AI-equipped Threat Actors Versus AI-enhanced Cyber Tools: Who Wins?
summary
Claims a defensive path rather than rhetoric: use the public EPSS exploit probability model plus environmental telemetry to rank CVEs, spotting long publish-to-exploit gaps and surfacing a few hundred truly urgent fixes. Reports 3.3 million attacks / 26 per minute, a 70% surge and 2.9 polymorphic samples per minute. Finds malwares touching OpenAI APIs and Hugging Face, and novel malicious documents without scripts. Demonstrates behavior-based models with reinforcement learning and a 98% early detection case in a multistage C2 chain.
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chapters (7)
- 0:00AI in cybersecurity
- 2:07AI threat landscape
- 10:09Predictive cyber defense
- 17:04Prevalence data surge
- 23:27Defense vs AI attacks
- 35:29Key takeaways
- 38:21Q&A
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