Cybersecurity During Dark Times
summary
Banks show a live DeepFake demo built from a single photo that can generate realtime audio/video to socially engineer a senior accountant into a €2M transfer, and a simple detection trick—ask the caller to rotate their head to spot rendering glitches. Analysis cites 16,000 instances of outdated Log4j v1–2 in one audit and a 2021 data cutoff for large language models, then describes mitigations: call-back verification, official-channel checks, patching plus correlating CMDB, security and app-team data.
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chapters (16)
- 0:00Cybersecurity in dark times
- 1:06Our mission
- 3:16Fraud and emotional impact
- 4:43New tech reshaping fraud
- 5:25Deep fakes and risks
- 7:35Deep fake scam scenario
- 10:47Detect and prevent deep fake scams
- 12:13ChatGPT in fraud tactics
- 16:32Enterprise cyber threats
- 17:13Meltdown and Spectre explained
- 18:39Data breach recovery
- 20:04Prioritizing vulnerability fixes
- 21:49Balancing continuity and security
- 22:31Collective fraud prevention
- 23:55Key takeaways
- 26:43Q&A
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