Cybersecurity in the Era of AI and Quantum Computing
summary
AI already runs automated threat detection and realtime anomaly blocking (MFA triggers, account lockdowns), while adversaries use AI for localized phishing and deepfakes—measured as a 900% increase in deepfakes 2019–2023 and a $25M CFO impersonation. Quantum milestones include Google’s Willow 105‑qubit chip with 5× coherence improvement and RCS benchmarks under five minutes versus astronomical classical estimates. Practical counters: NIST post‑quantum standards, QKD gear (tens of thousands EUR), homomorphic encryption, SMPC, and urgent cryptographic agility and zero‑trust adoption.
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chapters (13)
- 0:00Cybersecurity AI and quantum intro
- 2:40Cybersecurity challenges and needs
- 4:26AI impact on cybersecurity
- 8:38AI threats and attacks
- 10:46Deep fakes and synthetic media risks
- 13:20Detecting AI fake content
- 17:52AI tools in cybercrime
- 20:01Quantum computing basics
- 31:19Quantum mechanics and cubits
- 44:38Quantum computing breakthroughs
- 51:51Post-quantum cryptography threats
- 57:38Privacy-enhancing technologies
- 1:00:52Future cybersecurity roadmap
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