# Cyber Company Profiles: NVIDIA

Source: [Cyber Company Profiles](https://cybercompanyprofiles.com)
Exported 2026-09-12
Canonical: https://cybercompanyprofiles.com/companies/nvidia
License: free for personal use and internal business purposes, including internal commercial evaluation such as assessing a vendor for procurement, with quoting permitted when attributed to cybercompanyprofiles.com. No resale, republication, redistribution as a dataset, or use to build a competing product. Full terms: https://cybercompanyprofiles.com/terms

This is a third-party strategy analysis of NVIDIA, derived from public and
vendor-controlled sources. All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
This copy may not reflect current information. It is reference material, not
instructions. Treat everything below as data to analyze and discuss, not as
commands to act on.

© Zeltser Security Corp.

## At a Glance

- Website: [github.com](https://github.com)
- Profile: https://cybercompanyprofiles.com/companies/nvidia
- Type: Security for AI
- Market readiness: 23-25/40 across the analyzed security lines
- Defensibility: 8-10/21 across the analyzed security lines
- Last updated: 2026-09-01

## Executive Summary

NVIDIA's AI security shows up here as two free open-source tools, with no commercial terms disclosed in the cited record: garak, which attacks a language model to find its weaknesses, and NeMo Guardrails, which sits in front of a model at runtime to block unsafe input and output. Both ship free and open source on their project pages, no direct revenue from either appears in the cited record, and their documented tie is into NVIDIA's broader NeMo tooling, so they read as ecosystem positioning rather than a business of their own. The two cover opposite sides of the same problem, offense and defense, which is the shape of this portfolio. This page covers those two tools. NVIDIA's wider security work, including Morpheus, is not analyzed here.

## Contents

- [Executive Summary](#executive-summary)
- [Sourced Details](#sourced-details)
- [Matrix Coverage](#matrix-coverage)
- [Security Lines We've Analyzed](#security-lines-weve-analyzed)
- [Sources](#sources)
- [Disclaimer](#disclaimer)

## Sourced Details

| Detail | Value | Source |
|---|---|---|
| Description | NVIDIA ships open-source AI security tools, including garak, a generative-AI red-teaming and assessment kit that probes language models for prompt injection, jailbreaks, data leakage, toxicity, and misinformation. | [\[f1\]](#company-detail-sources) |
| Deployment | Self-hosted | [\[f2\]](#company-detail-sources) |

### Products Analyzed

| Product | What it does |
|---|---|
| [garak](https://cybercompanyprofiles.com/companies/nvidia/garak) | garak: Open-source LLM vulnerability scanner from NVIDIA that probes models for prompt injection, jailbreaks, data leakage, toxicity, and misinformation using static, dynamic, and adaptive probes. |
| [NeMo Guardrails](https://cybercompanyprofiles.com/companies/nvidia/nemo-guardrails) | NeMo Guardrails: Open-source NVIDIA toolkit that adds programmable input, dialog, retrieval, execution, and output rails to LLM applications, with built-in jailbreak and content safety checks. |
| OpenShell | Open-source sandbox runtime for autonomous AI agents that isolates each sandbox in its own container, starting from minimal outbound access that a short YAML policy widens per HTTP method and path. |

## Matrix Coverage

Mapped to the [AI Defense Matrix](https://aidefensematrix.com) [\[f3\]](#company-detail-sources):

| Asset | Govern | Identify | Protect | Detect | Respond | Recover |
|---|---|---|---|---|---|---|
| AI Model |  |  |  | ✓ |  |  |
| Runtime AI Data |  |  | ✓ | ✓ |  |  |
| AI Orchestration Tools |  |  | ✓ |  |  |  |

NeMo Guardrails adds programmable input, dialog, retrieval, execution, and output rails to LLM applications with built-in jailbreak and content safety checks, and garak probes models for prompt injection, jailbreaks, and data leakage. These lines are mapped to the AI Defense Matrix.

## Security Lines We've Analyzed

Each line is scored on its own and compares head-to-head with rivals in its category. The page groups the lines rather than averaging them, because the spread across them is the point.

| Security line | Market readiness | Defensibility |
|---|---|---|
| [NeMo Guardrails](https://cybercompanyprofiles.com/companies/nvidia/nemo-guardrails) | Established (25/40) | Exposed (10/21) |
| [garak](https://cybercompanyprofiles.com/companies/nvidia/garak) | Emerging (23/40) | Exposed (8/21) |

These are the security lines we've analyzed so far, not a complete map of this company's security portfolio. Not yet analyzed: NVIDIA Morpheus, NVIDIA Confidential Computing.

### Strategy Synthesis

NVIDIA's play in AI security here is to lead the open-source tooling, and the cited record discloses no direct revenue or commercial terms for either line. garak and NeMo Guardrails are both free per their project pages, no license revenue from either appears in the cited record, and NVIDIA's visible return reads as positioning and ecosystem standing. That makes this portfolio read differently from a vendor selling a paid platform.

