Kent Stern

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Kent Stern

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As Director and Lead Data Mining Security Architect for CodeCenters International, you will find him resolving infrastructure security issues between long haul flights and teaching information intelligence to the next generation of data architects. For the last 30 years, his work has focused on data architecture, pre and post incident/attack reconciliation and AML auditing. In the classroom, he’s known for his creative teaching methods for analyzing everything from high volume enterprise packet flows to insider threats. He randomly quotes “one-liners” from dubious sources and refers back to his calculations and mining models as a basis for all things to be reconciled and true. He has worked in niche areas ranging from anti-money laundering ...more

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Kent Stern There is no way you'll get it unless you finish the book. Post it on the book page and see if any of the other can help. No spoilers from me.…moreThere is no way you'll get it unless you finish the book. Post it on the book page and see if any of the other can help. No spoilers from me.(less)
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Quotes by Kent Stern  (?)
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“You should be able to reconcile past events in a matter of seconds. However, if you do not know what is or has happened, you must take an offensive posture and actively seek out those agents and transactions based on multiple dimensions over time. This is the environment in which you will work and you must build a security model that can actively detect, monitor and pursue that activity.”
Kent Stern, Obtaining Actionable Intelligence for CINDER Threat Detection using DMX Mining Models

“You should be able to reconcile past events in a matter of seconds. However, if you do not know what is or has happened, you must take an offensive posture and actively seek out those agents and transactions based on multiple dimensions over time. This is the environment in which you will work and you must build a security model that can actively detect, monitor and pursue that activity.”
Kent Stern, Obtaining Actionable Intelligence for CINDER Threat Detection using DMX Mining Models

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