Prediction Guard on Practical AI: Machine Learning, Data Science
Reconstructing how OpenAI agents attacked Hugging Face
Transcript
This hack of Hugging Face has revealed just how complicated and multifaceted security for agentic AI is becoming. You have to think about least privilege and limiting blast radius for agents that have code execution privileges through to ensuring that you have sovereign control over your guard railing and governance enforcement so that you can utilize models the way you need to use them, all the way to automated remediation and enforcement of policies across your fleet of agents. There's so many things to think about. That's why I'm thrilled to be leading a company, Prediction Guard, that has released a self-hosted AI control plane that's already being used across industry for this purpose. You can have that sovereign control over your governance and the way that you set up your policies. You can ensure that your agents operate with code execution and sandboxes. You can make sure that you have observability into agent behavior and respond accordingly. I really encourage you to check out what we're doing at predictionguard.com slash practical AI. Book a time with my team and I to talk through how you can institute this sort of agentic transformation without losing control. That's predictionguard.com slash practical AI predictionguard.com slash practical AI.
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