Introduction to Deepwatch and Managed Security Services

• Overview of Deepwatch and its role in managed detection and response (MDR).

• Understanding the modern threat landscape: cyber attacks, breaches, and insider threats.

• Benefits of Deepwatch MDR: continuous monitoring, threat detection, and compliance support.

• Real-world examples of Deepwatch deployment in enterprise environments.

Fundamentals of Cybersecurity Monitoring

• Security Operations Center (SOC) concepts and functions.

• Security monitoring frameworks, KPIs, and alerting mechanisms.

• Lab: Introduction to monitoring dashboards and security event workflows.

Deepwatch Platform Overview

• Architecture and key components of the Deepwatch platform.

• Data ingestion, threat intelligence feeds, and alert prioritization.

• Lab: Navigating the Deepwatch portal and exploring features.

Threat Detection and Analysis

• Understanding threat detection methodologies: signature-based, anomaly-based, and behavior analytics.

• Threat intelligence integration for proactive detection.

• Lab: Analyzing sample alerts, identifying malicious activity, and prioritizing threats.

Security Information and Event Management (SIEM)

• SIEM fundamentals: log collection, correlation, and reporting.

• Integrating Deepwatch with SIEM solutions for enhanced visibility.

• Lab: Configuring event ingestion, dashboards, and correlation rules.

Incident Response and Management

• Incident lifecycle: detection, triage, investigation, containment, and resolution.

• Best practices for handling alerts and mitigating threats.

• Lab: Simulated incident response scenarios using Deepwatch alerts and workflows.

Endpoint Detection and Response (EDR)

• Understanding EDR tools and their integration with Deepwatch.

• Monitoring endpoint activity and detecting suspicious behavior.

• Lab: Configuring EDR sensors and analyzing endpoint threat data.

Network Security Monitoring

• Monitoring network traffic for anomalies, intrusions, and policy violations.

• Deepwatch network monitoring capabilities and alerting.

• Lab: Simulating network events and analyzing suspicious traffic patterns.

Cloud Security Monitoring

• Securing cloud environments (AWS, Azure, GCP) using Deepwatch.

• Detecting misconfigurations, identity issues, and cloud-specific threats.

• Lab: Configuring cloud monitoring policies and reviewing cloud security alerts.

Log Analysis and Reporting

• Techniques for log collection, normalization, and correlation.

• Creating actionable reports for compliance and management.

• Lab: Generating reports and dashboards from log data for threat analysis.

Threat Hunting and Advanced Analytics

• Proactive threat hunting methodologies and hypothesis-driven investigations.

• Leveraging Deepwatch analytics and threat intelligence for advanced detection.

• Lab: Conducting a threat hunting exercise using historical and real-time data.

Compliance and Governance

• Security frameworks and compliance standards: PCI-DSS, HIPAA, SOC2, GDPR.

• Leveraging Deepwatch to maintain compliance and audit readiness.

• Lab: Configuring policies and generating compliance reports.

Integration with Security Ecosystem

• Integrating Deepwatch with SIEM, EDR, firewalls, and other security tools.

• Automation and orchestration for faster response.

• Lab: Setting up integrations and automating alert responses.

Real-World Project Simulation

• Hands-on project simulating end-to-end SOC operations using Deepwatch.

• Tasks include alert triage, incident response, threat hunting, and reporting.

• Trainer-led review and discussion of best practices and operational strategies.

Course Wrap-Up & Career Guidance

• Recap of Deepwatch platform, cybersecurity monitoring principles, and operational best practices.

• Career pathways: Security Analyst, SOC Engineer, Threat Hunter, MDR Specialist.

• Guidance for certifications, advanced learning, and industry opportunities.

• Q&A session with trainers and closing remarks.