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This presentation will explain that while a great deal of progress has been made in the evolution of machine learning’s application to cybersecurity challenges, there remains an immense amount of opportunity for innovation and advancement. This session will review the fundamentals of ML, and how the considerations of security will inform development of novel ML methods.
Learning Objectives:
1: Understand the past, present, and future of AI security technologies
2: Learn how to evaluate maturity of AI products
3: Identify the risks and opportunities of AI for security
Learning Objectives:
1: Understand the past, present, and future of AI security technologies
2: Learn how to evaluate maturity of AI products
3: Identify the risks and opportunities of AI for security
Analytics Intelligence & Response Security Strategy & Architecture
big data analytics artificial intelligence & machine learning
Topic
Analytics Intelligence & Response
Security Strategy & Architecture
Subtopic
big data analytics
artificial intelligence & machine learning
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