Tag: Kusto

How It Works In fast-paced detection engineering, syntax mistakes and structural oversights happen — especially when working across multiple platforms or under tight response deadlines. Catching and fixing these issues manually is tedious, time-consuming, and often overlooked. With Uncoder AI’s Syntax and Structure Validation, detection authors can now validate their rules — both syntactically and […]

How It Works Threat reports often contain valuable Indicators of Compromise (IOCs) — hashes, IP addresses, domain names — that security teams need to operationalize quickly. But manually copying and converting them into queries for platforms like Microsoft Sentinel is slow, error-prone, and distracting from real response. Uncoder AI eliminates this bottleneck by automatically extracting […]

How It Works Turning threat reports into detection logic is often the most time-intensive part of the detection engineering lifecycle. Reports are written for humans, not machines — and transforming narrative threat intelligence into actionable rules can take hours of manual interpretation. Uncoder AI solves this with AI-assisted rule generation from reports. By analyzing threat […]

Working with Microsoft Sentinel often means dissecting complex Kusto queries, especially when tracking subtle attacker behavior. These queries can include nested logic, obscure file path checks, and uncommon system events that require deep understanding. That’s exactly where Uncoder AI’s Full Summary feature shines. This AI-powered enhancement automatically translates complex Microsoft Sentinel (Kusto) detection logic into […]