As the digital universe expands, cyber threats are growing in number and sophistication. Organizations are responding with AI, finding threats within massive amounts of data and building systems that embody a zero-trust, security-everywhere architecture—taking security beyond the data center perimeter to the edge of every server.
Zero-Trust, Real-Time, Threat Detection at Scale
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Get access to an NVIDIA AI workflow to uniquely fingerprint every user and machine across the network. Access a free hands-on lab to experience deploying and customizing NVIDIA digital fingerprinting workflow components, and learn how to integrate them with cloud-native Kubernetes services.
Building Stronger, Smarter Security With NVIDIA
Streamlined AI
Rapidly customize and deploy cybersecurity solutions using industry-standard APIs in NVIDIA AI frameworks.
Accelerated AI Performance
Enable AI inference and real-time monitoring of every server, packet, user, and machine across the entire network with GPU-accelerated performance that’s up to 600X faster than CPU-only servers.
High-Performance Networking
Offload, accelerate, and isolate advanced networking, storage, and security services with NVIDIA® BlueField® DPUs.
Deploy with Confidence
Use NVIDIA-Certified Systems™ to confidently deploy hardware solutions that securely and optimally run modern accelerated workloads.
Cybersecurity Use Cases
- Behavior Analytics
- Leaked Sensitive Data
- Fraud Detection
- Phishing Detection
- Ransomware
Enterprises are faced with an incredibly vast network of data to protect. NVIDIA Morpheus enables digital fingerprinting through monitoring of every user, service, account, and machine across the enterprise data center to determine when suspicious interactions occur. Combined with NVIDIA GPU and DPU accelerators and NVIDIA DOCA™ telemetry in NVIDIA-Certified servers, this brings a new level of security to data centers.
Traditional ways of detecting leaked sensitive data rely on static, rules-based models, which are limited by the quality of training data. Instead, NVIDIA Morpheus examines raw packet information as it’s generated for potential leakage. The DOCA telemetry agent, residing on the NVIDIA BlueField-2 DPU, pipes raw packets directly to Morpheus. A natural language processing (NLP) model determines if sensitive information—such as passwords and private keys—is leaked in the packet. Packets are flagged instantaneously, and a recommended action is routed back to DOCA. These real-time alerts are delivered to the operator, so remediation can begin immediately on data that was compromised.
Detecting fraud typically requires massive amounts of labeled data, as well as domain experts to process and label that data. This limits this type of fraud detection to organizations where such investment can be made. Using graph neural networks, Morpheus unlocks a capability that was not feasible before without massive amounts of labeled data. It achieves high-accuracy results with a fraction of the labeled data previously required. This enables organizations to detect fraud at a fraction of the cost, resulting in potentially hundreds of millions of dollars saved.
Phishing attacks remain one of the top-three initial infection vectors for ransomware and malware. This has been exacerbated by the trend toward remote work and schooling, which has expanded the attack surface. NVIDIA Morpheus’s cybersecurity AI framework provides an NLP model that analyzes emails to identify phishing attempts. Morpheus can analyze the entire raw body of an email, just the URLs in the email, or both using a custom sequence classifier built into the Cyber Log Accelerators (CLX)—one of the building blocks of Morpheus.
Ransomware is among the most costly types of cybersecurity breaches. Incidents have increased globally as threat actors have become more sophisticated in their attacks, and attacks could become more frequent if they yield financial returns. NVIDIA Morpheus provides the optimal AI and machine learning-based cybersecurity pipeline to modern enterprise data centers, combined with NVIDIA BlueField as a high-speed, high-fidelity source and NVIDIA AppShield to identify and stop ransomware at the point of entry.
Get in Front of Cybersecurity Threats
Enable Zero-Trust Security
NVIDIA BlueField DPUs enable a zero-trust, security-everywhere architecture that goes beyond the data center perimeter to the edge of every server. In the face of a broad and ever-changing cyber threat landscape, BlueField DPUs minimize the attack surface and provide a secure foundation for protecting applications, data, users, and devices.
Accelerate Application Development
The NVIDIA DOCA software framework lets developers easily create high-performance, software-defined, cloud-native, DPU-accelerated services using industry-standard APIs.
Unify Networking and Compute
NVIDIA converged accelerators combine the powerful performance of the NVIDIA Ampere architecture with the enhanced security and latency-reduction capabilities of the NVIDIA BlueField-2 DPU. Enterprises can use converged accelerators to create faster, more efficient, and secure AI systems in data centers and at the edge.
Accelerate Real-Time Threat Detection
NVIDIA Morpheus enables cybersecurity developers and independent software vendors to build high-performance pipelines for security workflows with minimal development effort. This results in the detection of threats in real time, with the ability to leverage AI to adjust to threats and compensate on the fly.
Secure AI Workloads in Use
Leverage NVIDIA confidential computing, introduced in the NVIDIA Hopper architecture, to protect the confidentiality and integrity of your entire workload during execution—from cloud to edge. Hardware-based security and isolation prevents unauthorized entities, including hypervisors, the host OS, cloud providers, or anyone with physical access to infrastructure, from viewing or modifying sensitive data, proprietary AI models, and applications in use.
NVIDIA’s Zero-Trust Cybersecurity Platform
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