Can We Control AI That Controls Itself? Anneka Gupta from Rubrik on…

Is security still about patching after the crash? Or do we need to rethink everything when AI can cause failures on its own?

Anneka Gupta, Chief Product Officer at Rubrik, argues we're now living in the world before the crash – where autonomous systems can create their own failures.

In this episode of Inference, we explore:

Why AI agents are "the human problem on steroids"

The three pillars of AI resilience: visibility, governance, and reversibility

How to log everything an agent does (and why that's harder than it sounds)

The mental shift from deterministic code to outcome-driven experimentation

Why most large enterprises are stuck in AI prototyping (70-90% never reach production)

The tension between letting agents act and keeping them safe

What an "undo button" for AGI would actually look like

How AGI will accelerate the cat-and-mouse game between attackers and defenders

We also discuss why teleportation beats all other sci-fi tech, why Asimov's philosophical approach to robots shaped her thinking, and how the fastest path to AI intuition is just... using it every day.

This is a conversation about designing for uncertainty, building guardrails without paralyzing innovation, and what security means when the system can outsmart its own rules.

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Guest: Anneka Gupta, Chief Product Officer at Rubrik https://www.linkedin.com/in/annekagupta/

https://x.com/annekagupta

https://www.rubrik.com/

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Turing Post is a newsletter about AI's past, present, and future. Ksenia Se explores how intelligent systems are built – and how they're changing how we think, work, and live.

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