AI Framework for Cybersecurity
NVIDIA Morpheus is an open application framework that enables cybersecurity developers to create optimized AI pipelines for filtering, processing, and classifying large volumes of real-time data. Bringing a new level of information security to the data center, cloud, and edge, Morpheus uses AI to identify, capture, and act on threats and anomalies that were previously impossible to identify.
Video: Learn how NVIDIA Morpheus can help reduce time to detect from weeks to minutes Watch Now
Achieve 100% Data Visibility
Analyze 100% of the data across the enterprise, flag anomalies, and provide intelligent alerts with actionable information within a visualization app to enable cybersecurity analysts to address cyberthreats immediately.Learn More
AI-Based Threat Detection at Scale
Observe all data across the entire network and apply AI inferencing and real-time monitoring to all necessary packets and data streams — at a scale previously impossible to achieve.Learn More
Analyze Behavior of Every User and Machine
Uniquely fingerprint every user, service, account, and machine across the enterprise data center — employing unsupervised learning to flag when user and machine activity patterns shift.Learn More
Detect Cybersecurity Threats Instantly
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 data center.Learn More
Fast-Track Your Morpheus Journey with NVIDIA LaunchPad
Get immediate access to NVIDIA Morpheus with free curated labs. Use cases include AI-powered digital fingerprinting to analyze the behavior of every user and machine across the network, phishing and sensitive information detection, and more.
Quick Development and Deployment
Morpheus integrates tools to make it easier for you to build cybersecurity solutions. Built on the NVIDIA AI platform including RAPIDS™ libraries, deep learning frameworks, and NVIDIA Triton™ Inference Server, Morpheus simplifies the analysis of logs and telemetry to help detect and mitigate security threats.
AI Cybersecurity Use Cases
Deploy your own models using common deep learning frameworks. Or use a Morpheus pretrained and tested model to get a jump-start in building applications to identify leaked sensitive information, detect phishing, ransomware, malware or fraud, or flag user behavior changes.
Morpheus can receive rich, real-time network telemetry from every NVIDIA® BlueField® DPU-accelerated server and NVIDIA DOCA™-based application, including Telemetry Flow Inspector and App Shield, in the data center without impacting performance. Integrating the framework into a third-party cybersecurity offering brings the world’s best AI computing to communication networks.
Morpheus is a GPU-accelerated SDK enabling, for the first time, the ability to inspect all network traffic in real time, flag anomalies, and provide insights on these anomalies so that threats can be addressed quickly.
Morpheus provides a framework to perform real-time inference across massive amounts of cybersecurity data.
Uniquely fingerprint every user, service, account, and machine across the enterprise data center and then employ unsupervised learning to flag when user and machine activity patterns shift.Read More Watch Demo
Sensitive Information Detection
Find and classify leaked credentials, keys, passwords, credit card numbers, bank account numbers, and more.Watch Demo
Crypto-Mining Malware Detection
Catch anomalies by profiling behaviors to spot crypto-mining malware, which can result in malicious DNS traffic and overutilization of compute resources.
Use this natural language processing (NLP) AI model to analyze entire raw emails to classify them into ham, spam, or phishing categories automatically.Read More
Fraudulent Transaction and Identity Detection
Detect fraud at a fraction of the time and cost using graph neural networks (GNNs)–a capability that was not feasible before without massive amounts of labeled data.Read More
Identify and stop ransomware at the point of entry up to 3x faster with NVIDIA App Shield, the Morpheus cybersecurity pipeline, and NVIDIA BlueField as a high-speed, high-fidelity source.Learn More
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 the Triton Inference Engine. Forest inference is also supported via the RAPIDS Forest Inference Library.
Monitor Model Performance
Get real-time metrics on model performance with integrated MLOps.
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 SIEM, SOAR, visualization, or graph tools
Addressing Cybersecurity with AI
See how AI can help manage risks, identify vulnerabilities, and stop breaches in the enterprise.
NVIDIA Morpheus AI Framework Could Revolutionize Cybersecurity
Learn how Morpheus will enable the cybersecurity industry to build more accurate and more efficient protection and monitoring solutions.
Detecting Threats Faster with AI-Based Cybersecurity
See how the latest release of NVIDIA Morpheus enables cybersecurity analysts to more quickly pinpoint and react to threats.
Detecting Cyberthreats with Unsupervised Learning Webinar
Learn how you can use ML to adaptively learn role, user, account behavior independently to identify deviations from typical activity.
Get hands-on experience using Morpheus. Register for the free, 1-hour DLI course: Sensitive Information Detection with Morpheus.