What is the official website of NVIDIA GTC ?

The official website of NVIDIA GTC is http://www.nvidia.com/gtc.

What is NVIDIA GTC's cybersecurity risk score?

NVIDIA GTC has an AI-generated cybersecurity risk score of 765 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has NVIDIA GTC experienced?

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

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

According to Rankiteo, NVIDIA GTC 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 GTC have SOC 2 Type 1 certification ?

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

Does NVIDIA GTC have SOC 2 Type 2 certification ?

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

Does NVIDIA GTC comply with GDPR ?

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

Does NVIDIA GTC have PCI DSS certification ?

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

Does NVIDIA GTC comply with HIPAA ?

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

Does NVIDIA GTC have ISO 27001 certification ?

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

Which industry does NVIDIA GTC operate in ?

NVIDIA GTC operates primarily in the Software Development industry.

How many employees does NVIDIA GTC have ?

NVIDIA GTC employs approximately None employees people worldwide.

Does NVIDIA GTC own any subsidiaries ?

NVIDIA GTC presently has no subsidiaries across any sectors.

How many LinkedIn followers does NVIDIA GTC have ?

NVIDIA GTC's official LinkedIn profile has approximately 74,027 followers.

What is the NAICS classification code for NVIDIA GTC ?

NVIDIA GTC is classified under the NAICS code 5112, which corresponds to Software Publishers.

Does NVIDIA GTC have a Crunchbase profile ?

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

Does NVIDIA GTC have a LinkedIn profile ?

Yes, NVIDIA GTC 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-gtc.

How many cybersecurity incidents has NVIDIA GTC experienced ?

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

How many peer or competitor companies does NVIDIA GTC have ?

NVIDIA GTC has an estimated 30,159 peer or competitor companies worldwide.

What types of cybersecurity incidents has NVIDIA GTC faced ?

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

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NVIDIA GTC

Boost Score +25 with badge (5 left)

765

/1000

Fair

790

/1000

Fair

NVIDIA GTC Vendor Cyber Rating & Cyber Score

nvidia.com

Add Your Compliance Badge

What's next in AI starts here. GTC is where developers, researchers, business leaders, creators, IT decision-makers, and students gather to learn how to shape our world with the power of AI, computer graphics, data science, and more. Come explore the latest technology and business trends and learn from experts on how AI is profoundly impacting industries and society as a whole.

NVIDIA GTC A.I CyberSecurity Scoring

Scoring History

NVIDIA GTC

NVIDIA GTC 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 GTC

Vulnerability

7/2025

NVI556071425

NVIDIA

Vulnerability

6/2025

NVI1769009245

NVIDIA

Vulnerability

6/2025

NVI1769095320

NVIDIA GTC

Vulnerability

100

6/2025

NVI251080925

NVIDIA

Vulnerability

1/2025

NVI1769023427

NVIDIA GTC

Vulnerability

100

6/2024

NVI108041225

NVIDIA

Cyber Attack

100

10/2022

SAMNVI177578132...

NVIDIA GTC

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 GTC

Breach

10/2014

NVI431072925

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A.I.

NVIDIA GTC 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 GTC

Incidents vs Software Development Industry Avg (This Year)

No incidents recorded for NVIDIA GTC in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for NVIDIA GTC in 2026.

Incident Types NVIDIA GTC vs Software Development Industry Avg (This Year)

No incidents recorded for NVIDIA GTC in 2026.

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

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SUBSIDIARY

NVIDIA GTC Subsidiaries

NVIDIA GTC

Software Development

Website: http://www.nvidia.com/gtc

Company Size: 10,001+ employees

NVIDIA AIComputer Hardware Manufacturing

NVIDIA for StartupsTechnology, Information and Internet

NVIDIA RoboticsComputer Hardware Manufacturing

NVIDIA Data CenterComputer Hardware Manufacturing

NVIDIA Design and VisualizationDesign Services

NVIDIA University RecruitingComputer Hardware Manufacturing

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NEWS

NVIDIA GTC CyberSecurity News

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

March 02, 2026 08:00 AM

Analysts back our views on cybersecurity — plus, Cramer puts out a notice on Nvidia

The Investing Club holds its "Morning Meeting" every weekday at 10:20 a.m. ET.

Read Article

February 25, 2026 08:00 AM

Anthropic's AI tool sparks cybersecurity panic

Cybersecurity stocks tumbled after Anthropic unveiled a new vulnerability scanner, prompting vendors to defend their runtime protection...

Read Article

February 25, 2026 08:00 AM

Nvidia deploys AI-driven cybersecurity to protect critical infrastructure

Nvidia is extending its enterprise infrastructure strategy into operational technology (OT) cybersecurity, applying accelerated computing...

Read Article

February 23, 2026 08:00 AM

NVIDIA Brings AI-Powered Cybersecurity to World’s Critical Infrastructure

Akamai, Forescout, Palo Alto Networks, Xage Security and Siemens integrate NVIDIA accelerated computing and AI to advance OT cybersecurity.

Read Article

February 23, 2026 08:00 AM

Nvidia Advances OT Cybersecurity with AI and Accelerated Computing

Partnerships**: Nvidia is collaborating with leading cybersecurity firms including Akamai, Palo Alto Networks, Forescout, Xage Security,...

Read Article

January 08, 2026 08:00 AM

CrowdStrike buys identity security startup SGNL for $740 million in latest deal push

Last year's big cybersecurity deals include Google's $32 billion Wiz acquisition and Palo Alto Networks' $25 billion CyberArk takeover.

Read Article

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China's top cybersecurity regulator has called Nvidia in for questioning about whether its products contain back doors.

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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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