Curso AI-Assisted Incident Response

  • Redes & Infraestrutura de TI

Curso AI-Assisted Incident Response

24h
Visão Geral

Este curso apresenta aplicações de IA para apoiar processos de Incident Response, desde triagem e análise de evidências até reconstrução de ataques, documentação e apoio à tomada de decisão.

Objetivo

Após realizar este curso, você será capaz de:

  • Utilizar IA em Incident Response
  • Acelerar investigação de incidentes
  • Organizar evidências
  • Apoiar decisões de contenção e recuperação
Publico Alvo
  • Incident Responders
  • SOC Analysts
  • DFIR Professionals
  • Blue Team
Pre-Requisitos
  • Conhecimentos de incident response
  • Familiaridade com SIEM
  • Conhecimentos de logs
  • Noções de Digital Forensics
  • Conhecimentos básicos de IA Generativa
Conteúdo Programatico

Module 1: AI-Assisted Incident Response

  1. AI in incident response
  2. Incident response lifecycle
  3. AI-assisted triage
  4. Investigation assistance
  5. Evidence analysis
  6. Human-in-the-loop
  7. AI limitations
  8. Response governance
  9. Secure AI usage
  10. AI-assisted response methodology

Module 2: AI-Assisted Incident Triage

  1. Alert analysis
  2. Incident classification
  3. Severity assessment
  4. IOC extraction
  5. Context enrichment
  6. Event correlation
  7. Incident summarization
  8. Investigation prioritization
  9. Escalation recommendations
  10. AI-assisted triage

Module 3: AI-Assisted Investigation

  1. Log analysis
  2. Endpoint evidence
  3. Network evidence
  4. Identity evidence
  5. Timeline construction
  6. Attack chain reconstruction
  7. IOC correlation
  8. TTP identification
  9. Investigation summaries
  10. Evidence validation

Module 4: AI-Assisted Threat Analysis

  1. Threat intelligence
  2. Threat actor analysis
  3. Malware analysis assistance
  4. TTP analysis
  5. MITRE ATT&CK
  6. Attack path analysis
  7. Behavioral analysis
  8. Campaign correlation
  9. Threat assessment
  10. Intelligence reporting

Module 5: AI-Assisted Response

  1. Containment planning
  2. Account containment
  3. Endpoint isolation
  4. Network containment
  5. Credential remediation
  6. Eradication planning
  7. Recovery planning
  8. Response validation
  9. Decision support
  10. Human approval

Module 6: Practical AI-Assisted Incident Response

  1. Incident triage
  2. Evidence organization
  3. AI-assisted investigation
  4. Timeline reconstruction
  5. Attack chain analysis
  6. Containment planning
  7. Recovery planning
  8. Incident documentation
  9. Executive reporting
  10. AI-assisted incident response case study
TENHO INTERESSE

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