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We intended to prove out that you could use CDR telemetry, so that is the structural telemetry

that you obtain as a result of cleaning files and analyzing files and using that kind of data

to build machine learning models. So we wanted to first prove out that end-to-end process. Some

researchers in the past had proved that it could work to some degree, but there was room

for improvement in the performance there. So effectively the MVP there became, let's first

understand which bits of telemetry, if any, can we use for this process?

If so, how good can we get this?

I'm Dr. Rakebushid.

I am the Applied AI Lead at Glasswall.

This is Code Story.

A podcast bringing you interviews with tech visionaries.

Six months moonlighting. There's nothing on the backhand. Who share what it takes to change in industry. I don't exactly know what to do next. She took many goes to get right. Who built the teams that have their back. The company is its people. The teams help each other achieve more. Most proud of our team. Keeping scalability top of mind. Yes, we've been fighting it as we grow. Total waste of time. The stories you don't read in the headlines. It's not an easy thing to achieve, my view. Took off the shelf and dusted it off and tried it again. To ride the ups and downs of the startup life. You need to really want it.

It's not just about technology.

All this and more on Code Story.

I'm your host, Noah Labhart,

and today how Dr. Akib Rashid is helping you stop malware in its tracks,

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