José RosasGuest
Konstantinos KaragiannisHostYeah, I mean, they're high throughput slots because that's where you're supposed to put like a RAID controller or something like that, right? To get those servers to handle a lot of throughput.
So what kind of engineering bottlenecks were there? I mean, so we have, do you have some kind of, what kind of like processor and everything is handling the math for MLChem, MLDSA? Like basically that's like a combo question, I guess.

So what happens is like at the end, when you realize that these kind of solutions, the need for a hardware comes from different reasons.

And of course, in a platform, you have a processor that is already dedicated for conventional workloads.

If your operative system gets compromised, chances are that the cryptographic that belongs in that server will be compromised as well.

So in addition to that, the engineering challenges was how we can get a quantum phenomena integrated in conventional silicon.

So you have a normal PCB board and we wanted to have a quantum mechanic phenomena that could live in that PCB board as the anchor of security for the whole value chain.

We're discussing that the only thing that a quantum adversarial will not be able to predict with a deterministic approach, it would be if you have a quantum entropy phenomena.

So the challenge is that how you put a quantum entropy phenomena in a conventional PCB board that is connected to a PCIe card.

The second challenge is How do you use that to leverage and enhance all the cryptography that you have down the road? ML Chem or the other PQC ciphers, how you connect those two to create a unique solution.

That is a quantum entropy mixed with post-quantum cryptography ciphers in a trustless solution that is a plug and play solution.

So then in order to achieve that, then you have many, many challenges to overcome.
So you're not providing just the ability to run lattice based math faster.

And so the conjunction of those two is actually what create the most probable secure quantum persistent approach.

It would be very naive to think that if you are upgrading only your ciphers and you are keeping pseudo randomness as the input of your cryptographic value chain, that the attacker will be very gentle to only use one algorithm to attack your system.

So there is a lot of people that are only concerned about attacks made by source algorithm.
Yeah, I mean, they're high throughput slots because that's where you're supposed to put like a RAID controller or something like that, right? To get those servers to handle a lot of throughput.
So what kind of engineering bottlenecks were there? I mean, so we have, do you have some kind of, what kind of like processor and everything is handling the math for MLChem, MLDSA? Like basically that's like a combo question, I guess.

So what happens is like at the end, when you realize that these kind of solutions, the need for a hardware comes from different reasons.

And of course, in a platform, you have a processor that is already dedicated for conventional workloads.

If your operative system gets compromised, chances are that the cryptographic that belongs in that server will be compromised as well.

So in addition to that, the engineering challenges was how we can get a quantum phenomena integrated in conventional silicon.

So you have a normal PCB board and we wanted to have a quantum mechanic phenomena that could live in that PCB board as the anchor of security for the whole value chain.

We're discussing that the only thing that a quantum adversarial will not be able to predict with a deterministic approach, it would be if you have a quantum entropy phenomena.

So the challenge is that how you put a quantum entropy phenomena in a conventional PCB board that is connected to a PCIe card.

The second challenge is How do you use that to leverage and enhance all the cryptography that you have down the road? ML Chem or the other PQC ciphers, how you connect those two to create a unique solution.

That is a quantum entropy mixed with post-quantum cryptography ciphers in a trustless solution that is a plug and play solution.

So then in order to achieve that, then you have many, many challenges to overcome.
So you're not providing just the ability to run lattice based math faster.

And so the conjunction of those two is actually what create the most probable secure quantum persistent approach.

It would be very naive to think that if you are upgrading only your ciphers and you are keeping pseudo randomness as the input of your cryptographic value chain, that the attacker will be very gentle to only use one algorithm to attack your system.

So there is a lot of people that are only concerned about attacks made by source algorithm.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.