NVIDIA Morpheus is a GPU-accelerated, end-to-end AI framework for enterprise developers to build, customize, and scale cybersecurity applications anywhere—at a lower cost. The Morpheus development framework can be expressed as an API, which provides the power to analyze large volumes of data in real time for faster detection, and extends the capabilities of human analysts with generative AI for optimal efficiency.
How to Apply Generative AI to Improve Cybersecurity
Explore how to leverage generative AI throughout the cybersecurity stack, from copilots to synthetic data creation.
100% Visibility of Data for Real-Time Threat Detection
Morpheus GPU acceleration delivers the highest performance—at a massive scale—enabling enterprises to inspect and analyze all data and traffic across the entire network, including data center, edge, gateway, and centralized compute.
Boost Efficiency With Generative AI
By integrating generative AI powered by NVIDIA NeMo™, Morpheus extends the capabilities of security analysts, allows for faster automated detection and response, generates synthetic data to train AI models that more accurately identify risks, and runs “what-if” scenarios to prevent potential threats.
Accelerated Performance at a Lower Cost
The only cybersecurity AI framework to leverage inferencing and GPU acceleration at scale—up to 600X faster than CPU-only solutions—reducing time to detect from weeks to minutes, while drastically lowering operational costs.
All-in-One AI-Powered Cybersecurity
A GPU-accelerated all-in-one SDK toolkit that employs AI to address various cybersecurity use cases and simplify manageability. Deploy your own, or use pre-built models to predict and detect threats, combat phishing and ransomware attacks, and implement security copilots with generative AI capabilities.
Enterprise-Grade AI
Security, reliability, and manageability are critical for enterprise-grade AI. NVIDIA AI Enterprise, an end-to-end, cloud native software platform, accelerates data science pipelines and streamlines development and deployment of production-grade AI applications, including generative AI, computer vision, speech AI, and more.
Easy Development and Deployment
Morpheus is available as open source through GitHub, and integrates AI frameworks and tools that make it easier for developers to build cybersecurity solutions—from data preparation to training, inference, and at-scale deployments. For a quick jumpstart, Morpheus also offers pre-trained workflows and models for various cybersecurity use cases.
Versatile and Flexible
Morpheus is the only cybersecurity framework capable of leveraging a data processing unit (DPU) to view all traffic and log files across the entire network. Morpheus can handle an extremely wide variety of data types and can be deployed in the cloud, at the edge, or in the data center. Developers can easily integrate existing models with Morpheus for inferencing, or swap in newer models without interruption to their pipeline.
Real-Time Telemetry
Morpheus provides streaming data ingest tools for high-volume, high-velocity, low-latency data stores, and receives telemetry from network devices, log sources, traditional file stores, structured data stores, and anything else with easy-to-write custom stages. Integrating the framework into third-party cybersecurity offerings brings the world’s best AI computing to all networks.
Use Cases of Morpheus
Digital Fingerprinting
Uniquely fingerprint every user, service, account, and machine across the enterprise and employ unsupervised learning to flag when user and machine activity patterns shift.
The Morpheus LLM engine integration pipeline addresses common vulnerabilities and exposures (CVE) risk analysis with event-driven RAG. This method enables analysts to investigate individual CVEs four times faster, on average, and identify vulnerabilities and exploits with high accuracy so patches can be prioritized and addressed accordingly.
Find and classify leaked credentials, keys, passwords, credit card numbers, bank account numbers, and more. Use the pretrained model, customize your own model, and even bring your own existing rules from other supported tools.
Identify and stop ransomware, at the point of entry, up to 3X faster with NVIDIA App Shield, the Morpheus cybersecurity pipeline, and the NVIDIA® BlueField® DPU as a high-speed, high-fidelity source.
Detect fraud quickly, for a fraction of the cost, using graph neural networks—a capability that was previously not feasible without massive amounts of labeled data.
NVIDIA cybersecurity AI workflows help users get started with building AI-based cybersecurity solutions. The workflows package NVIDIA AI frameworks with training and inference pipelines, Helm charts for cloud-native deployment, and guidance on how to train and customize the solution for a specific use case. The workflows can reduce development time and lower costs, improve accuracy and performance, and bolster confidence in AI outcomes.
