What is the official website of NVIDIA Robotics ?

The official website of NVIDIA Robotics is https://www.nvidia.com/en-us/industries/robotics/.

What is NVIDIA Robotics's cybersecurity risk score?

NVIDIA Robotics has an AI-generated cybersecurity risk score of 787 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has NVIDIA Robotics experienced?

According to Rankiteo, NVIDIA Robotics currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has NVIDIA Robotics been affected by any supply chain cyber incidents ?

According to Rankiteo, NVIDIA Robotics has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does NVIDIA Robotics have SOC 2 Type 1 certification ?

According to Rankiteo, NVIDIA Robotics is not certified under SOC 2 Type 1.

Does NVIDIA Robotics have SOC 2 Type 2 certification ?

According to Rankiteo, NVIDIA Robotics does not hold a SOC 2 Type 2 certification.

Does NVIDIA Robotics comply with GDPR ?

According to Rankiteo, NVIDIA Robotics is not listed as GDPR compliant.

Does NVIDIA Robotics have PCI DSS certification ?

According to Rankiteo, NVIDIA Robotics does not currently maintain PCI DSS compliance.

Does NVIDIA Robotics comply with HIPAA ?

According to Rankiteo, NVIDIA Robotics is not compliant with HIPAA regulations.

Does NVIDIA Robotics have ISO 27001 certification ?

According to Rankiteo,NVIDIA Robotics is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does NVIDIA Robotics operate in ?

NVIDIA Robotics operates primarily in the Computer Hardware Manufacturing industry.

How many employees does NVIDIA Robotics have ?

NVIDIA Robotics employs approximately None employees people worldwide.

Does NVIDIA Robotics own any subsidiaries ?

NVIDIA Robotics presently has no subsidiaries across any sectors.

How many LinkedIn followers does NVIDIA Robotics have ?

NVIDIA Robotics's official LinkedIn profile has approximately 419,866 followers.

What is the NAICS classification code for NVIDIA Robotics ?

NVIDIA Robotics is classified under the NAICS code 3341, which corresponds to Computer and Peripheral Equipment Manufacturing.

Does NVIDIA Robotics have a Crunchbase profile ?

No, NVIDIA Robotics does not have a profile on Crunchbase.

Does NVIDIA Robotics have a LinkedIn profile ?

Yes, NVIDIA Robotics maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/nvidiarobotics.

How many cybersecurity incidents has NVIDIA Robotics experienced ?

As of June 23, 2026, Rankiteo reports that NVIDIA Robotics has not experienced any cybersecurity incidents.

How many peer or competitor companies does NVIDIA Robotics have ?

NVIDIA Robotics has an estimated 1,223 peer or competitor companies worldwide.

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NVIDIA Robotics

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787

/1000

Fair

812

/1000

Good

NVIDIA Robotics Vendor Cyber Rating & Cyber Score

nvidia.com

Add Your Compliance Badge

The NVIDIA Robotics platform accelerates the development of AI-driven robots, streamlining processes from design and simulation to deployment. It enables key functions like navigation, mobility, grasping, and vision, supporting robotics across industries such as manufacturing, agriculture, logistics, and healthcare.

NVIDIA Robotics A.I CyberSecurity Scoring

Scoring History

NVIDIA Robotics

NVIDIA Robotics CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

No data available

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A.I.

NVIDIA Robotics Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

Actual

Prediction

Incident Predictions locked

Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

Actual

Prediction A

Prediction B

Prediction C

Prediction D

A.I. Risk Score Predictions locked

Access Monitoring Plan

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Underwriter Stats for NVIDIA Robotics

Incidents vs Computer Hardware Manufacturing Industry Avg (This Year)

No incidents recorded for NVIDIA Robotics in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for NVIDIA Robotics in 2026.

Incident Types NVIDIA Robotics vs Computer Hardware Manufacturing Industry Avg (This Year)

No incidents recorded for NVIDIA Robotics in 2026.

Incident History - NVIDIA Robotics (X = Date, Y = Severity)

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SUBSIDIARY

NVIDIA Robotics Subsidiaries

Parent Company

NVIDIA Robotics

Computer Hardware Manufacturing

Website: https://www.nvidia.com/en-us/industries/robotics/

Company Size: 10,001+ employees

No subsidiary data available for this company.

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NEWS

NVIDIA Robotics CyberSecurity News

Latest updates, reports, and threat intel affecting the global network.

December 24, 2025 07:46 AM

A backdoor in NVIDIA code. Three 9.8 bugs plague AI and robotics development systems

When it comes to cybersecurity, you can never be too careful. Advertisements. Furthermore, when we talk about backdoors (or alleged ones),...

