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KQL Numeric and Comparison Operators KQL provides a standard set of arithmetic and comparison operators used for calculations and filtering: Arithmetic Operators (return numeric values) + Addition - Subtraction * Multiplication / Division % Modulo (remainder) These are commonly used for: Rate calculations (e.g., bytes/sec) Data normalization Threshold comparisons Comparison & Membership Operators (return boolean values) > Greater than < Less than >= Greater tha

KQL Essentials: Variables with let and Arrays with dynamic Kusto Query Language (KQL) supports variables using the let statement, which allows you to store values, expressions, or entire subqueries for reuse within a query. This enhances readability, reduces duplication, and improves maintainability of complex queries. Using let to Create Variables The let statement follows this basic format: let VariableName = ExpressionOrValue; Key Components of let statement: let – Keyword

Project Project lets you change values on output. Other options with project are 'project-away', 'project-keep', 'project-rename' (allows you to map an original field to its normalized name. this operator ensures that the field is still managed as a physical field and that handling the field is more performant)., 'project-reorder'. | project FreeGB=CounterValue / 1024 Other project ideas: | project <NewColumnName1> = <ExistingColumnName1>, <NewColumnName2> = <ExistingColumn

Summarize and Count Simple Sorts: | sort by fieldname asc //or | sort by fieldname desc Simple Summarize: | summarize by fieldname desc Adding summarize and then counting" | summarize count () by fieldname Different example: | summarize count() by columname1, columnname2 | sort by count_ Other option for summarize and count and then filtering the output to only counts over certain limits. | summarize EventCount = count() by fieldname | where EventCount > 1000 To see the 1st v

Diving into Scalars & String Predicates in KQL Now that we’ve covered how to view table schemas, perform basic searches, and filter logs by time, it’s time to go deeper into scalar operations and string matching in Kusto Query Language (KQL), key building blocks for powerful filtering. Types of KQL Statements Tabular Expressions – Return result sets (e.g., rows/columns from tables). Scalar Expressions – Return single values used in filters, projections, calculations. What Are

Working with Time in KQL Handling time effectively in Kusto Query Language (KQL) is essential for accurate analysis, efficient data management, and optimized query performance, especially when working in environments like Microsoft Sentinel or Microsoft Defender. Time Filtering Options Most logging platforms, including Microsoft Sentinel, provide a GUI-based datetime picker to filter logs within a specific timeframe. However, you can override the GUI time filter by specifying

Understanding KQL in the Microsoft Data Ecosystem In Microsoft's data ecosystem, KQL stands for Kusto Query Language. The name "Kusto" is a playful nod to Jacques Cousteau, the renowned deep-sea explorer. Just as Cousteau explored the depths of the oceans, KQL enables users to explore the depths of their data with power and precision. It’s worth noting that KQL is sometimes confused with another similarly named language: Kibana Query Language, used for querying data in Elasti

Rolling Aerts into Incidents - XDR A key strength of Microsoft Defender is its ability to correlate disparate alerts from various detection sources into a single, cohesive incident view. This approach enables defenders to understand an attack or compromise holistically rather than managing fragmented alerts. Microsoft Defender XDR extends this capability by continuing to unify and correlate alerts from multiple security domains, identity, endpoint, email, and cloud applicatio

Microsoft Copilot Overview Microsoft has named its Artificial intelligence (AI) product Copilot. Microsoft currently offers the following AI products. Microsoft Security Copilot is the AI product that is covered in the SC-200 exam. Copilot for Microsoft 365 : This version is designed for businesses and integrates AI into Microsoft 365 apps like Word, Excel, PowerPoint, Outlook, and OneNote. Copilot for Sales : This version helps sales teams maximize effectiveness and close

Microsoft Purview is a unified data protection and governance platform that combines legacy Microsoft security tools with new, advanced capabilities to help organizations safeguard their data. It provides a broad range of solutions, enabling multiple teams within an organization to collaborate effectively in achieving data protection, governance, and compliance. Why Microsoft Purview Stands Out Extensive Coverage – It integrates Data Governance, Data Loss Prevention (DLP), In

Microsoft Defender for Cloud Apps (MDA) Microsoft Defender for Cloud Apps (MDA) primarily focuses on discovering and assessing the applications used within your environment. It includes a risk rating system that evaluates app risk levels, enabling you to establish policies that restrict or allow the use of specific applications. MDA also monitors for suspicious app behavior. For instance, consider an app like AZCopy, a Linux-based tool for transferring data from Azure. If an

Microsoft Defender for Office365 (MDO) Think of MDO as your email security gateway, constantly scanning emails to defend against phishing, malware, and spoofing attempts. Here's how it works: Analyzing Email Sources : Evaluates the origin of emails, checking against databases of known malicious senders and infrastructure. Verifying Sender Authenticity : Confirms whether the sender's identity, brand, and domain are legitimate. For external domains, spoof intelligence ensure

Microsoft Defender for Identity (MDI) Identity Protection: Understanding and Addressing Identity-Based Threats Identity protection focuses on identifying and mitigating weaknesses and threats related to identity systems. The adage "Identity is the new perimeter" may be overused, but it accurately highlights the reality of modern cybersecurity. Threat actors target identities because they grant access to systems and sensitive information. With the growing shift to cloud-based

Demystifying the Microsoft SC-200 Certification The Microsoft SC-200 certification is designed for cybersecurity analysts and engineers who work with Microsoft's security solutions. According to Microsoft, the SC-200 course teaches professionals how to investigate, respond to, and hunt for threats using Microsoft Sentinel, Microsoft Defender XDR, and Microsoft Defender for Cloud. Microsoft is a dominant player in the cybersecurity industry, offering a broad suite of security

Sentinel Detections and Automations In the previous section, we explored Workspace Manager, Data Connectors, and Settings. This section dives deeper into Sentinel's detection and response capabilities, focusing on: Analytics Watchlists Automation Configuration and settings for these features can also be found under the sentinel Configuration section. Sentinel Analytics (Detection Rules) Analytics rules are the core of Sentinel’s threat detection engine. These rules run querie

Microsoft Sentinel Overview SIEM, or Security Information and Event Management, is a security solution that helps organizations identify and respond to potential security threats by collecting, analyzing, and correlating security events and data from various sources. Sentinel is Microsoft SIEM product. Comparable products to Sentinel include: Splunk Elastic CrowdStrike Falcon scale Google SecOps Cortex XSIAM One of the things that is important for SIEMs to be successful is t

As of now, the SC-200 certification primarily emphasizes Cloud Workload Protection Platform (CWPP) within Microsoft Defender for Cloud.