1. Moscone West 2007

Many organizations have adopted machine learning and data analytics to help them identify security anomalies. However, mere identification isn’t good enough in a world where Petya and other modern attacks can take down 15,000 servers in a single organization in under two minutes. Organizations need to look at model-driven security to response to emerging threats and attacks.

Learning Objectives:
1: Understand what model-driven security is.
2: Learn about dynamic provisioning.
3: Find out how to get there.

Pre-Requisites:
Identity and access management; security data analytics.

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