Tag: Microsoft Sentinel

AI-Powered Query Optimization in Uncoder AI
AI-Powered Query Optimization in Uncoder AI

How It Works Long and complex detection queries — especially those involving multiple joins, enrichments, and field lookups — often become performance bottlenecks. This is particularly true for queries in Microsoft Sentinel, where misaligned joins or poor field usage can significantly delay results. To address this, SOC Prime’s Uncoder AI introduces AI-driven Query Optimization. The […]

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Rule Deployment into a Data Plane
Rule Deployment into a Data Plane

How It Works Uncoder AI supports native integration with Microsoft Sentinel, Google SecOps, and Elastic Stack, enabling users to deploy detection rules directly from the platform. Once a rule is authored or translated within Uncoder AI, the user can instantly push it into their SIEM’s data plane without exporting files or manual upload. In the […]

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Translate from Sigma into 48 Languages
Translate from Sigma into 48 Languages

How It Works Uncoder AI makes it easy to translate Sigma rules into detection formats used by 48 different platforms. Users simply select the desired output language—like Splunk, Sentinel, or CrowdStrike Falcon—and Uncoder AI instantly generates a syntactically valid detection in the chosen format. The translation happens entirely within SOC Prime’s infrastructure, ensuring privacy and […]

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From IOCs to Queries: How Uncoder AI Automates Threat Intelligence Action
From IOCs to Queries: How Uncoder AI Automates Threat Intelligence Action

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 […]

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From Threat Report to Detection Logic: Uncoder AI Automates Rule Generation
From Threat Report to Detection Logic: Uncoder AI Automates Rule Generation

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 […]

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How Full Summary in Uncoder AI Supercharges Kusto Query Analysis for Threat Hunters
How Full Summary in Uncoder AI Supercharges Kusto Query Analysis for Threat Hunters

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 […]

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