AI Foundations: Mitigate Risks and Boost SOC Efficiency
summary
Demoing ChatGPT, Google Gemini, Inoreader and Jupyter notebooks shows concrete limits: LLMs hallucinate, freemium ChatGPT (3.5) cites training only to Jan 2022, a ChatGPT-4 agent returns wrong CVE and Strobes Intel AI corrects it, Google Gemini warns it stores inputs, Inoreader aggregates ~967 feeds into Google Drive for Gemini analysis, network logs show 3:00 AM access and a misspelled domain MD Surgicals, and auditing finds over 100 malicious ML models on Hugging Face; recommended actions are risk assessment, policy, pilots and metrics like MTTD and MTTR.
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chapters (15)
- 0:00Welcome
- 0:42Speaker introductions and disclaimers
- 1:45Agenda
- 2:31SOC analyst day
- 4:59AI implementation problems
- 7:29LLM limitations demo
- 21:18AI tech foundations
- 23:44AI in cybersecurity ops
- 25:53AI risks and challenges
- 29:34AI filtering feeds
- 34:14AI automation in SOCs
- 37:04AI risk assessment
- 41:01Compliance and ethics
- 41:24AI security risks
- 43:32Closing and Q&A
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