What is the official website of Concentrix AI Data | Trust & Safety ?

The official website of Concentrix AI Data | Trust & Safety is https://www.concentrix.com/services-solutions/trust-safety/.

What is Concentrix AI Data | Trust & Safety's cybersecurity risk score?

Concentrix AI Data | Trust & Safety has an AI-generated cybersecurity risk score of 752 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Concentrix AI Data | Trust & Safety experienced?

According to Rankiteo, Concentrix AI Data | Trust & Safety currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Has Concentrix AI Data | Trust & Safety been affected by any supply chain cyber incidents ?

According to Rankiteo, Concentrix AI Data | Trust & Safety has not been affected by any supply chain cyber incidents, and no incident IDs are currently listed for the organization.

Does Concentrix AI Data | Trust & Safety have SOC 2 Type 1 certification ?

According to Rankiteo, Concentrix AI Data | Trust & Safety is not certified under SOC 2 Type 1.

Does Concentrix AI Data | Trust & Safety have SOC 2 Type 2 certification ?

According to Rankiteo, Concentrix AI Data | Trust & Safety does not hold a SOC 2 Type 2 certification.

Does Concentrix AI Data | Trust & Safety comply with GDPR ?

According to Rankiteo, Concentrix AI Data | Trust & Safety is not listed as GDPR compliant.

Does Concentrix AI Data | Trust & Safety have PCI DSS certification ?

According to Rankiteo, Concentrix AI Data | Trust & Safety does not currently maintain PCI DSS compliance.

Does Concentrix AI Data | Trust & Safety comply with HIPAA ?

According to Rankiteo, Concentrix AI Data | Trust & Safety is not compliant with HIPAA regulations.

Does Concentrix AI Data | Trust & Safety have ISO 27001 certification ?

According to Rankiteo,Concentrix AI Data | Trust & Safety is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Which industry does Concentrix AI Data | Trust & Safety operate in ?

Concentrix AI Data | Trust & Safety operates primarily in the IT Services and IT Consulting industry.

How many employees does Concentrix AI Data | Trust & Safety have ?

Concentrix AI Data | Trust & Safety employs approximately None employees people worldwide.

Does Concentrix AI Data | Trust & Safety own any subsidiaries ?

Concentrix AI Data | Trust & Safety presently has no subsidiaries across any sectors.

How many LinkedIn followers does Concentrix AI Data | Trust & Safety have ?

Concentrix AI Data | Trust & Safety's official LinkedIn profile has approximately 2,843 followers.

What is the NAICS classification code for Concentrix AI Data | Trust & Safety ?

Concentrix AI Data | Trust & Safety is classified under the NAICS code 5415, which corresponds to Computer Systems Design and Related Services.

Does Concentrix AI Data | Trust & Safety have a Crunchbase profile ?

No, Concentrix AI Data | Trust & Safety does not have a profile on Crunchbase.

Does Concentrix AI Data | Trust & Safety have a LinkedIn profile ?

Yes, Concentrix AI Data | Trust & Safety maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/cnx-ai-data-trus-safety.

How many cybersecurity incidents has Concentrix AI Data | Trust & Safety experienced ?

As of June 23, 2026, Rankiteo reports that Concentrix AI Data | Trust & Safety has not experienced any cybersecurity incidents.

How many peer or competitor companies does Concentrix AI Data | Trust & Safety have ?

Concentrix AI Data | Trust & Safety has an estimated 40,782 peer or competitor companies worldwide.

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CADTS

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752

/1000

Fair

777

/1000

Fair

Concentrix AI Data | Trust & Safety Vendor Cyber Rating & Cyber Score

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Concentrix AI Data and Trust & Safety powers leading global brands to build high-performing and ethical AI systems, and ensures safe online interactions for both platforms and users. We combine AI-driven tech with human expertise to deliver comprehensive services across moderation, safety, compliance, and integrity—designed for today’s complex, fast-moving digital ecosystems.

CADTS A.I CyberSecurity Scoring

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CADTS

Concentrix AI Data | Trust & Safety CyberSecurity News & History

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A.I.

CADTS 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

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Underwriter Stats for CADTS

Incidents vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Concentrix AI Data | Trust & Safety in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Concentrix AI Data | Trust & Safety in 2026.

Incident Types CADTS vs IT Services and IT Consulting Industry Avg (This Year)

No incidents recorded for Concentrix AI Data | Trust & Safety in 2026.

Incident History - CADTS (X = Date, Y = Severity)

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SUBSIDIARY

Concentrix AI Data | Trust & Safety Subsidiaries

Parent Company

CADTS

IT Services and IT Consulting

Website: https://www.concentrix.com/services-solutions/trust-safety/

Company Size: 10,000+ employees

No subsidiary data available for this company.

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NEWS

Concentrix AI Data | Trust & Safety CyberSecurity News

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

March 27, 2026 09:39 AM

Concentrix's AI Strategy: iX ARR Projected to Reach $100M by Year-End as S-Curve Momentum Builds

Concentrix's Strategic Shift: Embracing AI for Future GrowthConcentrix is positioning itself for a significant transformation.

Read Article

March 27, 2026 08:11 AM

Concentrix summit puts cyber-resilience at the center of PH digital transformation

Concentrix gathered leaders from government, technology, and key industries on March 24 for Filipinnovation-powered by Concentrix,...

Read Article

March 26, 2026 09:21 PM

A Look At Concentrix (CNXC) Valuation After Weaker Q1 Earnings And Cautious Guidance

Concentrix (CNXC) stock came under pressure after first quarter earnings showed weaker profitability, with operating margin contraction...

Read Article

March 26, 2026 10:42 AM

Concentrix showcases CyberProtect and iX Suite in Filipinnovation

LEADERS from government, technology and multiple industries convened on March 24 for Filipinnovation-powered by Concentrix, an exclusive...

Read Article

March 25, 2026 10:10 PM

Wall Street Has Soured on Artificial Intelligence (AI). Here's Why That's a Buy Signal for These 2 Stocks in 2026.

Detailed price information for Clearfield Inc (CLFD-Q) from The Globe and Mail including charting and trades.

Read Article

March 18, 2026 07:00 AM

Stocks making big moves yesterday: Portillo's, Planet Labs, Concentrix, Uber, and Dine Brands

Check out the companies making headlines yesterday: Portillo's (NASDAQ:PTLO): Casual restaurant chain Portillo's (NASDAQ:PTLO) rose by 2.7%...

Read Article

February 23, 2026 08:00 AM

Proofpoint partners with Concentrix to strengthen human- and agent-centric cybersecurity across Asia Pacific

Partnership integrates Proofpoint's collaboration and data protection solutions into Concentrix SOC offerings, delivering enhanced security...

Read Article

February 23, 2026 08:00 AM

Proofpoint & Concentrix deepen Asia Pacific cyber push

Proofpoint and Concentrix form Asia Pacific partnership to embed people-centric cyber and data protection tools into regional SOC services.

Read Article

January 28, 2026 08:00 AM

Concentrix Corp SEC 10-K Report

Concentrix Corp, a global leader in customer experience (CX) solutions, has released its annual Form 10-K report, detailing its financial...

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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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