Discover emerging threats in cloud security
summary
MadPot deploys a global fleet of decoy sensors that emulate hundreds of services and feeds over 100 million daily interactions into analytics and ML, enabling automated network perimeter blocks, signature pushes to WAF and GuardDuty, and takedowns of botnet C2 infrastructure. A/B testing with protected and unprotected honeypot fleets quantifies impact — the system records a 96% reduction in VPN brute‑force attempts and uses continual classification maps to surface novel exploits for rapid mitigation, not just logging. MadPot honeypots drive low‑latency, automated protections.
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chapters (11)
- 0:00Introduction to cloud security
- 2:16Active cloud defense mission
- 3:07Threat research and Mad Pot
- 5:39Defining Mad Pot honeypots
- 7:28Extracting threat intelligence
- 10:00Disrupting botnet infrastructure
- 12:46Case study: VPN brute forcing
- 16:31Measuring security effectiveness
- 21:28AI in threat discovery
- 25:43Leveraging intelligence in AWS
- 28:28Shared responsibility conclusion
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