NVIDIA Morpheus
NVIDIA Morpheus is a GPU-accelerated, end-to-end AI framework that enables developers to create optimized applications for filtering, processing, and classifying large volumes of streaming cybersecurity data. Morpheus incorporates AI to reduce the time and cost associated with identifying, capturing, and acting on threats, bringing a new level of security to the data center, cloud, and edge. Morpheus also extends human analysts’ capabilities with generative AI by automating real-time analysis and responses, producing synthetic data to train AI models that identify risks accurately, and run what-if scenarios
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Ways to Get Started With NVIDIA Morpheus
Use the right tools to build and deploy AI-based cybersecurity solutions.
Access Code for Development
Morpheus is available as open-source software on GitHub for developers interested in using the latest pre-release features and who want to build from source.
Access Code on GitHub
Download Workflows for Development
The digital fingerprinting threat detection and spear phishing detection AI workflows include AI frameworks and resources, such as Helm charts, Jupyter Notebooks, and documentation to give developers a jump-start when building AI solutions.
Download Workflows from NGCTry the Workflows on LaunchPad
Purchase NVIDIA AI Enterprise for Production
Get unlimited usage on all clouds, access to NVIDIA AI experts, and long-term support for production deployments with a purchase of NVIDIA AI Enterprise.
Contact Us About Purchasing MorpheusApply for a 90-Day NVIDIA AI Enterprise Evaluation LicenseIntroductory Resources
Getting Started Guide
Learn three ways to get started with Morpheus, including how to use a pre-built docker container, how to build the Morpheus docker container, and how to build Morpheus from source.
Technical Briefs
Explore the training and inference pipelines, components, prerequisites, and more for working with the cybersecurity AI workflows.
Examples
Take a deeper dive into some of the concepts in Morpheus, including anomalous behavior profiling with the RAPIDS Forest Inference Library (FIL), abnormal behavioral profiling detection, graph neural networks (GNN) fraud detection, and more.
Introductory Blog
Explore three use cases that demonstrate how generative AI and large language models (LLMs) improve cybersecurity, as well as three examples for applying AI foundation models for cybersecurity.
Technical Session
Watch NVIDIA Director of Cybersecurity Engineering, Bartley Richardson, as he discusses the power of generative AI in helping businesses detect threats faster, fill data gaps, and enrich models with synthetic training data.
GTC Session
Explore the latest developments in Morpheus and see how you can take advantage of the tools, frameworks, pre-trained models, and infrastructure optimization software for building solutions that tackle cybersecurity challenges.
Content Kits
Access technical content on cybersecurity topics such as spear phishing detection and digital fingerprinting.
Spear Phishing Detection
Spear phishing is one of the largest and most costly cyber threats to organizations. Customized for individuals and usually very convincing, spear phishing emails are difficult to defend against due to a lack of training data. This kit will take you through spear phishing detection built around Morpheus and demonstrate how to use the content.
Digital Fingerprinting
As the number of connected users and devices expands, enterprises are generating more data than they can collect and analyze, creating a cybersecurity challenge. Use this kit to build a fingerprint of every user on the network to better detect anomalies.
Hands-On Labs, Self-Paced Training, and Instructor-Led Workshops
Are you looking to test, prototype, and deploy your own applications and models? NVIDIA LaunchPad provides free access to NVIDIA hardware and software, so you can experience the power of cybersecurity through guided, hands-on labs. Plus, if you’re looking to grow your skills or accelerate your team’s development, NVIDIA Training offers instructor-led workshops and self-paced courses to get you started.
Build AI-Based Cybersecurity Solutions LaunchPad Lab
In this free hands-on lab, you’ll find use case examples for digital fingerprinting, analyzing the behavior of every user and machine across the network, detecting and classifying phishing emails, profiling anomalous behavior, and more.
Spear Phishing Detection Using Generative AI LaunchPad Lab
Have an upcoming cybersecurity AI project? Apply to get hands-on experience using the NVIDIA AI workflow so you can build a faster, more accurate spear phishing detection solution.
Digital Fingerprinting to Detect Cyber Threats LaunchPad Lab
Identify and react to cybersecurity threats faster with AI-based threat detection and alert prioritization. Access a step-by-step guided lab for insider threat detection with ready-to-use software, sample data, and applications.
Digital Fingerprinting with Morpheus DLI Course
In this course, you’ll get hands-on experience developing and deploying the NVIDIA digital fingerprinting AI workflow that enables 100 percent data visibility and drastically reduces the time to detect threats. You’ll also hear from cybersecurity experts from a variety of institutions about how to use NVIDIA AI frameworks and tools to architect cybersecurity solutions.
Building AI-Based Cybersecurity Pipelines Instructor Led Workshop
Build Morpheus pipelines to process and perform AI-based inference on massive amounts of data for cybersecurity use cases—in real time. Utilize several AI models with a variety of data input types for tasks like sensitive information detection, anomalous behavior profiling, and digital fingerprinting.
Customize Cybersecurity Workflows LaunchPad Lab
In this hands-on lab, design and optimize end-to-end cybersecurity AI workflows for production deployments of custom use cases using the NVIDIA Morpheus SDK. Simplify deployment of cybersecurity AI models using NVIDIA Triton? Inference Server and its optimization utilities for accelerated inference.
Explore the online community for NVIDIA Morpheus, browse how-to questions and best practices, engage with other developers, and report bugs.