AI in Cybersecurity — Cybersecurity Mind Map
8. AI in Cybersecurity
AI is transforming both attack and defence in cybersecurity. This mind map explores ML-powered threat detection, automated response, and AI-enabled attack vectors.
Topics Covered
- ML-based anomaly detection and threat hunting
- AI-powered SIEM and SOC automation
- Adversarial machine learning and model poisoning
- Deepfake threats: voice cloning, video forgery, identity fraud
- LLM security: prompt injection, jailbreaking, data extraction
- AI-generated phishing and spear phishing at scale
- User and Entity Behaviour Analytics (UEBA)
- AI in vulnerability scanning and patch prioritisation