's about precision, decision-making, and trust. Microsoft treats AI as a co-pilot—summarizing, suggesting, reacting. Fluency treats AI as a front-line analyst, capable of assessing threats, taking action, and filtering what actually matters.
Microsoft treats AI as a co-pilot—summarizing, suggesting, reacting. It's a rule-based engine with reactive tooling, lacking persistent memory and integrated workflow execution.
Fluency is built to replace Tier 1 and Tier 2 analysts—not supplement them. The platform ingests, validates, triages, and acts on events in real time, focusing analysts on the rare, novel, and strategic.
Detection by Query vs. Detection by Process
Microsoft Sentinel approaches detection through a database-centric lens. Its design is rooted in searching static logs using KQL (Kusto Query Language). Fluency takes a fundamentally different approach—one centered on process execution and real-time state.
Microsoft Sentinel approaches detection through a database-centric lens. Its design is rooted in searching static logs using KQL (Kusto Query Language), treating detection as a saved search problem.
Fluency doesn't store logs and hope someone queries them later. It builds workflows from events the moment they happen. Detection happens in motion—using real-time state, memory, and logic to drive response.
Head-to-Head: Fluency vs Microsoft Sentinel
See how Fluency's real-time AI-driven approach compares to Microsoft Sentinel's traditional query-based detection. The numbers don't lie—modern security requires modern solutions.
Feature | Fluency | Microsoft Sentinel |
---|---|---|
Detection Engine | MCP with memory & AI | KQL-based rules |
Latency | Sub-second | Minutes (via Log Analytics) |
Vendor Lock-in | None | Tied to Azure ecosystem |
Ease of Use | Simple JS-like language | KQL and custom schemas |
Automation | Built-in SOAR-lite, API-ready | Logic Apps / Power Automate |
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