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AI in Cybersecurity

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Description

This AI in Cybersecurity training course teaches you how artificial intelligence is transforming both attack and defense in modern cybersecurity. You will learn to use AI for threat detection, intrusion prevention, phishing defense, vulnerability management, and incident response. The course also covers emerging adversarial AI threats, prompt injection, deepfake detection, and how to defend AI systems themselves. By the end, you will be ready for roles in AI-augmented security operations.

Course Content

Module 1: The AI-Cybersecurity Landscape

  • The evolving threat landscape
  • How AI is changing both attack and defense
  • Key AI techniques in cybersecurity

Module 2: AI for Threat Detection

  • Anomaly detection in network traffic
  • Machine learning for malware classification
  • Behavioral analysis and user activity monitoring
  • Tools: Darktrace, CrowdStrike Falcon, SentinelOne

Module 3: Intrusion Detection and Prevention

  • AI-powered IDS/IPS systems
  • Real-time threat hunting with machine learning
  • Reducing false positives with smarter models
  • SOC automation and SOAR platforms

Module 4: Phishing and Social Engineering Defense

  • NLP for phishing email detection
  • Deepfake detection in voice and video
  • AI-based URL and domain reputation analysis
  • Training users with AI-powered simulations

Module 5: Vulnerability Management

  • AI-driven vulnerability scanning and prioritization
  • Automated code review for security flaws
  • Predictive patching and risk scoring
  • Bug bounty and red-team augmentation with AI

Module 6: Incident Response Automation

  • AI-assisted alert triage and investigation
  • Automated containment and remediation
  • Forensics and root-cause analysis with AI
  • Building playbooks for AI-augmented response

Module 7: Adversarial AI and New Threats

  • AI-powered attacks: deepfakes, automated exploits, AI-generated malware
  • Prompt injection and LLM-specific vulnerabilities
  • Adversarial machine learning: poisoning and evasion
  • Defending AI systems themselves

Module 8: Governance, Ethics, and the Future

  • Regulatory frameworks: NIST AI RMF, EU AI Act, NDPR
  • Privacy-preserving security analytics
  • The arms race between AI attackers and defenders
  • Career paths in AI cybersecurity

Duration: 6 – 8 weeks

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