Howdy, y’all, and welcome to The Cyber Ranch Podcast! With us today is Patrick Benoit, Global Head of Cyber GRC, and BISO at CBRE. Patrick is here to talk about Data Risk Governance, a slightly new twist on an old problem. Like our host, Patrick is also from the Dallas-Fort Worth area of Texas.
To start the conversation, Allan asks Patrick to share a little about himself, his background in information security and what he does at his day job. Patrick began his career in the military, eventually coming over to consulting and enterprise. He has built out more than one BISO program, and has run multiple GRC programs as well. Patrick has a customer-facing security role and believes that all security leaders are also, to some degree, sales leaders.
Allan and Patrick walk through a very practical approach to Data Risk Governance, starting with 'big chunks' and working towards the future with data tagging.
They discuss briefly various rules for dealing with older data and various means of risk measurement.
Ultimately their model is designed to work over a three-year or five-year period, encompassing all data in the organiztion by that time.
0:23 Allan introduces Patrck
1:36 Patrick shares his cyber background and his jay job
4:10 Patrick introduces his model of Data Risk Governance, which began as a sales/marketing tool and evolved into a "real" practice
5:59 Patrick introduces the precursors to setting up a proper Data Risk Governance program, which includes data classification among others
8:01 Allan explains how data disocvery and classification can be expensive and yet still only partially succesful
9:12 Patrick advocates his 'one bite at a time' method based at first on broad strokes of known valuable/risky data
10:45 Allan describes multiple data loss stories from his past
12:10 Patrick delineates in more detail the 'big chunks of data' method and his firewall analogy of allow/deny
13:23 Patrick notes that classification followed by tagging is a great approach
13:57 Allan proposes a new-data-only go-forward plan and Patrick agrees
15:56 Patrick talks about how the legal department owns data retention rules
17:30 Talks about how chat messages should be volatile
19:00 Allan proposes usese tagging to manage destruction and retention
21:00 Patrick notes that reducing risk by tagging some of your data is better than tagging none of it
23:30 Patrick discusses his model for quantifying risk vs investment as an 'orders of magnitude' problem with dollars as unit of measure
25:17 Allan proposes the car insurance model to counter Patrick's life insurance model
26:00 Allan talks about accurizing risk measurement and discusses briefly models like FAIR and Bayesian math vs. Patrick's orders of magnitude method
27:09 Patrick uses the 5x5 method not as a specific measurement but more as a visual aid and heatmap
29:11 Patrick explains what keeps him going in information security
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