What is the official website of NVIDIA AI ?

The official website of NVIDIA AI is http://nvda.ws/2nfcPK3.

What is NVIDIA AI's cybersecurity risk score?

NVIDIA AI has an AI-generated cybersecurity risk score of 753 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has NVIDIA AI experienced?

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

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

According to Rankiteo, NVIDIA AI has been affected by multiple supply chain cyber incidents. The affected supply chain sources and their corresponding incident IDs are: ServiceNow (Incident ID: SER1781072827) GFN Cloud Internet Servies (Incident ID: NVI1777818242) GFN Cloud Internet Servies (Incident ID: GFN1778300632) LUXSHARE-ICT (Incident ID: GEENVILUX1769153015) LUXSHARE-ICT (Incident ID: NVILUX1768977485) LUXSHARE-ICT Taiwan (Incident ID: LUX1769023968) LUXSHARE-ICT Taiwan (Incident ID: LUXNVITES1769024668) LUXSHARE-ICT Taiwan (Incident ID: LUXNVI1769024063)

Does NVIDIA AI have SOC 2 Type 1 certification ?

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

Does NVIDIA AI have SOC 2 Type 2 certification ?

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

Does NVIDIA AI comply with GDPR ?

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

Does NVIDIA AI have PCI DSS certification ?

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

Does NVIDIA AI comply with HIPAA ?

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

Does NVIDIA AI have ISO 27001 certification ?

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

Which industry does NVIDIA AI operate in ?

NVIDIA AI operates primarily in the Computer Hardware Manufacturing industry.

How many employees does NVIDIA AI have ?

NVIDIA AI employs approximately 1 people worldwide.

Does NVIDIA AI own any subsidiaries ?

NVIDIA AI presently has no subsidiaries across any sectors.

How many LinkedIn followers does NVIDIA AI have ?

NVIDIA AI's official LinkedIn profile has approximately 1,646,174 followers.

What is the NAICS classification code for NVIDIA AI ?

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

Does NVIDIA AI have a Crunchbase profile ?

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

Does NVIDIA AI have a LinkedIn profile ?

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

How many cybersecurity incidents has NVIDIA AI experienced ?

As of June 23, 2026, Rankiteo reports that NVIDIA AI has experienced 22 cybersecurity incidents.

How many peer or competitor companies does NVIDIA AI have ?

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

What types of cybersecurity incidents has NVIDIA AI faced ?

Incident Types: The types of cybersecurity incidents that have occurred include Ransomware, Breach, Vulnerability and Cyber Attack.

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NVIDIA AI

Boost Score +25 with badge (5 left)

753

/1000

Fair

778

/1000

Fair

NVIDIA AI Vendor Cyber Rating & Cyber Score

nvda.ws

Add Your Compliance Badge

Explore the latest breakthroughs made possible with AI. From deep learning model training and large-scale inference to enhancing operational efficiencies and customer experience, discover how AI is driving innovation and redefining the way organizations operate across industries.

NVIDIA AI A.I CyberSecurity Scoring

Scoring History

NVIDIA AI

NVIDIA AI CyberSecurity News & History

Past Incidents

Attack Types

Entity

Type

Severity

Impact

Seen

Blog Details

Supply Chain Source

Incident Details

View

NVIDIA

Vulnerability

6/2026

NVI1781685010

NVIDIA

Vulnerability

6/2026

ServiceNow

SER1781072827

NVIDIA

Cyber Attack

100

5/2026

OKTMICATTNVI178...

NVIDIA

Vulnerability

5/2026

NVI1779301531

NVIDIA

Breach

5/2026

GFN Cloud Inter...

NVI1777818242

NVIDIA

Breach

3/2026

GFN Cloud Inter...

GFN1778300632

NVIDIA

Vulnerability

1/2026

NVI1769776911

NVIDIA

Cyber Attack

100

12/2025

KUBNVITENALIAMA...

NVIDIA AI

Vulnerability

7/2025

NVI556071425

NVIDIA

Vulnerability

6/2025

NVI1769009245

NVIDIA

Vulnerability

6/2025

NVI1769095320

NVIDIA AI

Vulnerability

100

6/2025

NVI251080925

NVIDIA

Vulnerability

1/2025

NVI1769023427

NVIDIA AI

Vulnerability

100

6/2024

NVI108041225

NVIDIA

Cyber Attack

100

10/2022

SAMNVI177578132...

NVIDIA AI

Cyber Attack

02/2022

NVI202626222

NVIDIA

Cyber Attack

6/2019

LUXSHARE-ICT

GEENVILUX176915...

NVIDIA

Cyber Attack

6/2019

LUXSHARE-ICT

NVILUX176897748...

NVIDIA

Ransomware

100

6/2019

LUXSHARE-ICT Ta...

LUX1769023968

NVIDIA

Ransomware

100

6/2019

LUXSHARE-ICT Ta...

LUXNVITES176902...

NVIDIA

Ransomware

100

6/2019

LUXSHARE-ICT Ta...

LUXNVI176902406...

NVIDIA AI

Breach

10/2014

NVI431072925

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A.I.

NVIDIA AI 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 AI

Incidents vs Computer Hardware Manufacturing Industry Avg (This Year)

No incidents recorded for NVIDIA AI in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for NVIDIA AI in 2026.

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

No incidents recorded for NVIDIA AI in 2026.

