meta_pixel
Tapesearch Logo
Log in
Equity

The multibillion-dollar AI security problem enterprises can't ignore

Equity

TechCrunch

News, Business, Entrepreneurship, Business News, Technology

4.2372 Ratings

🗓️ 14 January 2026

⏱️ 30 minutes

🧾️ Download transcript

Summary

AI agents are supposed to make work easier. Instead, they're creating a whole new category of security nightmares.    As companies deploy AI-powered chatbots, agents, and copilots across their operations, they're facing a new risk: how do you let employees and AI agents use powerful AI tools without accidentally leaking sensitive data, violating compliance rules, or opening the door to prompt-based injections? Witness AI just raised $58 million to find a solution, building what they call "the confidence layer for enterprise AI."    Today on TechCrunch’s Equity podcast, Rebecca Bellan was joined by Barmak Meftah, co-founder and partner at Ballistic Ventures, and Rick Caccia, CEO of Witness AI, to discuss what enterprises are actually worried about, why AI security become an $800 billion to $1.2 trillion market by 2031, and what happens when AI agents start talking to other AI agents without human oversight.    Listen to the full episode to hear:   How enterprises accidentally leak sensitive data through "shadow AI" usage.  What CISOs are actually worried about right now, how the problem has evolved rapidly over 18 months, and what it will look like over the next year.  Why traditional cybersecurity approaches don't work for AI agents.  Real examples of AI agents going rogue, including one that threatened to blackmail an employee.  Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

Click on a timestamp to play from that location

0:00.0

Ready to ship AI that works, start building at MongoDB.com slash build.

0:05.6

Hello and welcome back to Equity, TechCrunch's flagship podcast about the business of startups.

0:10.3

I'm Rebecca Bilan, and this is the episode where we bring on industry experts to help us explore a trend in the tech world and dive deep.

0:27.9

Joining me are Rick Kacia, CEO of Witness AI, building what they call the confidence layer of Enterprise AI.

0:38.3

And Barmak Mefta, former president of AT&T cybersecurity and current partner and co-founder at Ballistic Ventures, the Cybersecurity Focus VC that incubated Witness AI.

0:40.7

Rick Barmec, welcome to the show.

0:42.0

Thanks for having you.

0:42.6

Great to be here.

0:48.0

Really excited to have you both here because, you know, with generative AI, it seems like AI security is just becoming, there's just so many layers to this onion of how many ways we have expanded the attack surface for cybersecurity.

0:58.9

And, you know, Witness AI was recently named on the 2025 Fortune CyberSixie.

1:04.1

You're building the guardrails for generative AI models.

1:07.2

What does that mean exactly?

1:09.6

Yeah, that's a good question. Let me just tell you how our

1:12.5

customers have sort of gone through the layers. So the first layer for our customers, go back a

1:17.1

couple of years. Think about after ChatGPT hit the scene in November, 2022. Every corporate employee

1:23.3

that I know went and started playing with this thing and a lot of companies had situations where

1:27.7

people shared things they shouldn't have shared customer data marketing plans financial data so the

1:33.7

first layer was how do we make sure our employees are using somebody else's AI in the form of some

1:39.3

chat bot chat GPT Gemini so forth safely. Layer one, protect my data.

1:46.3

Then people started thinking, well, gosh, these AI bots are actually starting to tell my employees things,

1:52.0

and they might be guiding them to do something harmful or criminal, so another layer is protect what comes back.

1:58.0

Then, last year, we started seeing customers build their own models, stand

...

Please login to see the full transcript.

Disclaimer: The podcast and artwork embedded on this page are from TechCrunch, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of TechCrunch and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.

Copyright © Tapesearch 2026.