Visão Geral
Este curso apresenta aplicações práticas de Inteligência Artificial em Cybersecurity, explorando análise de dados, automação, detecção de ameaças, investigação e apoio à resposta a incidentes.
Conteúdo Programatico
Module 1: AI for Cybersecurity Fundamentals
- Artificial Intelligence concepts
- Machine Learning fundamentals
- Generative AI
- AI security applications
- Cybersecurity use cases
- AI-assisted security operations
- AI limitations
- AI reliability
- Human oversight
- Responsible AI
Module 2: AI for Threat Detection
- Anomaly detection
- Behavioral analysis
- Classification
- Pattern recognition
- Threat detection
- Malware detection
- Network anomaly detection
- Identity threat detection
- Detection optimization
- AI-assisted detection
Module 3: AI for Security Operations
- Alert analysis
- Alert prioritization
- Log analysis
- Event correlation
- Incident summarization
- Investigation assistance
- Threat intelligence analysis
- Security automation
- SOC workflows
- AI-assisted SOC operations
Module 4: AI for Threat Hunting
- Hunt hypothesis generation
- IOC analysis
- Behavioral hunting
- TTP analysis
- MITRE ATT&CK assistance
- Query generation
- Threat intelligence enrichment
- Hunt prioritization
- Detection development
- AI-assisted Threat Hunting
Module 5: AI for Incident Response
- Incident triage
- Evidence analysis
- Timeline generation
- Attack reconstruction
- Containment recommendations
- Investigation assistance
- Incident summarization
- Response automation
- Human validation
- AI-assisted incident response
Module 6: AI Security Risks
- Model limitations
- Hallucinations
- Data quality
- Data leakage
- Privacy
- Prompt security
- Model manipulation
- Adversarial AI
- AI governance
- Secure AI adoption