Automating Security Controls Using Models and Security Orchestration

  1. Moscone West

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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