What is the official website of Akka Technologies ?

The official website of Akka Technologies is https://www.akka-technologies.com.

What is Akka Technologies's cybersecurity risk score?

Akka Technologies has an AI-generated cybersecurity risk score of 777 out of 1000, indicating a Fair security posture according to Rankiteo's assessment.

How many security incidents has Akka Technologies experienced?

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

Has Akka Technologies been affected by any supply chain cyber incidents ?

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

Does Akka Technologies have SOC 2 Type 1 certification ?

According to Rankiteo, Akka Technologies is not certified under SOC 2 Type 1.

Does Akka Technologies have SOC 2 Type 2 certification ?

According to Rankiteo, Akka Technologies does not hold a SOC 2 Type 2 certification.

Does Akka Technologies comply with GDPR ?

According to Rankiteo, Akka Technologies is not listed as GDPR compliant.

Does Akka Technologies have PCI DSS certification ?

According to Rankiteo, Akka Technologies does not currently maintain PCI DSS compliance.

Does Akka Technologies comply with HIPAA ?

According to Rankiteo, Akka Technologies is not compliant with HIPAA regulations.

Does Akka Technologies have ISO 27001 certification ?

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

Which industry does Akka Technologies operate in ?

Akka Technologies operates primarily in the Information Technology & Services industry.

How many employees does Akka Technologies have ?

Akka Technologies employs approximately 3,911 people worldwide.

Does Akka Technologies own any subsidiaries ?

Akka Technologies presently has no subsidiaries across any sectors.

How many LinkedIn followers does Akka Technologies have ?

Akka Technologies's official LinkedIn profile has approximately 388,236 followers.

Does Akka Technologies have a Crunchbase profile ?

Yes, Akka Technologies has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/akka-technologies.

Does Akka Technologies have a LinkedIn profile ?

Yes, Akka Technologies maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/akka-technologies.

How many cybersecurity incidents has Akka Technologies experienced ?

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

How many peer or competitor companies does Akka Technologies have ?

Akka Technologies has an estimated 10,974 peer or competitor companies worldwide.

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Akka Technologies

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777

/1000

Fair

802

/1000

Good

Akka Technologies Vendor Cyber Rating & Cyber Score

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AKKA is a European leader in engineering consulting and R&D services. Our comprehensive portfolio of digital solutions combined with our expertise in engineering, uniquely positions us to support our clients by leveraging the power of connected data to accelerate innovation and drive the future of smart industry. AKKA accompanies leading industry players across a wide range of sectors throughout the life cycle of their products with cutting-edge digital technologies (AI, ADAS, IoT, Big Data, robotics, embedded computing, machine learning, etc.) to help them rethink their products and business processes. Founded in 1984, AKKA has a strong entrepreneurial culture and a wide global footprint. Our 20,000 employees around the world are all

Akka Technologies A.I CyberSecurity Scoring

Scoring History

Akka Technologies

Akka Technologies CyberSecurity News & History

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A.I.

Akka Technologies 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

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Underwriter Stats for Akka Technologies

Incidents vs Information Technology & Services Industry Avg (This Year)

No incidents recorded for Akka Technologies in 2026.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Akka Technologies in 2026.

Incident Types Akka Technologies vs Information Technology & Services Industry Avg (This Year)

No incidents recorded for Akka Technologies in 2026.

Incident History - Akka Technologies (X = Date, Y = Severity)

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SUBSIDIARY

Akka Technologies Subsidiaries

Akka Technologies

Information Technology & Services

Website: https://www.akka-technologies.com

Company Size: 10,001+ employees

AkkodisIT Services and IT Consulting

ModisIT Services and IT Consulting

AeroconseilAviation and Aerospace Component Manufacturing

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NEWS

Akka Technologies CyberSecurity News

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

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How to win at digital ‘cops and robbers’

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October 01, 2024 04:07 PM

AKKA TECHNOLOGIES - Growth in life sciences with the acquisition of CTP SYSTEM and EDELWAY

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AKKA and Modis Unite to Build a Global Smart Industry Leader

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Adecco Group to buy AKKA Technologies in $2.4 bln deal

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The CEO of AKKA Technologies SE (EPA:AKA) is Mauro Ricci. First, this article will compare CEO compensation with...

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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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