Why AI security startups are getting acquired instead of going public

see that argument, but I just think it applies to different levels based on what that primitive is.

18:00 / 18:36

see that argument, but I just think it applies to different levels based on what that primitive is. Like, for example, in in AI security, we've seen there's been a few recent transactions. Palo Alto Networks acquired a company recently called ProtectAI, and and you would have seen Lakera was acquired by by Checkpoint. And I think that speaks to the fact that maybe, each primitive won't support a large stand alone company. And like in vector databases, actually, a lot of these primitives can be bundled into an incumbent offering.

About this clip

Akash Bajwa explains why certain AI primitives like security tools and vector databases aren't building standalone billion-dollar companies, but instead getting bundled into larger incumbent platforms. He points to recent acquisitions like Palo Alto's ProtectAI purchase and Checkpoint's Lakera deal as evidence that these specialized tools work better as features than standalone products.

Why this clip

Provides concrete examples and a clear thesis about why certain AI categories are consolidating rather than creating independent unicorns.

18:00 - 18:3635smarket insight

Share

LinkedInX

What they said next

AI models are finally mature enough to create entirely new user experiences

21:29 - 39s · market insight

More from this episode

Similar clips from other shows

From the blog

Want clips like this for your podcast?

We find your top 5-8 clips, write the hooks, and deliver ready-to-post content. First 2 episodes are free.

Get 2 Episodes Clipped Free