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Comparison Overview

InnopayInnopay
VS
ZSZS
Innopay

Innopay

Strawinsklaan 381, Amsterdam, undefined, 1118 ZR, NL

Last Update: 27/12/2025

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

We are a business of Oliver Wyman specialised in digital transactions. We help companies anywhere in the world to harness the full potential of the digital transactions era. We do this by delivering strategy, product development and strategy execution in the domain of...

NAICS:5416
NAICS Definition:Management, Scientific, and Technical Consulting Services
Employees:72
Subsidiaries:11
12-month incidents
0
Known data breaches
0
Attack type number
0
ZS

ZS

1560 Sherman Avenue, Evanston, IL, US, 60201

Last Update: 02/04/2026

View Profile
Between 750 and 799
http://www.zs.com
791/1000Fair

ZS is a management consulting and technology firm that partners with companies to improve life and how we live it. We transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Founded in 1983, ZS h...

NAICS:5416
NAICS Definition:Management, Scientific, and Technical Consulting Services
Employees:20,818
Subsidiaries:0
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Innopay

Innopay

-
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
ZS

ZS

-
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 Business Consulting and Services Industry Avg (This Year)

No incidents recorded for Innopay in 2026.

Incidents

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

No incidents recorded for ZS in 2026.

Incidents

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

Innopay cyber incidents detection timeline including parent company and subsidiaries.

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

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

ZS 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...
Innopay

Innopay

Incidents
No explicit notable incidents reported.
ZS

ZS

Incidents
No explicit notable incidents reported.

FAQ

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