Navigating the AI Frontier: The Role of the CISO in GenAI Governance
summary
Claims that CISOs must lead an AI governance program with a working committee, a use-case intake process, and observability into who uses which models (vendor tool reported using 60 LLMs; GitHub/Hugging Face searches show tens of thousands of models). Concrete controls: DLP/CASB monitoring, GPU budgeting (token costs vary $5–$120 per million), NIST AI RMF guidance, and model QA to catch hallucinations, data poisoning and bias drift. Third‑party SaaS LLM ingestion is the current biggest enterprise attack surface.
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chapters (8)
- 0:00AI governance and CISO roles
- 7:32AI governance framework
- 11:50Principles and policies for GenAI
- 17:22Cross-functional AI governance
- 26:21Security in GenAI risk management
- 32:07GenAI risks and attack surface
- 36:24LLM supply chain risks
- 42:05Conclusion and next steps
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