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AWS Summit Sydney 2019

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Automate Security Event Management Using Trust-Based Decision Models

May 23, 2019

In this session you will learn how AWS Deep Learning can be used to automate security operations and build a machine learning system to protect your applications. This session focuses on early detection and containment of security threats, and shows you how to use semi-supervised machine learning to continuously contain these threats.

Speakers:
Deenadayaalan Thirugnanasambandam, Senior Cloud Architect, Amazon Web Services
Vinod Subramaniam, Senior Cloud Architect, Amazon Web Services

View slideshare »

Resources:

Previous Video
Essential Security Patterns
Essential Security Patterns

The cloud enables every business to have enterprise grade security. You don't have to have a dedicated secu...

Next Video
Security at Scale: Security Hub and the Well Architected Framework
Security at Scale: Security Hub and the Well Architected Framework

In this session you will learn how to align your AWS environment to industry standard best practices for se...