When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
Traditional cybersecurity methods include creating barriers around your infrastructure to protect it from intruders. However, as enterprises continue to digitally transform, they’re faced with a...
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Traditional cybersecurity methods include creating barriers around your infrastructure to protect it from intruders. However, as enterprises continue to digitally transform, they’re faced with a proliferation of devices, more sophisticated cybersecurity attacks, and an incredibly vast network of data to protect—which means new cybersecurity methodologies must be explored. An alternative approach is to address cybersecurity as a data science problem: Aim to better understand all the users and activities across your network so that you can identify which transactions are typical and which are potentially nefarious.
The NVIDIA Morpheus AI framework lets cybersecurity developers and practitioners harness the power of GPU computing to implement cybersecurity solutions that perform on a scale never before possible. With Morpheus, cybersecurity developers can create optimized AI pipelines for filtering, processing, and classifying large volumes of real-time data. Bringing a new level of information security to data centers, Morpheus enables dynamic protection, real-time telemetry, and adaptive defenses for detecting and remediating cybersecurity threats.
Introduction
An Overview of the NVIDIA Morpheus AI Framework
Morpheus Pipeline Construction
Inference in Morpheus Pipelines
Case Study: AI-Based Machine Log Parsing at Splunk
Digital Fingerprinting Pipeline
Time Series Analysis
Case Study: Cybersecurity Flyaway Kit at Booz Allen Hamilton
Assessment 1: Test Your Understanding
Assessment 2: Practical Demonstration
Wrap Up