Sep 30, 2026 · 1 hr · 13 segments
AI may be the latest technology transformation, but for security teams, the challenges feel familiar. In this episode of *The Segment*, Raghu Nandakumara sits down with Ashish Rajan, CISO of…
Ashish RajanGuest
Raghu NandakumaraHost
So it's funny, I think I've seen generations of different things and themes, uh, for lack of a better word.
How often do we talk about shadow IT today? Right? It's almost like it happens in the background, you identify it, but it is not the thing that people, "Oh, I wanna sol-solve shadow IT." Yeah, unless you're starting a program from scratch, you're not really thinking about it.
So maybe some of the newer AI native companies, they may be coming across that problem today.
But for people who are established, like I end up doing strategic advisory for companies like Fortune 500, Global 2000, who's been running programs for a long time.
I find that shadow AI is definitely something that would just become background noise after a while.
Uh, it will either standardize because we'll have processes for it, and it would just become something that is not top of mind.
That's the, that's at least in the AI space, I think that would definitely become a thing.
The other thing that you would also find, uh, is the conversation around the...
You know how at the moment we don't focus a lot on prompt injection, we don't focus a lot on AI incidents.
So I think the, the yin to my yang is, maybe I've gone into a different direction, but essentially the shadow AI part, part would die away.
What would start getting bigger is conversation for what does an incident look like in AI.
If I am an agent asking on a, quote-unquote, "message board," "Hey, does Raghu work for us as an organization?" Versus, "Can I get Raghu's password?" Two different things.
So it's funny, I think I've seen generations of different things and themes, uh, for lack of a better word.
How often do we talk about shadow IT today? Right? It's almost like it happens in the background, you identify it, but it is not the thing that people, "Oh, I wanna sol-solve shadow IT." Yeah, unless you're starting a program from scratch, you're not really thinking about it.
So maybe some of the newer AI native companies, they may be coming across that problem today.
But for people who are established, like I end up doing strategic advisory for companies like Fortune 500, Global 2000, who's been running programs for a long time.
I find that shadow AI is definitely something that would just become background noise after a while.
Uh, it will either standardize because we'll have processes for it, and it would just become something that is not top of mind.
That's the, that's at least in the AI space, I think that would definitely become a thing.
The other thing that you would also find, uh, is the conversation around the...
You know how at the moment we don't focus a lot on prompt injection, we don't focus a lot on AI incidents.
So I think the, the yin to my yang is, maybe I've gone into a different direction, but essentially the shadow AI part, part would die away.
What would start getting bigger is conversation for what does an incident look like in AI.
If I am an agent asking on a, quote-unquote, "message board," "Hey, does Raghu work for us as an organization?" Versus, "Can I get Raghu's password?" Two different things.
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