Building AI-Based Cybersecurity Pipelines (BABCP) – Outline

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Introduction

  • Meet the instructor.
  • Create an account at courses.nvidia.com/join

An Overview of the NVIDIA Morpheus AI Framework

  • Explore the fundamental mechanics and tools involved in successfully training deep neural networks:
    • Understand the need for AI-based cybersecurity.
    • Learn about the components of the Morpheus framework.
    • Discover how institutions are building solutions with Morpheus.

Morpheus Pipeline Construction

  • Get an overview of the Morpheus SDK and CLI.
  • Learn about pipeline types and commands.
  • Learn about data input/output (IO) and processing.

Inference in Morpheus Pipelines

  • Get an overview of NVIDIA Triton Inference Server.
  • Understand how models are deployed.
  • Explore a sensitive-information-detection pipeline.

Case Study: AI-Based Machine Logs Parsing at Splunk

  • Apply your understanding to a real-world example.

Digital Fingerprinting Pipeline

  • Use the Morpheus autoencoder pipeline.
  • Discover compromised credentials.

Time Series Analysis

  • Apply time series analysis within a Morpheus pipeline.
  • Combine time series analysis with digital fingerprinting.

Case Study: Cybersecurity Flyaway Kit at Booz Allen Hamilton

  • Apply your understanding to a real-world example.

Assessment 1: Test Your Understanding

  • Assess your conceptual understanding of the topics covered.

Assessment 2: Practical Demonstration

  • Build an end-to-end Morpheus pipeline to identify a cybersecurity breach.

Wrap Up

  • Get resources for further development with Morpheus.
  • Provide feedback on the workshop.