NVIDIA Morpheus Tutorial
Cut down on the time and expense required to recognise, record, and respond to threats and irregularities.
What is NVIDIA Morpheus?
With the help of the GPU-accelerated, end-to-end AI framework NVIDIA Morpheus, enterprise developers can create, modify, and grow cybersecurity solutions more affordably and anywhere. The Morpheus development framework can be explained as an API, which enhances the capabilities of human analysts with generative AI for maximum efficiency and offers the ability to analyse massive amounts of data in real time for quicker detection.
The Benefits of NVIDIA Morpheus
Executives
100% Visibility of Data for Real-Time Threat Detection
Businesses may examine and analyse all data and traffic throughout the network, including data centres, edges, gateways, and centralised compute, to the maximum speed that Morpheus GPU acceleration offers on a large scale.
Increase Productivity With Generative AI
Morpheus expands the capabilities of security analysts by including generative AI powered by NVIDIA NeMo. This enables quicker automated detection and reaction, creates synthetic data to train AI models that more precisely identify dangers, and performs “what-if” scenarios to avert possible threats.
Improved Efficiency at a Reduced Price
By using inferencing and GPU acceleration, the only cybersecurity AI framework can scale up to 600X faster than CPU-only solutions, cutting detection times from weeks to minutes and significantly decreasing operating expenses.
AI-Powered Cybersecurity in One Place
An all-in-one SDK toolkit with GPU acceleration that uses AI to handle a variety of cybersecurity use cases and make management easier. Use pre-built models or deploy your own to construct security copilots with generative AI capabilities, fight ransomware and phishing assaults, and anticipate and identify threats.
Enterprise-Grade AI
For enterprise-grade AI, security, dependability, and management are essential. An end-to-end, cloud-native software platform, NVIDIA AI Enterprise speeds up data science pipelines and simplifies the creation and implementation of production-grade AI applications, such as computer vision, speech AI, generative AI, and more.
Developers
Simple Development and Implementation
From data preparation to training, inference, and at-scale deployments, Morpheus, which is open source on GitHub, incorporates AI frameworks and tools to facilitate developers’ creation of cybersecurity solutions. Morpheus also provides pre-trained models and workflows for a range of cybersecurity application cases for a fast start.
Versatile and Flexible
The only cybersecurity framework that can use a data processing unit (DPU) to view all network traffic and log files is Morpheus. Morpheus can be installed in the data centre, on the edge, or in the cloud and can manage a very broad range of data types. Developers may quickly switch in newer models without disrupting their pipeline or combine their current models with Morpheus for inferencing.
Real-Time Telemetry
In addition to receiving telemetry from network devices, log sources, conventional file stores, structured data stores, and anything else with easily writeable custom stages, Morpheus offers streaming data ingest tools for high-volume, high-velocity, low-latency data stores. By incorporating the framework into third-party cybersecurity solutions, all networks can benefit from the greatest AI computing available.
Reduce Development Time With AI Processes
Users can begin developing AI-based cybersecurity solutions with the use of NVIDIA cybersecurity AI workflows. Helm charts for cloud-native deployment, training and inference pipelines, and instructions on how to train and adapt the solution for a particular use case are all included in the workflows package for NVIDIA AI frameworks. The procedures can boost confidence in AI results, enhance accuracy and performance, and cut down on development time and expenses.
Starting Options
Learn How to Use NVIDIA Morpheus
To assist you in developing and implementing AI-based cybersecurity solutions, use the appropriate technologies.
Start Using AI Workflows or Open-Source Code for Development
There are two ways for people to get started for free if they want to use Morpheus’ packaged AI workflows and open-source code for development:
Access Open-Source Code:
NVIDIA’s open-source software on GitHub is available to those who want to build from source and take advantage of the newest pre-release capabilities.
Download AI Workflows:
NVIDIA’s bundled AI workflows on NVIDIA NGC are ideal for individuals who want to get started quickly while developing cybersecurity solutions.
Try Before You Buy
There are two free ways for businesses to get started with Morpheus before investing in NVIDIA AI Enterprise for production:
Without Infrastructure:
Through NVIDIA LaunchPad, NVIDIA provides free hands-on labs for people without any existing infrastructure.
With Infrastructure:
NVIDIA provides a complimentary 90-day evaluation license for individuals who already have infrastructure.
Cybersecurity AI Framework
A framework for real-time inference across vast volumes of cybersecurity data is offered by Morpheus.
Because Morpheus is data agnostic, it can send and receive telemetry data from a variety of sources, including an NVIDIA BlueField DPU. This enables constant, variable, and real-time feedback that may be used to modify policies, rewrite rules, modify sensing, and carry out other tasks.
Bring Your Own Model
Incorporate Current Code
Morpheus for inferencing allows you to easily incorporate your current models. Replace outdated models without causing any disruptions to your process.
Supported Common Formats
Utilise popular deep learning frameworks with NVIDIA Triton Inference Server support, such as ONNX, PyTorch, TensorFlow, and NVIDIA TensorRT. The RAPIDS Forest Inference Library also facilitates forest inference.
Monitor Model Performance
With interoperability across your MLOps platform, you may obtain real-time analytics on model performance.
Fine-Tune Scripts
Use foundation scripts that can be tailored to your environment to improve accuracy and decrease false positives.
Built for Customized Integrations
Simple integration with pre-existing visualisation, graph, security orchestration, automation, and response (SOAR), and security information and event management (SIEM) solutions.
