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Comparison Overview

Penn AIPenn AI
VS
Brigham Young UniversityBrigham Young University
Penn AI

Penn AI

1 College Hall, Philadelphia, 19104, US

Last Update: 08/05/2026

View Profile
Between 750 and 799
https://ai.upenn.edu/
767/1000Fair

Penn AI – A University-Wide Effort to Advance AI Research, Education, and Impact The Penn AI Initiative aims to establish Penn as a global leader in artificial intelligence research, education, and application. The initiative seeks to drive responsible AI innovation w...

NAICS:6113
NAICS Definition:Colleges, Universities, and Professional Schools
Employees:5
Subsidiaries:11
12-month incidents
0
Known data breaches
0
Attack type number
0
Brigham Young University

Brigham Young University

Main Campus, Provo, UT, US, 84602

Last Update: 02/04/2026

View Profile
Between 800 and 849
https://byu.edu
800/1000Good

We believe a world yearning for hope and joy needs the graduates of Brigham Young University—disciples of Jesus Christ who are driven by love for God and His children and who are prepared to serve and lead. This preparation demands a unique university model: at BYU, bel...

NAICS:6113
NAICS Definition:Colleges, Universities, and Professional Schools
Employees:16,614
Subsidiaries:1
12-month incidents
0
Known data breaches
0
Attack type number
1

Compliance Ranges Comparison

Based On Specific Ai Models Category
Penn AI

Penn AI

-
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
Brigham Young University

Brigham Young University

-
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 Higher Education Industry Avg (This Year)

No incidents recorded for Penn AI in 2026.

Incidents

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for Brigham Young University in 2026.

Incidents

Incident History - Penn AI (X = Date, Y = Severity)

Penn AI cyber incidents detection timeline including parent company and subsidiaries.

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

Incident History - Brigham Young University (X = Date, Y = Severity)

Brigham Young University cyber incidents detection timeline including parent company and subsidiaries.

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

Notable Incidents

Last Cyber / HR Incidents / Global...
Penn AI

Penn AI

Incidents
No explicit notable incidents reported.
Brigham Young University

Brigham Young University

Incidents
🔒 Incident : Data Leak
BRI21381123

FAQ

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