# Cybersecurity AI Solutions

## Transform Your Business With Cybersecurity AI

Build accelerated AI-driven solutions to enhance your cybersecurity posture and secure AI infrastructures.

[Explore Technologies](#technology)

[For AI Executives](https://www.nvidia.com/en-us/on-demand/session/gtc24-s62433/?srsltid=AfmBOoqehR5iYeXqe6-kX56QWdzoV6uMj22jZa-GevojL__KpDtVebNz)   |     [For IT](https://blogs.nvidia.com/blog/ai-cybersecurity-flywheel/)    |    [For Developers](https://developer.nvidia.com/topics/ai/cybersecurity-ai/)

### Overview

## Advance Cybersecurity With AI

Cyber threats are growing in number and sophistication. NVIDIA is uniquely positioned to enable organizations to deliver more robust cybersecurity solutions with AI and accelerated computing, enhance threat detection with AI, boost security operational efficiency with generative AI, and protect sensitive data and intellectual property with secure infrastructure. It combines robust AI frameworks, architecture, and best practices to create zero-trust and scalable AI data centers and enhance cybersecurity in the face of heightened security threats.

### How AI-Based Cybersecurity Strengthens Business Resilience

Learn how industries are applying AI techniques to safeguard data, enable faster threat detection, and mitigate attacks to ensure a consistent delivery of service to customers and partners.

[Read Blog](https://blogs.nvidia.com/blog/ai-cybersecurity-business-resilience/)

### NVIDIA Releases NIM Microservices to Safeguard Applications for Agentic AI

NVIDIA NeMo Guardrails includes new NVIDIA NIM microservices to enhance accuracy, security, and control for enterprises building AI across industries.

[Read Blog](https://blogs.nvidia.com/blog/nemo-guardrails-nim-microservices/)

### Benefits

## Explore the Benefits of NVIDIA Cybersecurity AI

### Accelerated AI Performance With 100% Data Visibility

Provides 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.

### Zero-Trust Security With High Performance

Provides a secure and accelerated infrastructure for any workload in any environment, enabling faster data movement and distributed security at each server to usher in a new era of accelerated computing and AI.

### Performant Confidential Computing

Securely uncover revolutionary insights with confidence that data and models remain secure, compliant, and uncompromised—even when sharing datasets or infrastructure with competing or untrusted parties.

### Increased Efficiency With Generative AI

Generative AI integration extends capabilities of security analysts with automation, allowing faster and more accurate security analysis and response.

### Technology

## Explore Our Cybersecurity AI Technologies

Organizations must fully integrate AI to effectively secure it. NVIDIA’s innovative technologies help enterprises and cybersecurity providers strengthen their solutions by leveraging AI and accelerated computing. Cybersecurity is a data problem. AI enables efficient processing of large volumes of real-time data, accelerating threat detection and risk identification. Security analysts can further boost efficiency by integrating generative AI. With accelerated AI in place, organizations can also secure [AI infrastructure](https://www.nvidia.com/en-us/data-center/resources.md), data, and models with networking and confidential platforms.

Software

### NVIDIA Morpheus

* Develop optimized AI pipelines for filtering, processing, and classifying large volumes of real-time data.
* Jump-start development of cybersecurity AI solutions using NVIDIA Blueprints or AI workflows with Mopheus.

[Learn More About Morpheus](https://www.nvidia.com/en-us/ai-data-science/products/morpheus.md)

Solution

### NVIDIA Confidential Computing

* Uncover revolutionary insights with confidence that data and models remain secure, compliant, and uncompromised.
* Performance and security are combined to protect AI at any stage in the data life cycle.

[Learn More About Confidential Computing](https://www.nvidia.com/en-us/data-center/solutions/confidential-computing.md)

Solution

### NVIDIA® BlueField®

* Go beyond the network perimeter to every server with a zero-trust, security-everywhere architecture.
* Detect and stop runtime attacks using real-time workload visibility‒powered by NVIDIA DOCA™ App Shield‒to minimize potential impact and risk.

[Learn More About BlueField](https://www.nvidia.com/en-us/networking/products/data-processing-unit.md)

Software

### NVIDIA NIM™

* Speed up deployment of performance-optimized generative AI models.
* Run your business applications with stable and secure APIs backed by enterprise-grade support.

[Learn More About NIM](https://www.nvidia.com/en-us/ai.md)

Software

### NVIDIA Blueprints

* Quickly get started with reference applications for generative AI use cases.
* Blueprints include partner microservices, one or more AI agents, reference codes, customization documentation, and a Helm chart for deployment.