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

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SUBSIDIARY

NVIDIA AI Subsidiaries

NVIDIA AI

Computer Hardware Manufacturing

Website: http://nvda.ws/2nfcPK3

Company Size: 10,001+ employees

NVIDIAComputer Hardware Manufacturing

NVIDIA WorkstationDesktop Computing Software Products

NVIDIA University RecruitingComputer Hardware Manufacturing

NVIDIA DRIVEComputer Hardware Manufacturing

NVIDIA OmniverseSoftware Development

NVIDIA RoboticsComputer Hardware Manufacturing

NVIDIA Data CenterComputer Hardware Manufacturing

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NVIDIA AI Similar Companies

ASUS

asus.com

ASUS is a global technology leader delivering incredible experiences that enhance the lives of people everywhere. World renowned for continuously reimagining today’s technologies for tomorrow, ASUS puts users first In Search of Incredible to provide the world’s most innovative and intuitive devices, components, and solutions. Today’s ASUS is more ambitious than ever, unleashing remarkable gaming, content-creation, AIoT, and cloud solutions that solve user needs and infuse delight. ASUS is home to industry-leading experts who are encouraged to pursue their passion for innovation and entrepreneurial spirit to deliver the future of technology to the world. With a team of 5,000 in-house R&D colleagues, ASUS received more than 11 awards every day in 2020 and is ranked as one of Fortune’s World’s Most Admired Companies. Working together as One Team, ASUS team members strive to transform and evolve, trust in radical truth and transparency, and embrace idea meritocracy and foster collective wisdom in the limitless pursuit of the incredible. And because tomorrow's experiences start with today’s actions, the people of ASUS are setting new industry standards and delivering on a strong commitment to environmental and community stewardship every day. At ASUS, every individual can find the opportunity to push the limits of what is yet to be imagined, and to make it real. To learn more about our aspirations and what we offer, visit asus.com/about-asus/

Seagate Technology

seagate.com

Seagate is a leader in mass-capacity data storage. We’ve delivered more than four and a half billion terabytes of capacity over the past four decades. We make storage that scales, bringing trust and integrity to innovations that depend on data. In an era of unprecedented creation, Seagate stores infinite potential. Unlock the full value of your data today.

Western Digital

westerndigital.com

At Western Digital, our vision is to unleash the power and value of data. For decades, we have been at the forefront of storage innovation, which fuels our mission to be the market leader in data storage, delivering solutions for now and the future. We are committed to providing scalable, sustainable technology for the world’s hyperscalers, enterprises, and cloud providers, and delivering cutting-edge innovation that will drive the next generation of AI-driven data workloads. All that we do is powered by our people, who are united in a common purpose of creating solutions that move the world forward. Learn more at www.westerndigital.com.

NVIDIA

nvidia.com

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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NEWS

NVIDIA AI CyberSecurity News

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

December 23, 2025 12:00 PM

Strategic AI Partnerships: Transforming the Future of Cybersecurity

Vancouver, Kelowna, and Delta, British Columbia--(Newsfile Corp. - December 23, 2025) - Investorideas.com (www.investorideas.com) a leader...

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December 17, 2025 08:39 PM

Fortinet and Nvidia integrate cloud firewall with data processing unit for AI security

Fortinet Inc. has announced a new integrated solution that embeds its FortiGate-VM virtual cloud firewall directly onto Nvidia's BlueField-3...

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December 16, 2025 08:00 AM

Cybersecurity Stocks Today: Okta Rallies on Jefferies Upgrade as Palo Alto Warns on AI Cloud Attacks and Fortinet Targets NVIDIA “AI Factory” Security (Dec. 16, 2025)

Cybersecurity Stocks Today: Okta Rallies on Jefferies Upgrade as Palo Alto Warns on AI Cloud Attacks and Fortinet Targets NVIDIA “AI...

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November 17, 2025 08:00 AM

Critical RCE Vulnerabilities in AI Inference Engines Exposes Meta, Nvidia and Microsoft Frameworks

As artificial intelligence infrastructure rapidly expands, critical security flaws threaten the backbone of enterprise AI deployments.

Read Article

November 14, 2025 08:00 AM

Researchers Find Serious AI Bugs Exposing Meta, Nvidia, and Microsoft Inference Frameworks

Cybersecurity researchers have uncovered critical remote code execution vulnerabilities impacting major artificial intelligence (AI)...

Read Article

November 07, 2025 04:24 AM

CrowdStrike, AWS, NVIDIA now taking applications for Cybersecurity Startup Accelerator

CrowdStrike, Amazon Web Services (AWS), and NVIDIA on Monday launched the third annual Cybersecurity Startup Accelerator and together will provide...

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November 06, 2025 08:00 AM

AI Security: Check Point and Nvidia’s Cloud Protect Platform

Check Point and Nvidia launch AI Cloud Protect to address prompt injection, model poisoning and data leakage in enterprise AI...

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November 04, 2025 08:00 AM

CrowdStrike, AWS & NVIDIA expand global accelerator for AI security

CrowdStrike, AWS and NVIDIA expand a global accelerator to support early-stage AI-driven cybersecurity startups with mentorship,...

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November 03, 2025 08:00 AM

How Code Execution Drives Key Risks in Agentic AI Systems | NVIDIA Technical Blog

AI-driven applications are evolving from passive tools to agentic systems that generate code, make decisions, and take autonomous actions.

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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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