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1
Intro
2
WHOAMI
3
DISCLAIMER
4
DEEP... WHAT?
5
TIMELINE
6
METRICS
7
CLASSIFICATION & REGRESSION
8
OUTLIER DETECTION
9
SUPERVISED UNSUPERVISED
10
MACHINE LEARNING & DEEP LEARNING
11
AV-SYSTEMS / ENDPOINT PROTECTION
12
FRAUD PROTECTION
13
USER BEHAVIOR ANALYSIS
14
APPLICATION
15
NETWORK
16
MACHINE LEARNING TESTBENCH
17
THE FINE PRINT
18
HOW DO I...?
Description:
Explore AI and machine learning applications in IT security through this 37-minute conference talk. Dive into deep learning concepts, classification, regression, and outlier detection techniques. Learn about supervised and unsupervised learning approaches, and their applications in antivirus systems, endpoint protection, fraud prevention, and user behavior analysis. Discover how these technologies are utilized in network and application security. Gain insights into machine learning testbenches and practical implementation tips for enhancing your organization's cybersecurity defenses.

Alfred, Find the Attacker - A Primer on AI and ML Applications in the IT Security Domain

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