Overview

Advance Cybersecurity and Secure AI Workloads With AI

As AI puts more power in attackers’ hands, defenders need to move faster. NVIDIA brings accelerated computing and AI to every layer of cybersecurity—from earlier threat detection and faster response to protecting sensitive data and IP with zero-trust infrastructure. Its AI frameworks, reference designs, architectures, and best practices give organizations the foundation to build secure, scalable AI data centers.

Stronger AI Agent Security for Every Industry

NVIDIA Open Agent Safety Platform gives enterprises the controls to deploy and scale fleets of AI agents with confidence.

A Trusted Layer for Autonomous AI Agents

NVIDIA Open Agent Safety Platform combines NVIDIA OpenShell™ with NVIDIA Sentry on NVIDIA BlueField™-4  to enforce agent policy across runtime and infrastructure.

Benefits

Advance AI Safety and Security With NVIDIA Technology

Build Agents That Operate Safely

Open models and tools to filter unsafe inputs and outputs, apply programmable safety controls at runtime without retraining, and proactively scan agents for vulnerabilities—so risks are caught and addressed before reaching production.

Enforce In-Silicon Security at AI Agent Speed

NVIDIA purpose-built security processors reinvent cybersecurity for agentic AI, distributing protection across every system so security and performance advance together.

Performant Confidential Computing

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

Let Agents Work Without Compromising Security

A secure runtime enforces declarative policies around file access, network egress, and credentials—so autonomous agents can operate without putting data or infrastructure at risk.

Technology

Explore Our Cybersecurity AI Technologies

NVIDIA’s technologies help enterprises defend their systems and cybersecurity providers strengthen their solutions by leveraging AI and accelerated computing. AI enables efficient processing of large volumes of real-time data, accelerating threat detection and risk identification. NVIDIA also helps organizations secure AI infrastructure, data, and models with safety and security reference designs, networking, and confidential platforms.

Software

NVIDIA OpenShell

  • Build and deploy autonomous, self-evolving agents more safely with an open source runtime, part of NVIDIA Open Agent Safety Platform.
  • Govern agent behavior with sandboxed execution and policy enforcement to safely scale agentic systems for your enterprise.
Hardware and Software

NVIDIA Confidential Computing

  • Protect sensitive data and model IP with hardware-based trusted execution environments, enabling verifiable AI deployment anywhere.
  • Uncover AI insights while ensuring models and data are secure, compliant, and uncompromised.
Hardware

NVIDIA BlueField

  • Go beyond the network perimeter to every server with a zero-trust, security-everywhere architecture, part of NVIDIA Open Agent Safety Platform.
  • Detect runtime attacks using real-time workload visibility‒powered by NVIDIA DOCA™ Argus‒to minimize potential impact and risk.
  • Protect sensitive data with in-silicon security at the speed of AI agents, using NVIDIA DOCA Vault to enforce zero-trust access and reduce exposure.
Models

NVIDIA Nemotron

  • Power cyber-defense agents with highly efficient, open, multimodal models built for long-running autonomous agents.
  • A family of specialized open models for every layer of agent work—frontier reasoning for planning, fast and efficient execution models for high-volume tool calls, and dedicated safety models that detect unsafe content across text and images with high accuracy.
  • Nemotron Safety models detect and filter unsafe inputs and outputs across agentic pipelines, keeping multi-agent cyber systems reliable and aligned.
Blueprints

NVIDIA NemoClaw

  • Open reference stack for specialized agents built with Nemotron open models, a tuned open harness, optimized for accuracy, efficiency, and cost.
  • Build specialized agents you can customize, improve, and run anywhere—using open models, harness, and runtime.
  • Powers specialized agents that work alongside people and other AI agents—from clinical teams and autonomous engineers to enterprise operations and personal assistants.
Software

NVIDIA NeMo

  • Specialize cybersecurity AI agents for continuous threat hunting, red team simulation, and autonomous cyber defense.
  • Orchestrate enterprise-grade guardrails that keep agentic AI applications safe, reliable, and aligned.
  • Scan agents for vulnerabilities—prompt injection, jailbreaks, data leakage—before they reach production.

NVIDIA Open Agent Safety Platform

NVIDIA Open Agent Safety Platform is an open reference system design that combines the NVIDIA OpenShell secure runtime and NVIDIA Sentry with NVIDIA BlueField™-4 in-silicon security enforcement.

Use Cases

How Cybersecurity AI Is Being Used

See how NVIDIA AI and accelerated computing support 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 security AI agents 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.

Anomaly Detection

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.

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, 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 compromised data.

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 a 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 has improved by 20%—with less than a day of training.

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 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. Paired with NVIDIA Spectrum-X™ Ethernet networking, NVIDIA BlueField DPUs create a zero-trust, multi-tenant fabric that secures and isolates AI workloads at scale.

Securing Enterprise AI Agents

Securing AI agents is a nonnegotiable requirement for production deployments, as it provides the critical layer of defense against threats. Unlike conventional software that follows fixed logic, AI agents reason and execute code dynamically, making them susceptible to indirect prompt injection and goal hijacking where malicious instructions are hidden in external data (like emails or PDFs). By isolating an agent’s execution with the NVIDIA OpenShell™ secure runtime, organizations enforce strict zero-trust boundaries and guardrails to protect their data.

NVIDIA AI Security Research

Explore NVIDIA research on securing AI systems and strengthening cyber defense. Through open research and contributions to the Open Secure AI Alliance, NVIDIA shares methods and technical artifacts that help security teams validate findings and build stronger defenses.

Ecosystem

Leading Adopters Across All Industries

Industry leaders from across the AI ecosystem are joining NVIDIA to strengthen AI safety for every industry across the full stack of infrastructure, software, models and robotics

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.

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.

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