AI-Powered SOC Analyst
Practical Bootcamp
Defend smarter, respond faster
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$99 $25
Modern SOC analysts need more than cybersecurity fundamentals. They must understand security logs, investigate alerts, identify suspicious activity, and support incident response. This bootcamp builds these essential skills, progressing from cybersecurity and networking fundamentals to SIEM, alert triage, incident response, and SOC operations.
Through practical demonstrations using Wireshark and Splunk, participants will explore network traffic and security log analysis. The program also introduces AI-assisted SOC workflows, including log summarization, threat analysis, and incident reporting, helping learners build a strong foundation for entry-level SOC roles.
What sets this training apart:
- SOC-Focused Learning - Progress from cybersecurity fundamentals to real SOC monitoring and investigation workflows.
- SIEM & Log Analysis - Explore Splunk, Wazuh, log correlation, and security alert analysis.
- Practical Tool Demonstrations - Observe network traffic analysis, SQL injection behavior, and Splunk log searches.
- Alert Triage & Incident Response - Understand investigation priorities, escalation, documentation, and incident response phases.
- AI-Assisted SOC Workflows - Explore AI-supported log summarization, phishing analysis, investigation queries, and incident reporting.
- SOC Career Readiness - Build essential skills for entry-level SOC roles and earn 12 CPE Credits.
Sanyam
10+ Years of Experience
AI Security L1/L2 | CCISO | CSSLP | CISM | ECIH | eCTHP | eCIR | CHFI | CYSA+ | CTIA | CSA | Pentest+
Sanyam brings over a decade of expertise in cyber defense, web application security, and threat hunting. Known for his hands-on teaching and operational depth, he has mentored numerous professionals to transition into active SOC and DFIR roles.
His specializations include:
- Web App Security & Advanced Penetration Testing (Metasploit, Burp Suite, Nessus, Nmap)
- Threat Intelligence & Incident Response aligned with the Cyber Kill Chain
- Digital Forensics & Memory Analysis using Volatility and OSINT-based investigations
- SIEM and Endpoint Detection tools for monitoring and response
- Secure SDLC, DevSecOps implementation, and automation with Python & Shell scripting
- Cloud Security across AWS, GCP, and OVH platforms
Sanyam’s sessions are highly practical and interactive, combining demos, challenges, and real investigation workflows drawn from real-world SOC environments.
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Module 1: Cybersecurity and Information Security Foundations
- Introduction to information security and cybersecurity
- Purpose and scope
- Key differences
- Information assets and business value
- CIA triad
- Confidentiality
- Integrity
- Availability
- Fundamental security terminology
- Threats
- Vulnerabilities
- Risks
- Security controls
- Types of security controls
- Preventive
- Detective
- Corrective
- Essential security practices
- Access control
- Multifactor authentication
- Patching
- Encryption
- Backups and recovery
Module 2: Networking and System Fundamentals
- Understanding the IT environment
- Endpoints
- Servers
- Applications
- User accounts
- Networking essentials
- IP addresses
- Ports
- Protocols
- Client-server communication
- Common network activity
- DNS
- HTTP
- HTTPS
- Authentication
- Security monitoring foundations
- Firewalls
- Endpoint protection
- Normal and suspicious activity
- Wireshark demonstration
- Exploring a prepared packet capture
- Identifying communicating systems
- Reviewing HTTP traffic
Module 3: Understanding the Modern Threat Landscape
- Social engineering threats
- Phishing
- Targeted impersonation
- AI-generated deceptive messages
- Credential attacks
- Brute force
- Password spraying
- Stolen credentials
- Malware and ransomware
- Common behaviours
- Warning signs
- Business impact
- Application and information threats
- SQL injection
- Insider threats
- Accidental information exposure
- Threat intelligence fundamentals
- Purpose of threat intelligence
