Cherry Bekaert: Risk & Cybersecurity · Cherry Bekaert
Key Governance Risks in AI Deployments
·31 min·2 clips
Steve Ursillo explains how embedding risk management into an internal LLM's design prevents adversarial attacks and data leakage.
As heard by us
A practical look at the controls that matter when AI is run in-house rather than by a vendor.
The discussion treats AI governance as an operating problem, not a slogan. It gets concrete by laying out the parts that have to work together: the model itself, the training and inference stack, the governance structure, the oversight committee, and the controls auditors can…
Why you'd press play
If you need a grounded take on internal LLM governance versus vendor AI, start here.
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