[Learn More About Blueprints](https://www.nvidia.com/en-us/ai-data-science/ai-workflows.md)

Software

### NVIDIA NeMo™

* Securely build, customize, and deploy large language models (LLMs).
* Deliver enterprise-ready LLMs with precise data curation, cutting-edge customization, retrieval-augmented generation (RAG), and accelerated performance.
* Safeguard organizations overseeing generative AI systems and orchestrate dialog management, ensuring accuracy, appropriateness, and security in smart applications with LLMs.

[Learn More About NeMo](https://www.nvidia.com/en-us/ai-data-science/products/nemo.md)

### Use Cases

## How Cybersecurity AI Is Being Used

See how [NVIDIA AI](https://www.nvidia.com/en-us/solutions/ai.md) and accelerated computing support industry use cases, and jump-start your cybersecurity AI development with reference examples.

1. Security Vulnerability Analysis
2. Anomaly Detection
3. Data Leakage Protection
4. Spear Phishing Detection
5. Zero Trust Architecture
6. Secure AI

### Vulnerability Analysis for Container Security

Addressing software security issues is challenging and time-consuming, but security AI agents can improve vulnerability defense while reducing the burden on security teams. Using [NVIDIA NIM](https://ai.nvidia.com/) and [NVIDIA Morpheus](https://www.nvidia.com/en-us/ai-data-science/products/morpheus.md), this event-driven RAG application dramatically decreases common vulnerabilities and exposure (CVE) analysis and remediation time from days to just seconds.

[Try Now](http://build.nvidia.com/nvidia/vulnerability-analysis-for-container-security)

### Anomaly Detection

Enterprises are faced with an incredibly vast network of data to protect. [NVIDIA Morpheus](https://www.nvidia.com/en-us/ai-data-science/products/morpheus.md) 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](https://developer.nvidia.com/networking/doca) telemetry in NVIDIA-Certified servers, this brings a new level of security to data centers.

[Learn More About Anomaly Detection](https://www.nvidia.com/en-us/ai-data-science/ai-workflows/digital-fingerprinting.md)

### Data Leakage Prevention

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 DPU](https://www.nvidia.com/en-us/networking/products/data-processing-unit.md), pipes raw packets directly to Morpheus. A natural language processing (NLP) model determines if sensitive information—such as passwords and private keys—is being leaked in the packet. Packets are flagged instantaneously, and a recommended action is routed back to DOCA for policy enforcement. These real-time alerts are delivered to the operator so remediation can begin immediately on data that was compromised.

[Watch a Data Leakage Protection Example](https://resources.nvidia.com/en-us-morpheus-developer/detect-cybersecurity-threats-instantly-demo)

### Spear Phishing Detection

Spear phishing, one of the largest and most costly cyber threats, uses targeted and convincing emails. It is difficult to defend against due to lack of training data. NVIDIA Morpheus provides an NLP model that has been trained using synthetic emails generated by NVIDIA NeMo to identify spear phishing attempts. With this, detection of spear phishing emails have improved by 20%—with less than a day of training.

[Learn More About Spear Phishing Detection](https://www.nvidia.com/en-us/ai-data-science/ai-workflows/spear-phishing.md)

### Zero-Trust Architecture

The traditional perimeter-only security model is insufficient in today’s world of expanding threats and zero-day exploits. [NVIDIA BlueField DPUs](https://www.nvidia.com/en-us/networking/products/data-processing-unit.md) and SuperNICs enable distributed security functions, such as firewalls, encryption, microsegmentation, intrusion detection/prevention, and application inspection, to run on every server, enabling a zero-trust security stance in the data center.

[Learn More About Zero Trust](https://blogs.nvidia.com/blog/what-is-zero-trust/)

### Securing AI

In the era of [generative AI](https://www.nvidia.com/en-us/ai-data-science/generative-ai.md), vector databases have become indispensable for storing and querying high-dimensional data efficiently. However, like all databases, vector databases are vulnerable to a range of attacks, including cyber threats, phishing attempts, and unauthorized access. To make encrypted indexing possible on GPUs, the solution uses [NVIDIA Confidential Computing](https://www.nvidia.com/en-us/data-center/solutions/confidential-computing.md) to performantly deliver confidential vector searches.

