ADVANCED
SECURITY
COURSES
As cyber threats continue to evolve in complexity, organizations require professionals who can go beyond basic protection and actively detect, investigate, and respond to advanced attacks. Our Advanced Security Courses are designed around real-world enterprise environments, focusing on threat intelligence, incident response, cloud security, and modern infrastructure protection.
Overview
These programs follow Kaspersky's advanced training approach, combining deep technical understanding with hands-on operational skills.
These courses are best suited for individuals who already understand the basics and want to move into advanced roles in security operations and threat management.
Who It's For
Cybersecurity professionals looking to upskill
SOC analysts and security engineers
Network and system administrators
Cloud and DevOps professionals
Students with prior knowledge in cybersecurity
1. Threat Detection & Response Systems
Kaspersky Anti Targeted Attack Platform (Administration & Investigation)
Module 1: Introduction to Targeted Attacks & APTs
- Understanding Advanced Persistent Threats (APTs)
- Attack lifecycle (Kill Chain model)
- Common attack vectors (phishing, exploits, lateral movement)
- Limitations of traditional security tools
Module 2: KATA Platform Overview & Architecture
- Components of Kaspersky Anti Targeted Attack Platform
- Network Sensor, Sandbox, Endpoint Agent overview
- Integration with Kaspersky Security Center
- Data flow and threat intelligence integration
Module 3: Deployment & Initial Configuration
- System requirements and architecture planning
- Deployment of KATA components
- Network configuration and traffic mirroring (SPAN/TAP)
- Integration with endpoints and mail/web gateways
Module 4: Traffic Analysis & Threat Detection
- Network traffic inspection techniques
- Detection of suspicious activities
- Behavioral analysis and anomaly detection
- Signature-based vs behavior-based detection
Module 5: Sandbox & Advanced Threat Analysis
- Sandbox architecture and workflow
- Dynamic malware analysis
- File detonation and behavior tracking
- Indicators of Compromise (IoCs) extraction
Module 6: Incident Investigation
- Incident creation and classification
- Root cause analysis
- Attack chain visualization
- Threat correlation across network and endpoints
Module 7: Incident Response & Remediation
- Containment strategies
- Blocking malicious activity
- Endpoint isolation
- Recovery and remediation workflows
Module 8: Threat Hunting
- Proactive threat hunting techniques
- Using IoCs for advanced search
- Detecting stealth attacks
- Building custom detection rules
Module 9: Reporting & Monitoring
- Dashboard customization
- Alert management
- Report generation for SOC teams
- Compliance and audit reporting
Module 10: Integration & Automation
- Integration with SIEM tools
- API usage and automation basics
- Security orchestration concepts
- Workflow automation
Kaspersky Unified Monitoring & Analysis Platform (SIEM)
Module 1: Introduction to SIEM & Security Operations
- What is SIEM and why it matters
- Role of SIEM in SOC (Security Operations Center)
- Log management vs event correlation
- Overview of threat detection lifecycle
Module 2: Platform Overview & Architecture
- Kaspersky SIEM components and architecture
- Data flow: collection → normalization → correlation → response
- Storage architecture and scalability
- Deployment models (on-prem / hybrid)
Module 3: Data Collection & Integration
- Log sources (endpoints, servers, firewalls, applications)
- Syslog, agents, API-based integration
- Parsing and normalization of logs
- Integrating with Kaspersky and third-party solutions
Module 4: Event Correlation & Rule Management
- Correlation engine fundamentals
- Creating correlation rules
- Use cases for threat detection
- Reducing false positives
Module 5: Dashboards & Visualization
- Custom dashboard creation
- Real-time monitoring views
- Data visualization for SOC teams
- KPI tracking and reporting
Module 6: Incident Detection & Investigation
- Identifying suspicious activities
- Event triaging and prioritization
- Incident investigation workflows
- Attack timeline reconstruction
Module 7: Threat Intelligence Integration
- Using threat intelligence feeds
- IoC enrichment and correlation
- External intelligence sources
- Context-aware detection
Module 8: Incident Response & Automation
- Alert handling and escalation
- Response workflows
- Automated actions (blocking, notifications)
- Integration with SOAR concepts
Module 9: Compliance & Reporting
- Compliance requirements (ISO, GDPR basics)
- Audit logs and reporting
- Scheduled reports for stakeholders
- Data retention policies
Module 10: Maintenance & Optimization
- Performance tuning
- Storage management
- Backup and disaster recovery
- Troubleshooting SIEM issues
What You'll Learn
Advanced threat detection techniques
Incident investigation and root cause analysis
Threat hunting and attack visualization
SIEM-based monitoring and correlation
Real-time response and remediation
Program Structure
Concept clarity with real-world context
Hands-on labs and simulations
Case-based learning (real attack scenarios)
Tools and platform-based training
Instructor-led sessions with expert guidance
Learning Approach
Designed to combine technical understanding with practical implementation through guided learning experiences.
Practical and scenario-driven training
Focus on real enterprise use cases
Exposure to industry tools and workflows
Interactive sessions with problem-solving exercises
Outcome
Participants will gain practical capabilities required to detect, investigate, and respond to modern cybersecurity threats.
Detect and analyze complex cyber threats
Investigate incidents across systems and networks
Implement advanced security solutions
Work in SOC, cloud security, and incident response roles
Handle real-world cybersecurity challenges confidently