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December 22, 2025 08:00 AM

A comprehensive list of 2025 tech layoffs

A complete list of all the known layoffs in tech, from Big Tech to startups, broken down by month throughout 2024 and 2025.

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December 10, 2025 08:00 AM

Investing in AI beyond the Mag 7

Since the launch of ChatGPT in November 2022, the Magnificent 7 companies have accounted for more than half the S&P 500 Index as AI has...

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December 03, 2025 08:00 AM

EY announces rollout of new physical AI platform, opening of EY.ai Lab and EY Global Robotics and Physical AI leader appointment

EY.ai Physical AI platform, built with NVIDIA accelerated computing at the core, will help clients safely and sustainably deploy advanced...

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November 28, 2025 08:00 AM

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An updated edition of the Oct. 9, 2025, article.Artificial intelligence (AI) is transforming industries by allowing machines to process...

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November 25, 2025 08:00 AM

NVIDIA’s Isaac-GROOT Robotics Platform Vulnerability Let Attackers Inject Malicious Codes

NVIDIA disclosed a code injection vulnerabilities affecting its Isaac-GR00T robotics platform, pose a significant threat to organizations.

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November 25, 2025 08:00 AM

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Nvidia Backs Startups in India Deep Tech Alliance

Nvidia joins U.S. and Indian investors in the India Deep Tech Alliance, committing capital and resources to support startups in AI, robotics...

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CVE

Latest

Global CVEs (Not Company-Specific)

CVE-2026-54236

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, the fix for CVE-2026-22778, which introduced a sanitize_message helper that strips object-repr memory addresses from error messages before they reach the client, is incomplete: several response paths echo str(exc) directly to clients without calling sanitize_message. The unsanitized sites include the Anthropic API router in vllm/entrypoints/anthropic/api_router.py (the POST /v1/messages and POST /v1/messages/count_tokens handlers), the Server-Sent Events streaming converter in vllm/entrypoints/anthropic/serving.py, and the realtime speech-to-text WebSocket in vllm/entrypoints/speech_to_text/realtime/connection.py. These paths catch the exception inside the route coroutine and construct the JSONResponse themselves, bypassing the sanitizing global FastAPI exception handler, and WebSocket frames do not traverse that handler chain at all. Using the same primitive as the parent issue, an unauthenticated attacker can send malformed image bytes through the Anthropic Messages API image content parts so that PIL.Image.open raises an UnidentifiedImageError whose message contains the BytesIO object repr, leaking the heap memory address verbatim in the error.message field of the response body. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 5.3)

cvss3

Base Score: 5.3

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Impact Score

1.4

Exploitability

3.9

REFERENCES

CVE-2026-54235

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, ll temperature validation gates use comparison operators (<, >), which silently evaluate to False for NaN and for positive Infinity in Python's IEEE 754 float semantics. Both values pass every guard and propagate to GPU sampling kernels, where they produce undefined behavior or CUDA errors that can crash the inference worker. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 6.9

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

CVE-2026-54233

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.23.1rc0, vLLM's /v1/audio/transcriptions endpoint limits compressed upload size but not decoded PCM output. A 25MB OPUS file expands to ~14.9GB of float32 PCM at decode time. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 6.5)

cvss3

Base Score: 6.5

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Impact Score

3.6

Exploitability

2.8

REFERENCES

CVE-2026-54232

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.1, the vLLM Dockerfile is vulnerable to a dependency confusion attack through the flashinfer-jit-cache package. The package is installed from a custom index (flashinfer.ai/whl/) using --extra-index-url, but the package name was not registered on PyPI, and UV_INDEX_STRATEGY="unsafe-best-match" is set globally. An attacker who registers flashinfer-jit-cache on PyPI with version 0.6.11.post2 can execute arbitrary code as root during the Docker build and backdoor every resulting container image, enabling exfiltration of all user prompts, API credentials, and model data from production vLLM deployments This vulnerability is fixed in 0.22.1.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: 8.8)

cvss3

Base Score: 8.8

Complexity: LOW

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Impact Score

5.9

Exploitability

2.8

REFERENCES

https://github.com/vllm-project/vllm/security/advisories/GHSA-jrf6-vqxq-pjv2

CVE-2026-53923

SUMMARY

vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.

Published

Date2026-06-22

Updated

Date2026-06-22

RISK INFORMATION (Score: )

cvss4

Base Score: 5.3

Complexity: LOW

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

Impact Score

Exploitability

REFERENCES

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