- Indicators of Compromise
- Context and limitations of indicators
- SQL injection demonstration
- Attack behaviour in an application
- Suspicious web requests
- Evidence relevant to security monitoring
Module 4: Introduction to SOC Operations
- Understanding a Security Operations Center
- Purpose and business value
- Core functions
- Typical analyst activities
- SOC analyst roles
- L1 responsibilities
- L2 responsibilities
- L3 responsibilities
- Understanding security activity
- Events
- Alerts
- Incidents
- SOC workflow
- Monitoring
- Triage
- Investigation
- Escalation
- Documentation
- Core SOC technologies
- SIEM
- Endpoint security
- Threat intelligence
- Common operational challenges
- Alert fatigue
- False positives
- Incomplete evidence
Module 5: Security Logs and SIEM Fundamentals
- Introduction to security logs
- Windows and Linux logs
- Authentication logs
- Firewall logs
- Web server logs
- Endpoint logs
- Understanding essential log information
- Timestamps
- Users and systems
- Source and destination
- Actions and results
- SIEM fundamentals
- Log collection and centralisation
- Event correlation
- Dashboards
- Alert generation
- Introduction to SOC tools
- Splunk overview
- Wazuh overview
- Understanding alerts
- True positives
- False positives
- Expected activity
- Severity and investigation priority
- Splunk demonstration
- Navigating the interface
- Searching sample logs
- Applying time filters
- Identifying repeated failed logins
Module 6: Alert Triage and Incident Response Essentials
- Initial alert assessment
- Affected users and assets
- Supporting evidence
- Business impact
- Investigation priority
- Alert-handling decisions
- Further investigation
- Escalation
- Closure
- Incident response phases
- Preparation
- Detection and analysis
- Containment
- Eradication
- Recovery
- Lessons learned
- Introduction to MITRE ATT&CK
- Purpose of the framework
- Understanding attacker behaviour
- Investigation documentation
- Confirmed findings
- Uncertainties and evidence gaps
- Escalation handoffs
Module 7: AI in Modern Security Operations
- AI foundations for SOC analysts
- Artificial intelligence
- Machine learning
- Generative AI
- Large language models
- Understanding AI capabilities
- Pattern and anomaly detection
- Information summarisation
- Content generation
- AI applications in SOC
- Log summarisation
- Alert triage support
- Phishing analysis assistance
- Threat-intelligence summaries
- Investigation query assistance
- Incident-report drafting
- Introduction to AI assistants
- ChatGPT
- Claude
- Effective prompting fundamentals
- Clear tasks
- Relevant context
- Supporting evidence
- Expected output
- AI limitations and security risks
- Hallucinations
- Bias
- Data privacy
- Prompt injection
- Over-reliance
- Responsible AI usage
- Evidence verification
- Human oversight
- Analyst accountability
- SOC learning progression
- Essential analyst skills
- Progression towards AI-powered SOC investigations
*Note: Participants will have access to session recordings for a period of 60 days.
Khaled Madany
Saudi ArabiaThe instructor explained everything in a clear and easy-to-understand way throughout the SOC Analyst Fast-Track Bootcamp. It made the learning experience smooth and helpful.
Pratap Jantua
NigeriaI liked the SOC Analyst Fast-Track Bootcamp and found the session useful. The experience was good enough for me to continue learning with InfosecTrain and enroll in further cybersecurity courses and bootcamps.
Paramjeet Singh
IndiaIt was an excellent learning experience through the SOC Analyst Fast-Track Bootcamp.
Yaseen Ali Khan
IndiaThank you, InfosecTrain, for organizing the SOC Analyst Fast-Track Bootcamp. The instructor’s guidance made the learning experience valuable and worthwhile.
Nitun Dash
IndiaExcellent quality of training throughout the SOC Analyst Fast-Track Bootcamp. The sessions were well-delivered and made the learning experience truly worthwhile.
Jino Thomas
IndiaThe classes were good and informative throughout the SOC Analyst Fast-Track Bootcamp. It was a useful learning experience.
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