Detect Cybersecurity Threats As They Appear
Learn how the digital fingerprinting AI workflow can reduce time to detect cybersecurity threats from weeks to minutes.
Use the right tools to help you build and deploy AI-based cybersecurity solutions.
Begin Developing with Open-Source Code or AI Workflows
For individuals looking to access Morpheus’ open-source code and packaged AI workflows for development, there are two options to get started for free:
Access Open-Source Code: For those interested in using the latest pre-release features and building from source with NVIDIA’s open-source software on GitHub.
Morpheus provides a framework for performing real-time inference across massive amounts of cybersecurity data.
Morpheus is data agnostic and can send and receive telemetry data from multiple sources, as well as directly from an NVIDIA BlueField DPU, allowing continuous, real-time, and variable feedback that can affect policies, rewrite rules, adjust sensing, and perform other actions.
Bring Your Own Model
Integrate Existing Code
Easily integrate your existing models with Morpheus for inferencing. Swap in newer models without interruption to your pipeline.
Common Formats Supported
Use common deep learning frameworks like ONNX, PyTorch, TensorFlow, and NVIDIA TensorRT™ with support from NVIDIA Triton™ Inference Server. Forest inference is also supported via the RAPIDS Forest Inference Library.
Monitor Model Performance
Get real-time metrics on model performance with interoperability between your MLOps platform.
Fine-Tune Scripts
Increase accuracy and reduce false positives by using base scripts that can be customized for your environment.
Built for Customized Integrations
Easily integrate with existing security information and event management (SIEM), security orchestration, automation, and response (SOAR), visualization, or graph tools.
Resources
Videos
Training
Blogs
Sessions
Analyst Report
Community
Supercharge Software Delivery With Event-Driven RAG
Explore Agent Morpheus, an event-driven, retrieval-augmented generation (RAG) application built using NVIDIA NIM™, NeMo Retriever, and Morpheus.
Use the Morpheus pipeline to observe data across the entire network and apply AI inferencing and real-time monitoring to all necessary packets and data streams—at an unprecedented scale.
The NVIDIA digital fingerprinting AI workflow uniquely fingerprints every user, service, account, and machine across the network—employing unsupervised learning to flag suspicious shifts in activity patterns.
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.
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 to 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 digital fingerprinting to detect cyber threats with ready-to-use software, sample data, and applications.
Generative AI Helps Detect and Address Software Security
NVIDIA NIM and Morpheus dramatically cut the time it takes to identify and mitigate CVEs to just seconds—rather than the hours or even days it would take security analysts using traditional tools.
How LLMs and Generative AI are Transforming Security
Explore three use cases showing how generative AI and LLMs improve cybersecurity, and three examples of how AI foundation models for cybersecurity can be applied.
Three Ways Generative AI Can Bolster Cybersecurity
Learn how to use machine learning to defend networks from intruders. Software assistants, virtual vulnerability analysts, and synthetic data simulations, are three ways of applying generative AI to a security journey that continues every day.
Learn how to use large language models, generative AI, retrieval-augmented generation, and machine learning techniques to dramatically strengthen your cybersecurity posture.
How to Apply Generative AI to Improve Cybersecurity
Find out where generative AI can be applied to security to realize business value, reducing the time to detect cyber threats, addressing data gaps, and enriching models by creating synthetic training data.
Rethinking Cybersecurity in the Age of Generative AI
Join leading cybersecurity companies such as Palo Alto Networks, Deloitte, and Visa to learn how they use generative AI to advance cybersecurity threat detection.
NVIDIA Morpheus AI Framework Revolutionizes Cybersecurity
Enterprise Management Associates (EMA), a leading industry analyst firm, describes how Morpheus enables the cybersecurity industry to build more accurate and efficient AI solutions.
Explore the online community for NVIDIA Morpheus, where you can find how-to questions and best practices, engage with other developers, and report bugs.
Connect with millions of like-minded developers and access hundreds of GPU-accelerated containers, models, and SDKs—all the tools necessary to successfully build apps with NVIDIA technology—through the NVIDIA Developer Program.
See how NVIDIA Inception, the free program for cutting-edge startups, offers critical access to go-to-market support, technical expertise, training, and funding opportunities.
Talk to an NVIDIA product specialist about moving from pilot to production with the assurance of security, API stability, and support with NVIDIA AI Enterprise.