[Learn More About Protecting and Optimizing Vector Searches](https://developer.nvidia.com/blog/bringing-confidentiality-to-vector-search-with-cyborg-and-rapids-cuvs/)

[Explore All Use Cases](https://www.nvidia.com/en-us/use-cases/?page=1&workloads=Cybersecurity)

### Customer Stories

## How Industry Leaders Are Driving Innovation With Cybersecurity AI

[More Customer Stories](https://www.nvidia.com/en-us/case-studies/?page=1&useCase=Cybersecurity%20%2F%20Fraud%20Detection)

Financial Services

### Preventing Fraud and Foiling Cybercrime With NVIDIA AI

**Customer:** American Express

**Technologies:** NVIDIA DGX™, NVIDIA Triton Inference Server™, NVIDIA TensorRT™

[Read Customer Story](https://www.nvidia.com/en-us/case-studies/american-express-prevents-fraud-and-foils-cybercrime-with-nvidia-ai-solutions.md)

Public Sector

### Leveraging AI Tools to Accelerate Fraud Detection

**Customer:** IRS

**Technologies:** NVIDIA AI Enterprise, NVIDIA Rapids

[Read Customer Story](https://www.nvidia.com/en-us/case-studies/fraud-detection-applications.md)

All Industries

### Advancing Security for Large Language Models

**Customer:** Edgeless Systems

**Technologies:** Microsoft Azure, NVIDIA Confidential Computing

[Read Case Study](https://developer.nvidia.com/blog/advancing-security-for-large-language-models-with-nvidia-gpus-and-edgeless-systems/)

### Adopters

## Leading Adopters Across All Industries

GPU-accelerate top speech, translation, and language workflows to meet enterprise-scale requirements.

### Resources

## The Latest in Cybersecurity AI Resources

1. Blogs
2. Sessions
3. Training
4. Videos

## Cybersecurity News

[See All Tech Blog](https://developer.nvidia.com/blog/search-posts/?categories=Cybersecurity)
[See All Topic News](https://blogs.nvidia.com/blog/tag/cybersecurity/)

Load More

[View More Sessions](https://www.nvidia.com/en-us/on-demand/playlist/playList-902a54e7-d59d-4065-a32b-41e86660f912/)

### Get Started With Cybersecurity AI on NVIDIA LaunchPad

Identify and react to cybersecurity threats faster with AI-based threat detection and alert prioritization. Access a step-by-step guided lab for cybersecurity AI for specific use cases with ready-to-use software, sample data, and applications.

[Apply Now](https://www.nvidia.com/en-us/launchpad/ai/build-ai-based-cybersecurity-solutions.md)

### Get Started With RAG on NVIDIA LaunchPad

Use an NVIDIA AI workflow to adapt an existing foundation model, enabling it to accurately generate responses based on your enterprise data.

[Apply Now](https://www.nvidia.com/en-us/launchpad/ai/generative-ai-chatbot-with-rag.md)

### Elevate Your LLM Skills

Take advantage of our comprehensive LLM learning path, covering fundamental to advanced topics and featuring hands-on training developed and delivered by NVIDIA experts. You can opt for the flexibility of self-paced courses or enroll in instructor-led workshops to earn certificates of competency.

[Explore LLM Training](https://www.nvidia.com/en-us/learn/learning-path/generative-ai-llm.md)

[View More Training](https://www.nvidia.com/en-us/launchpad/cybersecurity.md)

### Supercharge Software Delivery With Event-Driven RAG

Explore Agent Morpheus, an event-driven RAG application built using NVIDIA NIM, NeMo Retriever, and Morpheus.

[Watch Video (01:24)](https://resources.nvidia.com/en-us-morpheus-developer/supercharge-software-delivery)

### AI-Based Threat Detection at Scale

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.

[Watch Video (02:18)](https://resources.nvidia.com/en-us-morpheus-developer/ai-based-detection-demo)

### Data Security With NVIDIA Confidential Computing

Confidential computing has changed how we securely exchange information and is literally creating a safer and more secure world while revolutionizing healthcare, financial services and beyond.

[Watch Video (01:32)](https://images.nvidia.com/aem-dam/Solutions/Data-Center/confidential-computing/hopper-3d-animation-confidential-computing.mp4)

### Next Steps

## Ready to Get Started?

Find everything you need to start developing your cybersecurity AI application, including the latest documentation, tutorials, technical blogs, and more.

[Start Developing](https://developer.nvidia.com/topics/ai/cybersecurity-ai/)

## Get in Touch

Talk to an NVIDIA product specialist about moving from pilot to production with the security, API stability, and support of [NVIDIA AI Enterprise](https://www.nvidia.com/en-us/data-center/products/ai-enterprise.md).

[Contact Us](https://www.nvidia.com/en-us/data-center/products/ai-enterprise/contact-sales.md)

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[Stay Informed](https://www.nvidia.com/en-us/deep-learning-ai/newsletter.md)