
Learn to implement and administer Azure Sentinel, a cloud-native SIEM and SOAR, with data ingestion, analytics, threat intelligence, playbooks, and automated incident response.
Explore why Azure Sentinel enables cloud-based SIEM and SOAR, detailing data ingestion, alert management, threat analytics with artificial intelligence, and automated incident response for security operations.
Learn how to add Azure Sentinel to a Log Analytics workspace, onboard data from endpoints and networks, and use rules, incidents, and orchestration for automated detection and response.
Explore how the Kusto query language (KQL) structures data with schema, tables, and columns to enable readable, query-based analysis in Azure Sentinel's SIEM and SOAR environments.
Learn to set up the checkpoint data connector to ingest logs into a central Sentinel workspace, covering architecture, log flow, port checks, and deleting seven days old logs.
Integrate Trend Micro antivirus with Azure Sentinel by deploying Trend Micro agents on endpoints, forwarding logs to a central Deep Security Manager, and using connectors to feed dashboards and alerts.
Practice integrating Trend Micro Antivirus with Azure Function in a Sentinel environment, saving and naming the function, managing logs, and enabling security workflows for SIEM and SOAR.
Discover Azure Sentinel SOAR capabilities for security orchestration, automation, and response using playbooks and logic apps to automate incident response and data migration.
Ingest Imperva WAF, DAM, and FAM logs into Azure Sentinel to provide unified visibility across on-prem and cloud environments, with agent-based deployment and policy-driven monitoring.
Learn how to archive logs in Azure Sentinel’s Log Analytics workspace, including in-workspace archival and resurfacing for queries, while balancing interactive retention and costs.
Explore the Azure Sentinel sample application: view incidents and events, apply time filters, monitor a world map of requests, and leverage playbooks and connectors for automated incident response.
THIS LECTURE I AM INCLUDING REAL WORLD INTERVIEW QUESTION THAT MAY BE ASKED IN YOUR AZURE SENTINEL JOURNEY AHEAD.PLEASE READ THOROUGHLY AND EMPHASIZE YOUR SENTINEL KNOWLEDGE THERE INCLUDED LINKS AS WELL TO UNDERSTAND IN DETAILS
Explore how logic apps automate Sentinel incident response in Azure by triggering playbooks, routing alerts to Teams or email, and orchestrating actions to block threats.
Learn how Informatica ingests logs into Microsoft Sentinel using the ETL data integration approach. Explore starting a free Informatica cloud trial and configuring API keys to export logs.
Learn how to integrate Atlassian Jira logs with Azure Sentinel using an API token, data connectors, and step-by-step guidance on tokens, workspace details, and troubleshooting.
Onboard Azure Sentinel end-to-end using content hub data connectors, analytics rules, and playbooks to ingest Windows security events via AMA and DCR, enabling threat hunting and automated response with VMSS.
Cloud based SIEM like Sentinel is the answer to the problems which are faced by mainstream SIEM tools with:
1. Efficient Automation by logic apps and playbooks.
2.Co-relation powered by Machine Learning Algorithms like Fusion.
3.Scalable with inbuilt Data Connectors and ability to design SaaS solution is always scalable.
4.Focused in noise reduction and focusing or reaching and remediation to those which can result in increase/breach of attack surface.
5.Built In the cloud .
6.Scope grows everyday hence integration of threat intel to handle them.