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Comparison Overview

AdictizAdictiz
VS
e&e&
Adictiz

Adictiz

N/A

Last Update: 01/04/2026

View Profile
Between 750 and 799
http://www.adictiz.com
766/1000Fair

Chez Adictiz, nous développons depuis 10 ans une plateforme SaaS de création d’expériences interactives pour les audiences de nos clients. Notre promesse: faciliter la création des meilleures expériences interactives pour engager les audiences de marques, collecter des...

NAICS:513
NAICS Definition:Others
Employees:53
Subsidiaries:45
12-month incidents
0
Known data breaches
0
Attack type number
0
e&

e&

Abu Dhabi, Abu Dhabi, AE

Last Update: 01/04/2026

View Profile
Between 800 and 849
http://eand.com
800/1000Good

We're a global technology group focused on innovation and collaboration to create a better future for all. Since 1976, we've been pioneering new technologies and expanding our reach to more people and places. Today, we provide services to over 163 million customers acro...

NAICS:513
NAICS Definition:Others
Employees:30,398
Subsidiaries:18
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Adictiz

Adictiz

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA
e&

e&

-
ISO 27001Not verified
ISO 27001
-
SOC2 Type 1Not verified
SOC2 Type 1
-
SOC2 Type 2Not verified
SOC2 Type 2
-
GDPRNot verified
GDPR
-
PCI DSSNot verified
PCI DSS
-
HIPAANot verified
HIPAA

Benchmark & Cyber Underwriting Signals

Incidents vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for Adictiz in 2026.

Incidents

Incidents vs Technology, Information and Internet Industry Avg (This Year)

No incidents recorded for e& in 2026.

Incidents

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

Adictiz cyber incidents detection timeline including parent company and subsidiaries.

R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Incident History - e& (X = Date, Y = Severity)

e& cyber incidents detection timeline including parent company and subsidiaries.

No timeline data available
R - Ransomware
C - Cyber Attack
D - Data Breach
V - Vulnerability

Notable Incidents

Last Cyber / HR Incidents / Global...
Adictiz

Adictiz

Incidents
No explicit notable incidents reported.
e&

e&

Incidents
No explicit notable incidents reported.

FAQ

Between Adictiz company and e& company, which one has the best AI Cybersecurity Score ?
Between Adictiz company and e& company, which one has experienced more cyber incidents in the past ?
Between Adictiz company and e& company, which one has experienced more cyber incidents this year ?
Between Adictiz company and e& company, which one has experienced at least one ransomware attack ?
Between Adictiz company and e& company, which one has experienced at least one data breach ?
Between Adictiz company and e& company, which one has experienced at least one targeted cyberattack ?
Between Adictiz company and e& company, which one has experienced at least one vulnerability ?
Between Adictiz company and e& company, which one holds the most compliance certifications ?
Between Adictiz company and e& company, which one holds the fewest compliance certifications ?
Between Adictiz company and e& company, which one has the most subsidiaries ?
Between Adictiz company and e& company, which one has the largest number of employees ?
Between Adictiz and e&, which company holds both SOC 2 Type 1 certifications ?
Between Adictiz and e&, which company holds both SOC 2 Type 2 certifications ?
Which company is ISO 27001 certified - Adictiz or e& ?
Which company is PCI DSS compliant - Adictiz or e& ?
Between Adictiz and e&, which company complies with HIPAA regulations for healthcare data ?
Between Adictiz and e&, which company complies with GDPR requirements ?

Latest Global CVEs

CVE-2026-63261
SUMMARY

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). A low-privileged authenticated user can send a specially crafted request to a Kibana machine learning feature, causing the server to exhaust available memory and become unavailable to all users.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
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
CVE-2026-63260
SUMMARY

Uncontrolled Resource Consumption (CWE-400) in Kibana can lead to denial of service via Excessive Allocation (CAPEC-130). An authenticated attacker with low-privilege access can trigger a denial of service condition in Kibana by sending a specially crafted, oversized request payload. Processing this user-supplied input requires resource-intensive memory allocation that can exhaust the available heap memory in the Kibana process, causing it to crash and become unavailable to all users.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
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
CVE-2026-63259
SUMMARY

Authorization Bypass Through User-Controlled Key (CWE-639) in Kibana can lead to information disclosure via user-supplied identifiers that reference scheduled query result data from Kibana Spaces the requester is not authorized to access.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63145
SUMMARY

Incorrect Authorization (CWE-863) in Kibana can lead to integrity compromise of Machine Learning audit and notification records via Accessing Functionality Not Properly Constrained by ACLs (CAPEC-1). A vulnerability exists in Kibana's Machine Learning functionality where a Machine Learning management endpoint performs an insufficient authorization check. The endpoint validates only a coarse privilege level but does not verify that the requesting user has access to the specific Machine Learning job or notification resources provided in the request. As a result, a low-privileged user with Machine Learning access in any Kibana space can manipulate Machine Learning audit and notification records for arbitrary jobs—including jobs in other spaces or belonging to other users—by leveraging Kibana's internally elevated credentials to write to restricted Machine Learning system indices that the user cannot access directly.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
IMPACT SCORE
1.4
EXPLOITABILITY
2.8
CVE-2026-63144
SUMMARY

Uncontrolled Recursion (CWE-674) in Elasticsearch can lead to denial of service via a specially crafted search request submitted by a low-privileged authenticated user. A user with read-level index access can submit a request that triggers unbounded recursive processing within the Elasticsearch query evaluation component, causing a fatal error that terminates the affected node. In single-node deployments, this results in complete service outage; in multi-node clusters, it causes repeated node restarts and sustained availability degradation.

PUBLISHED
Date2026-07-21
UPDATED
Date2026-07-21
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