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Episode 6  |  36:55 min

Can ML Solve the Cybersecurity Skills Gap?

Episode 6  |  36:55 min  |  07.22.2020

Can ML Solve the Cybersecurity Skills Gap?

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This is a podcast episode titled, Can ML Solve the Cybersecurity Skills Gap?. The summary for this episode is: Year after year we read about millions of unfilled cybersecurity jobs as incidents increase and Twitter experiences one of the most public cyber meltdowns in history. We talk with data scientist extraordinaire, Michael Roytman about whether Machine Learning can fill the cybersecurity skills gap.
Takeaway 1 | 01:15 MIN
Coffee Risks and Nespresso Pods
Takeaway 2 | 02:12 MIN
Roytman's Hot Take on The Cybersecurity Skills Shortage
Takeaway 3 | 01:02 MIN
Skills Gap Fast Facts
Takeaway 4 | 04:36 MIN
Why Is There a Skills Gap
Takeaway 5 | 01:22 MIN
Defining What Security Is
Takeaway 6 | 02:52 MIN
The Inertia of Gaining Visibility
Takeaway 7 | 02:08 MIN
Crazy to Expect Humans to Analyze Data Sets at Internet Scale
Takeaway 8 | 03:09 MIN
The State of ML Automation Today
Takeaway 9 | 02:21 MIN
Wicked Problems
Takeaway 10 | 01:55 MIN
What Problems Are Solvable?
Takeaway 11 | 01:39 MIN
Toyota QA Is A Source Of Hope
Takeaway 12 | 02:41 MIN
What Roles Can ML Fill?
Takeaway 13 | 01:18 MIN
What Is ML Bad At?
Takeaway 14 | 02:54 MIN
Humans Are Good At Complexity
Takeaway 15 | 01:45 MIN
So Can ML Solve The Cybersecurity Skills Gap? Yes, but...
Takeaway 16 | 02:03 MIN
Future State of ML in Cybersecurity