From the course: DJ Patil: Ask Me Anything
How can AI and machine learning (ML) help cybersecurity?
From the course: DJ Patil: Ask Me Anything
How can AI and machine learning (ML) help cybersecurity?
(soft music) - [Interviewer] What insights can AI machine learning give us about cyber security? How can it help us? - Yeah it's actually might be one of the most pressing problems right now. So first how do we see machine learning and data science and all this come together for cyber security? Well one of the interesting insights was actually the early days of LinkedIn. We had a great data science team, much of which had been built out of people who came out of National Security after 9-11, so finding signal in the noise. People who had worked at Ebay and PayPal finding fraud and fighting fraud systems. And so one of the things that we realized is, well, we're building all this technology and techniques in data science to build these products, we can also use that to fight the bad guys who are trying to attack. And use that to create leverage to stay ahead of them. It's a constant evolving game. In the same way right now we have a real challenge because one of the biggest impacts where you can have, and have benefit from, AI and machine learning, is that you have an attacker who's constantly changing. So they've evolving over time. So if you create a static model, you have to update that model as you realize how the attacker is changing. But you're always lagging behind the attacker. This is the attacker, you're kind of always slightly trailing. So you're always losing. Machine learning allows you to stay much closer and adapt much more effectively to how they're operating. And so one of the things that we built and many people have iterated on now, is a lot of these fraud systems are machine learning based, they are AI based. And that's how we rapidly retrain them and get them to fight fraud. The bad guys have figured this out too. And as a result what they've done is they've realized, hey wait, I could use AI and machine learning to attack. And that attack happens in a few ways. One is, if you're just trying to poke and see where holes are in a system, that's a great problem for a computer. 'Cause it's like test, test, test, test, iterate, what did I learn, what did I learn? Figure out, modify, try again. And so finding a hole in your system is a machine learning, AI problem. So how do you fight that? The only way to fight that is going to be with machine learning. The other problem that we're starting to see is new attack vectors that are created using AI and machine learning. So for example, these ransomware attacks that have been happening. Well one of the things that we've started to see is, the way you get into a system by providing malware and then being able to have the system locked up and telling people, hey you've got to pay us a certain amount to get it unlocked, how do they do that? One of the ways they start using is social media, like links on Twitter and other places, that are adaptively tuned based on machine learning. So they try a certain messaging, did it work, did it not work, let's try another one. And because the volume is out there they can test so many different variations, they find the optimal one that is going to get you to basically click on a link. Similar versions are starting to happen when you get all these robocalls. Is they're trying to figure out, hey, is that a real human there, is it not? And then start trying to guess about this. And you've seen these chat bots that have been, people have a hard telling is this a human or not? So all of that type of social dynamics is being deployed to insert traditional malware. And that's a new form, so how do we fight that? Once again, it's going to have to be machine learning and AI. (gentle music)
Contents
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What were you like as a kid?3m 17s
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How did your parents influence you?1m 55s
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How did you navigate college?4m 7s
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What are some fond memories from grad school?2m 45s
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How can we foster learning for everyone?5m 9s
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What's the importance of learning liberal arts?2m 30s
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What advice do you have for job seekers?3m 23s
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How did data science come about?4m 8s
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What does it take to be a data scientist?4m 1s
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Why is apprenticeship important?3m 41s
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How can a data scientist influence policy?2m 20s
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How can I prepare for data science in college?4m 56s
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How can hackathons benefit me?1m 30s
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How did you use data in grad school?2m 15s
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How is data used in the US?3m 55s
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How is data used worldwide?1m 38s
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How do you expose holes in cybersecurity?3m 32s
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How can we educate people about hacking?2m 30s
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What are the real threats to personal data?4m 6s
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Should we focus on media headlines?1m 39s
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How can we educate people about data use?3m 34s
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How can people fight for data privacy?2m 46s
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What's the role of the data scientist in 15 years?4m 30s
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What are you working on currently?3m 31s
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How can we make data secure?3m 26s
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How to serve the people with data science?1m 47s
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What's the difference between wisdom and experience?1m 54s
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How do you advocate for science?2m 3s
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What is the role of AI in today's world?2m 54s
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What's an example of ethical hacking?2m 9s
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How do you bring data science into the workplace?2m 29s
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What is the role of AI in human resources and recruiting?3m 3s
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What are tools every data scientist should own?2m 44s
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Is there a data science code of ethics?4m 6s
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What are AI threats in the cybersecurity world?4m 38s
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How can data scientists better inform the general public?1m 30s
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How can people participate in data science?2m 31s
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Why do people fear a machine revolution?2m 18s
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How can data inform healthcare?1m 31s
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Why should we democratize data?2m 14s
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How are you advocating for science?3m 9s
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Why is the march for science important?3m 42s
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What is AI?1m 37s
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What is an example of robust machine learning?4m 31s
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What is AI's place in healthcare?3m 29s
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How can AI impact clinical trials?3m 22s
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How can a data scientist be best leveraged for business?1m 28s
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What does a data science team need to thrive?2m 56s
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What are the pros and cons with AI in HR roles?3m 27s
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What should be in a data scientist's toolbox?3m 23s
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What makes up a good data science team?2m 3s
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What new projects are you working on?2m 51s
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What data science projects are you working on?1m 40s
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How can AI and machine learning (ML) help cybersecurity?3m 54s
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How can governments fight back against AI attacks?3m 5s
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What can the public do to protect against AI attacks?1m 14s
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What are neural networks (NN)?2m 8s
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What's the difference between ML and NN?1m 42s
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Do you have a favorite machine learning technique?1m 7s
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How does the Internet of Things work?1m 38s
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What is a connected city?3m 3s
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What is the fear associated with data?2m 30s
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How can we address the fear of machines taking jobs?3m 20s
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What about job loss due to AI?1m 43s
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What's the reality of bringing back jobs?1m 50s
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What is a scientific process for data science?2m 46s
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What is your tip for not getting overwhelmed by big data?1m 40s
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How do you accept that you're not going to know stuff?2m 38s
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What is a dynamic range?2m 1s
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When does data leave holes?3m 8s
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How important is diversity on a data science team?2m 13s
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How does data influence people's emotions?4m 15s
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How do you train yourself to be intellectually curious?2m 20s
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How do we empower people to foster dialogue?3m 33s
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What is your philosophy on leadership?2m 56s
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How can a company retain employees?3m 42s
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How do you cultivate employee development?3m 18s
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How do you identify algorithmic biases?2m 46s
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Can you describe the process of ethical testing?2m 46s
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How do you feel about machine learning for business decisions?1m 52s
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Can you talk about your book?4m 10s
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What are possible solutions for displacement?2m 23s
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What impact does technology have on the US economy?3m 2s
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Can you discuss the future of intelligent things?3m 26s
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What are the current issues with data collection?2m 10s
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How is technology changing human expectations?1m 7s
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Wrapping up1m 5s
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