Static versus dynamic ML for securing modern cloud architectures
summary
Darktrace claims dynamic ML that learns your environment across DETECT, RESPOND, PREVENT and upcoming HEAL, supports agent-based and agentless AWS deployments, and triggers actions via AWS Lambda. Research cited shows a 130% rise in social‑engineered attacks since generative AI. A customer case monitors over 5,000 devices, sees reconnaissance start 11 minutes after foothold, and would have been stopped in real time if Darktrace RESPOND had been active.
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chapters (11)
- 0:00Introduction and welcome
- 0:22The evolving nature of cyber risk
- 1:25AI-driven threats and opportunities
- 2:54Darktrace's cyber AI loop
- 4:19Product families working together
- 5:44Darktrace and AWS partnership
- 6:49Cloud-native deployment flexibility
- 7:32Understanding cloud architecture
- 9:17Dynamic machine learning approach
- 10:21Real-world incident response demo
- 11:45Q&A and closing remarks
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