AI in Cybersecurity

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

ENROLL NOW