• 8 months ago
Merav Bahat, Co-founder and CEO, Dazz
Transcript
00:00 So just imagine that we're not here in London at the Rosewood, but rather we're in Paris
00:06 in the movie cinema, and the year is 1895.
00:11 So what happens now is that all of us are just jumping on our feet, running to the door,
00:16 shouting and screaming and really panicking.
00:19 What happened to the people when the first film was presented?
00:25 They couldn't tell right from wrong, is that a real train or not?
00:29 People are really, really afraid that it's going to go at them and crush them.
00:33 It might be funny today, but that's not the only example, right?
00:38 Whenever there's a new technology, typically modern technologies have always been a little
00:43 bit scary.
00:45 And I can share a few more examples.
00:47 Even when you think about -- consumers were always terrified of elevators, right?
00:53 So just think about it.
00:54 It makes sense.
00:55 Just being hanging up there in the sky with just a few cables holding you up, this is
01:01 terrifying.
01:02 And then the phone, people thought that it's a device that helps communicate with the deaf.
01:07 And even today, an average American is more afraid of robots than death itself.
01:15 But we all know that today the thing that we are afraid of more is AI.
01:20 And are there good reasons to be afraid of AI?
01:23 Obviously, yes.
01:24 Because even if you think about news and social media, we cannot even tell what is real, what
01:30 is not real, what is fake.
01:32 And our identities, they could be theft and breached so easily, so everybody can become
01:38 us and they can tap into our bank accounts and medical records and what have you.
01:44 And that's only the personal level.
01:47 At the business level, and I'm sure that you discussed it thoroughly today, is people are
01:53 afraid that AI is becoming so smart that it's actually going after our jobs.
01:58 They can become better doctors, better teachers, better software developers than us.
02:04 But the real threat that is already coming is definitely cybersecurity.
02:09 We already see the attackers, the bad guys, using AI and data to have way more sophisticated
02:18 attacks and at a higher scale.
02:20 I will just give you an example of malicious phishing email attacks.
02:27 So I think it's one of the attacks that people are more common and aware of.
02:32 So in the past, attackers would have just sent emails, right?
02:36 It takes them forever to find addresses and all that.
02:39 Today, like email with chatGPT, it was a thousand times more attempts than before chatGPT.
02:47 And when you think about the attack itself, so in the past it would be like a simple email
02:52 targeting you.
02:53 Some people would trap, you fall in the trap, and others, you know, just ignore it.
02:57 But today with chatGPT, the attackers actually automate the response.
03:01 So in a way, you have a full communication with the attacker and you don't know, you're
03:06 not aware, and it looks like a human being and it's very targeted and personalized.
03:10 So way more people fall into the traps.
03:12 So yeah, cybersecurity is already, the attacker is already using AI for the bad.
03:19 So can we use AI for the good?
03:22 Obviously yes, right?
03:23 Even if you think about the other examples of the train and the telephone and the elevator,
03:29 and all these technologies help us communicate better, take us from one place to another,
03:34 and save us a lot of time.
03:35 We can even hardly imagine our lives without it.
03:38 I think that that's going to be the same with AI, like five, ten years from now, we cannot
03:42 imagine our lives without AI.
03:44 And can it be used for good?
03:46 Of course it can.
03:47 Just think about medical doctors just using all this data to better have analysis of patients,
03:52 even like specifically like in rare cases when you need to get data from the entire
03:57 world to give a better prescription of medicine for the patient.
04:02 And the same with developers, they can develop with AI way faster and more accurately.
04:07 So yeah, AI definitely could be used for the good.
04:11 What we also see in cybersecurity, we're already using AI, LLM data in order to defend our
04:18 organizations better.
04:20 Look at CISA, which is a cybersecurity agency in the United States.
04:27 They're using terabytes of data just in order to identify anomalies in this data, which
04:34 these anomalies can show that there are upcoming threats.
04:37 So they can help in advance alert on upcoming threats and organization can get appropriately
04:43 prepared.
04:44 Even in Britain, the MI6, the spies are using AI to disrupt the flow of weapons to Russia
04:53 on the war against Ukraine.
04:55 And when you think again about developers and organizations, use of AI to fix flows,
05:02 security flows faster, this is something that definitely we're starting to see more so.
05:07 And this is exactly what we do with DAS, my company, and we're not the only ones, that
05:11 we're trying to leverage AI for protection.
05:15 So in a way, when you think about businesses, they're being breached every 11 seconds, which
05:19 creates a huge damage, economic damage in the world.
05:23 And what we can help is with detection, identification, you'll very quickly identify the exposure,
05:29 but you also help with the fix using AI.
05:32 So we can help fix code security issues or security vulnerabilities really quickly.
05:39 Just to sum up, every company will be an AI company.
05:44 Like every company moving to the cloud, every company is a software company.
05:48 Security organizations and security teams will have to be AI teams.
05:52 They have to defend their organizations using AI.
05:56 And more importantly, when you think about it, cybersecurity was always a data play,
06:03 but now it's even bigger play.
06:05 And whoever wins is the ones that have the data.
06:09 Good news is that the defense side now has all the data.
06:13 So we're very, very well positioned to fight AI with AI, and we will win.
06:18 Thank you, everyone.
06:19 [ Applause ]
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06:19 [ Applause ]
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