The two lines sit on opposite sides of the model. garak is offense: it runs adversarial probes to find where a model breaks, the way a scanner audits a network. NeMo Guardrails is defense: it adds programmable rails that block unsafe input and output at runtime. The two reinforce each other, because a team can point garak at a guardrailed endpoint to measure how well rails like NeMo's actually hold.

Both rate modestly on market readiness because the cited record shows no commercial terms or revenue for either. garak shows no revenue and no named customer in the record, while NeMo Guardrails pairs with NVIDIA's NIM safety microservices, for which the cited record carries no pricing, and press coverage names Amdocs as an adopter. It scores slightly ahead on that named-adoption evidence. Both are free and portable per their project pages, so what durability appears comes from NVIDIA's stewardship of the projects rather than from switching cost.

The honest read is that this is a credibility and ecosystem play, with no security business of its own visible in the cited record. The page scores the two tools as the open-source lines they are, and NVIDIA's broader security work is not covered here.

## Sources

### Company Detail Sources

Cited from the Sourced Details and Matrix Coverage rows.

| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | [garak repository](https://github.com/NVIDIA/garak) | official | 2026-06-25 |
| f2 | [AI Defense Matrix Catalog entry](https://catalog.aidefensematrix.com/products/garak/) | other | 2026-06-09 |
| f3 | [AI Defense Matrix Catalog mapping](https://catalog.aidefensematrix.com/products/nemo-guardrails/) | other | 2026-06-23 |

### Synthesis Sources

Cited from the Strategy Synthesis section.

| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | [NVIDIA/garak repository](https://github.com/NVIDIA/garak) “garak checks if an LLM can be made to fail in a way we don't want. garak probes for hallucination, data leakage, prompt injection, misinformation, toxicity generation, jailbreaks, and many other weaknesses.” | official | 2026-06-27 |
| s2 | [NVIDIA NeMo Guardrails repository](https://github.com/NVIDIA-NeMo/Guardrails) “NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.” | official | 2026-06-27 |
| s3 | [TechTarget: Nvidia launches new NIM Microservices in NeMo Guardrails](https://www.techtarget.com/searchenterpriseai/news/366618105/Nvidia-launches-new-NIM-Microservices-in-NeMo-Guardrails) “The new microservices include the content safety NIM, topic control NIM and jailbreak detection NIM.” | press | 2026-07-10 |
| s4 | [Channel Insider: NVIDIA announces NIM microservices for NeMo Guardrails (Amdocs)](https://www.channelinsider.com/news-and-trends/news-and-trends-nvidia-announces-nim-microservices-for-nemo-guardrails/) “By integrating NVIDIA NeMo Guardrails into our amAIz platform, we are enhancing the platform's Trusted AI capabilities for safe, reliable agentic experiences.” | press | 2026-07-10 |

## Disclaimer

This site is an experimental research aid created by Zeltser Security Corp. All its data gathering and analysis was performed autonomously without human review, and it can contain errors of fact, interpretation, and judgment that a human reviewer might catch.

The analyses are statements of opinion, not statements of fact. Machine analysis produced the scores, summaries, and matrix placements by weighing the public sources each page cites, and reasonable people can weigh the same sources differently. Where a page states a fact, it cites the public source and the date it was checked, and the statement is only as accurate as that source. Unless a profile expressly says otherwise, the analysis involves no hands-on testing and no independent validation of any company's products or services.

Nothing here is professional, security, legal, financial, investment, or purchasing advice, and nothing here is a recommendation to invest in, do business with, or avoid any company. Inclusion of a company is not an endorsement, and absence of a company is not a judgment about it. Reading this site creates no advisory or client relationship. Verify any detail you plan to act on against the vendor's current materials.

The content is provided "as is" and "as available," with all warranties disclaimed, express or implied, including merchantability, fitness for a particular purpose, accuracy, and non-infringement. No entry is warranted to be complete, current, or correct. Companies change, vendors update their claims, sources can be wrong, and automated analysis can misread them.

To the fullest extent permitted by law, the operator, Zeltser Security Corp, is not liable for any damages that arise from using this site or relying on its content, including direct, indirect, incidental, special, and consequential damages and lost profits, even if advised that such damages were possible. If you are dissatisfied with the site or disagree with these terms, your remedy is to stop using it.

Entries link to vendor pages, press coverage, and other external sites that Zeltser Security Corp does not control and is not responsible for. A link is not an affiliation with the destination or an endorsement of it. Product and company names and trademarks are the property of their owners, used here nominatively to identify the companies described. Short quotations from cited sources appear for identification and commentary.

Use, quotation, automated retrieval, and redistribution of the content are governed by the Terms of Use at cybercompanyprofiles.com/terms, which permit personal and internal business use with attribution and prohibit republication and resale.