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Cybersecurity
Reduce the time and cost to identify, capture, and act on threats and anomalies.
Demo | Solution Brief | For Developers
As cybersecurity threats continue to escalate and diversify, organizations need new ways to address them. Cybersecurity is a data problem—but collecting and analyzing all data across a network in real time is cost-prohibitive and difficult—unless accelerated AI is used.
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 how to leverage generative AI throughout the cybersecurity stack from copilots to synthetic data creation.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Use this natural language processing AI model to analyze raw emails and automatically classify them into ham, spam, or phishing categories.
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.
Learn how the digital fingerprinting AI workflow can reduce time to detect cybersecurity threats from weeks to minutes.
Find out how NVIDIA uses generative AI and Morpheus to improve detection of spear phishing emails by 20 percent—with less than a day of training.
Use the right tools to help you build and deploy AI-based cybersecurity solutions.
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.
Download AI Workflows: For those looking to jump-start building your cybersecurity solutions with NVIDIA’s packaged AI workflows on NVIDIA NGC™.
For enterprises looking to try Morpheus before purchasing NVIDIA AI Enterprise for production, there are two options to get started for free:
Without Infrastructure: For those without existing infrastructure, NVIDIA offers free hands-on labs through NVIDIA LaunchPad.
With Infrastructure: For those with existing infrastructure, NVIDIA offers a free evaluation license to try NVIDIA AI Enterprise for 90 days.
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.
Easily integrate your existing models with Morpheus for inferencing. Swap in newer models without interruption to your pipeline.
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.
Get real-time metrics on model performance with interoperability between your MLOps platform.
Increase accuracy and reduce false positives by using base scripts that can be customized for your environment.
Easily integrate with existing security information and event management (SIEM), security orchestration, automation, and response (SOAR), visualization, or graph tools.
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.
Provide security teams with complete visibility into security threats by bringing together unmatched AI processing with real-time monitoring of every server and packet throughout the network.
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.
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.
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.
Using generative AI and the NVIDIA Morpheus cybersecurity AI framework, developers can build solutions that detect spear phishing attempts more effectively and with extremely short training times.
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.
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.
Explore the latest advancements in LLMs, including how to leverage them throughout the cybersecurity stack—from copilots to synthetic data generation.
Learn how NVIDIA ecosystem partners help organizations build powerful solutions to defend against cyber threats with NVIDIA AI technologies.
Watch this on-demand panel with Dell, the U.S. Department of Defense, and the Office of the National Cyber Director, who advises the Executive Office of the President, to learn how AI can be used to expand the defense ecosystem.
Featured
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.
Find the right license to build and deploy AI-based cybersecurity solutions or explore more development resources.
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.
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