What Is NVIDIA Morpheus?
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.
What Is NVIDIA Morpheus?
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.
Explore the Benefits of NVIDIA Morpheus
Executives
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.
Developers
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.

CVE Risk Analysis Using RAG
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.

Sensitive Information Detection
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.

Ransomware Detection
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.

Phishing Detection
Use this natural language processing AI model to analyze raw emails and automatically classify them into ham, spam, or phishing categories.

Fraudulent Transaction and Identity Detection
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.
Accelerate Development Time With AI Workflows
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.
Cybersecurity AI Framework
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.

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