After Hugging Face: 3½ Ways Frontier AI Is Making Cloud Recovery Strategies More Critical
About This Webinar
Recently, an AI agent broke out of an isolated environment, escalated its own privileges, and found its way into production infrastructure. It took an attack path no human had thought to model. Security teams caught it and shut it down that time. The next one might move faster.
Hugging Face isn't a one-off. It's a preview. Frontier AI is already changing what runs in your cloud, and most recovery plans still assume incidents unfold at human speed, with a person in the loop to catch them. AI doesn't work that way.
No product tour. Just a real conversation and a few frameworks you can take straight into your next architecture review, tabletop, or board update.
Prevention and controls will fail sometimes. When they do, recovery is what's left. Better to pressure-test it on your own terms than during an incident.
3½ ways frontier AI is raising the stakes on cloud recovery:
- Change outpaces review. AI writes production code in most organizations now. That means more changes than anyone can check, and more bad ones slipping through.
- Failure moves at machine speed. A misconfiguration, corrupted dataset, or compromised credential spreads in minutes, not hours. Recovery speed becomes the whole game.
- The blast radius is bigger and blurrier. Agents and non-human identities sprawl across clouds and SaaS, so damage crosses services instead of sitting in one datastore. The hard part isn't whether the data exists — it's finding a clean state and re-assembling the business service.
- The ½: autonomous agents that modify infrastructure, data, and permissions on their own. Hugging Face proved the capability is real. Most companies aren't running it in production yet, but it's coming fast, and almost no recovery plan accounts for an agent that goes wrong.
Speakers
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Cal Al-Dhubaib Principal Technologist Rubrik
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Matt Castriotta Field CTO, Cloud Rubrik
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