The Intersection of AI and Cybersecurity
summary
Argues that attackers already use GenAI — nation-states and attack‑as‑a‑service operators automate, scale and target phishing and deepfakes — and warns about prompt injection, model poisoning and adversarial attacks. Recommends concrete defenses: OWASP‑style LLM top‑10, URL filtering and app control, red‑teaming ML pipelines, data‑governance for large lakes, and sandboxing. Gives a working example: SOC alerts feed an AI‑enabled workflow (Platform DXC) that automatically opens tickets and drives remediation, yielding measurable productivity gains. Explainability and ongoing model testing
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chapters (10)
- 0:00Introduction to AI
- 3:10AI terminology and prompting
- 4:26Implementing AI in life and business
- 7:50AI in cyber security
- 12:34Securing your AI usage
- 19:51Insights and predictions
- 22:00Future horizons in AI
- 26:59Philosophical and practical concerns
- 30:00Summary and conclusions
- 32:13Panel discussion on AI
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