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.

Benefits

Explore the Benefits of NVIDIA Cybersecurity AI

ccelerated AI Performance

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

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

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

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, 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 cybersecurity AI workflows with Mopheus.
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.
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.
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.
Software

NVIDIA NIM Agent 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.
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.

Use Cases

How Cybersecurity AI Is Being Used

See how NVIDIA AI and accelerated computing supports industry use cases, and jump-start your cybersecurity AI development with reference examples.

Vulnerability Analysis for Container Security

Addressing software security issues is challenging and time consuming, but generative AI can improve vulnerability defense while reducing the burden on security teams. Using NVIDIA NIM and NVIDIA Morpheus, this event-driven RAG application dramatically decreases common vulnerabilities and exposure (CVE) analysis and remediation time from days to just seconds.

Security Vulnerability Analysis AI Workflow

Customer Stories

How Industry Leaders Are Driving Innovation With Cybersecurity AI

American Express uses AI for ultra low latency fraud detection
Financial Services

Preventing Fraud and Foiling Cybercrime With NVIDIA AI

Customer: American Express

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

Fraud Detection Applications Accelerated by NVIDIA GPUs
Public Sector

Leveraging AI Tools to Accelerate Fraud Detection

Customer: IRS

Technologies: NVIDIA AI Enterprise, NVIDIA Rapids

Advancing Security for Large Language Models with NVIDIA GPUs
All Industries

Advancing Security for Large Language Models

Customer: Edgeless Systems

Technologies: Microsoft Azure, NVIDIA Confidential Computing

Adopters

Leading Adopters Across All Industries

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

Accenture
Check Point
Cisco
Cloudflare
CrowdStrike
Deloitte
F5
Fortinet
Juniper
Palo Alto Networks
Trend Micro
Zscaler

Resources

The Latest in Cybersecurity AI Resources

Safety First: Leading Partners Adopt NVIDIA Cybersecurity AI to Safeguard Critical Infrastructure
February 12, 2025
The rapid evolution of generative AI has created countless opportunities for innovation across industry and research. As is often the case with state-of-the-art technology, this evolution has also shifted the landscape of cybersecurity threats, creating new security requirements. Critical infrastructure cybersecurity is advancing to thwart the next wave of emerging threats in the AI era. Read Article
NVIDIA Releases NIM Microservices to Safeguard Applications for Agentic AI
January 16, 2025
AI agents are poised to transform productivity for the world’s billion knowledge workers with “knowledge robots” that can accomplish a variety of tasks. To develop AI agents, enterprises need to address critical concerns like trust, safety, security and compliance. New NVIDIA NIM microservices for AI guardrails — part of the NVIDIA NeMo Guardrails collection of Read Article
NVIDIA Launches DRIVE AI Systems Inspection Lab, Achieves New Industry Safety Milestones
January 07, 2025
A new NVIDIA DRIVE AI Systems Inspection Lab will help automotive ecosystem partners navigate evolving industry standards for autonomous vehicle safety. The lab, launched today, will focus on inspecting and verifying that automotive partner software and systems on the NVIDIA DRIVE AGX platform meet the automotive industry’s stringent safety and cybersecurity standards, including AI functional Read Article

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.

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