Listen "Data-Driven Cybersecurity with Wade Baker"
Episode Synopsis
Howdy, y’all! Our guest today is Wade Baker, cybersecurity researcher, entrepreneur, professor… Wade is a Board of Directors member of the FAIR Institute, was an Advisory Board Member at the RSA Conference, was VP of Strategy & Risk Analytics at ThreatConnect, and is now Co-Founder of Cyentia Institute, which aims to advance cybersecurity knowledge and practice through data-driven research. Wade joins Drew and Allan to talk about (go figure!) data-driven cybersecurity. The three smash through a lot of assumptions and get to the heart of what is really going on in cybersecurity.
Questions covered:
What is the Information Risk Insights Study (IRIS)? (cyentia.com/iris/)
What is a good summary of the IRIS Ransomware report?
How organizations out there can be more data-driven?
Analyst whitepapers vs. real data research – what are the differences?
Who else can mine data like this?
What truths do people resist or what do they fail to embrace?
What are the sacred cows and the “inflatable cows”?
Is the cyber job shortage a real, data-backed problem?
The desire for “flat math” vs. curves (the 5x5 grid) …
Measuring the problem side vs the solution side…
Actual best practices vs. common practices…
Insurance industry data and why they don’t share it…
Much of what we do does not affect the realities of our cyber risk.
Stepping back from all of this, what is the value in data-driven industry analysis of this sort?
How does one sponsor IRIS publications?
Y’all be good now!
Questions covered:
What is the Information Risk Insights Study (IRIS)? (cyentia.com/iris/)
What is a good summary of the IRIS Ransomware report?
How organizations out there can be more data-driven?
Analyst whitepapers vs. real data research – what are the differences?
Who else can mine data like this?
What truths do people resist or what do they fail to embrace?
What are the sacred cows and the “inflatable cows”?
Is the cyber job shortage a real, data-backed problem?
The desire for “flat math” vs. curves (the 5x5 grid) …
Measuring the problem side vs the solution side…
Actual best practices vs. common practices…
Insurance industry data and why they don’t share it…
Much of what we do does not affect the realities of our cyber risk.
Stepping back from all of this, what is the value in data-driven industry analysis of this sort?
How does one sponsor IRIS publications?
Y’all be good now!
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