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Comparison Overview

Berkeley | Marketing Analytics and AI: Strategies and ToolsBerkeley | Marketing Analytics and AI: Strategies and Tools
VS
University of FloridaUniversity of Florida
Berkeley | Marketing Analytics and AI: Strategies and Tools

Berkeley | Marketing Analytics and AI: Strategies and Tools

undefined, Berkeley, undefined, undefined, US

Last Update: 20/04/2026

View Profile
Between 750 and 799
http://emrt.us/BH-DMA-LI-AU
771/1000Fair

Marketing professionals are investing more in analytics than ever before. However, the lack of training and skills needed to conduct effective marketing analytics—those that generate genuine insights and boost ROI, has led many to struggle to achieve the desired results...

NAICS:6113
NAICS Definition:Colleges, Universities, and Professional Schools
Employees:0
Subsidiaries:182
12-month incidents
0
Known data breaches
0
Attack type number
0
University of Florida

University of Florida

355 Tigert Hall, Gainesville, Florida, US, 32611-3115

Last Update: 13/09/2026

View Profile
Between 800 and 849
http://UF.edu
814/1000Good

University of Florida is a major, public, comprehensive, land-grant, research university. The state's oldest, largest and most comprehensive university, it is among the nation's most academically diverse public universities. University of Florida has a long history of e...

NAICS:6113
NAICS Definition:Colleges, Universities, and Professional Schools
Employees:30,956
Subsidiaries:4
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Berkeley | Marketing Analytics and AI: Strategies and Tools

Berkeley | Marketing Analytics and AI: Strategies and Tools

-
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
University of Florida

University of Florida

-
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 Berkeley | Marketing Analytics and AI: Strategies and Tools in 2026.

Incidents

Incidents vs Higher Education Industry Avg (This Year)

No incidents recorded for University of Florida in 2026.

Incidents

Incident History - Berkeley | Marketing Analytics and AI: Strategies and Tools (X = Date, Y = Severity)

Berkeley | Marketing Analytics and AI: Strategies and Tools cyber incidents detection timeline including parent company and subsidiaries.

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

Incident History - University of Florida (X = Date, Y = Severity)

University of Florida 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...
Berkeley | Marketing Analytics and AI: Strategies and Tools

Berkeley | Marketing Analytics and AI: Strategies and Tools

Incidents
No explicit notable incidents reported.
University of Florida

University of Florida

Incidents
No explicit notable incidents reported.

FAQ

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

Latest Global CVEs

CVE-2026-111865
SUMMARY

A security flaw has been discovered in THU-MIG yoloe up to 40cd606cabdbe2b566d6f14a6b162c89206e9a1b. This affects the function eval of the file ultralytics/nn/autobackend.py of the component AutoBackend Model Loading. The manipulation of the argument imgsz/names/kpt_shape results in improper neutralization of directives in dynamically evaluated code. The attack requires a local approach. The exploit has been released to the public and may be used for attacks. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The project was informed of the problem early through an issue report but has not responded yet.

PUBLISHED
Date2026-10-17
UPDATED
Date2026-10-17
RISK INFORMATION (Score: 5.3)
CVSS2
Base Score: 4.3
Complexity: LOW
AV:L/AC:L/Au:S/C:P/I:P/A:P
CVSS3
Base Score: 5.3
Complexity: LOW
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
CVSS4
Base Score: 1.9
Complexity: LOW
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/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
3.4
EXPLOITABILITY
1.8
CVE-2026-111934
SUMMARY

Coder before 2.34.7 contains an IP spoofing vulnerability in the ExtractRealIPAddress middleware that trusts the leftmost, client-supplied X-Forwarded-For value instead of the client IP appended by a reverse proxy. Attackers can send forged X-Forwarded-For values through appending proxies to bypass per-IP rate limits on login, one-time passcode, and password validation endpoints, enabling brute-force attacks, and to falsify IP addresses recorded in audit logs.

PUBLISHED
Date2026-10-17
UPDATED
Date2026-10-17
RISK INFORMATION (Score: 3.7)
CVSS3
Base Score: 3.7
Complexity: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:N
CVSS4
Base Score: 6.3
Complexity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/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
1.4
EXPLOITABILITY
2.2
CVE-2026-111933
SUMMARY

Coder before 2.29.17, 2.30.0 before 2.32.7, 2.33.0 before 2.33.8, and 2.34.0 before 2.34.2 contains a user enumeration vulnerability because userpassword.Compare() substitutes a placeholder hash derived from the string "hunter2" when a stored password hash is empty. Unauthenticated attackers can submit logins with the password "hunter2" and distinguish HTTP 403 from 401 responses to enumerate valid accounts and reveal the authentication provider of SSO-only users.

PUBLISHED
Date2026-10-17
UPDATED
Date2026-10-17
RISK INFORMATION (Score: 3.7)
CVSS3
Base Score: 3.7
Complexity: HIGH
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:N
CVSS4
Base Score: 6.3
Complexity: HIGH
CVSS:4.0/AV:N/AC:H/AT:P/PR:N/UI:N/VC:L/VI:N/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
1.4
EXPLOITABILITY
2.2
CVE-2026-111932
SUMMARY

Coder before 2.29.17, 2.30.0 before 2.32.7, 2.33.0 before 2.33.8, and 2.34.0 before 2.34.2 contains a stored HTML injection vulnerability because the ApplicationName and LogoURL appearance settings are rendered into HTML output without sufficient escaping. Attackers with the Owner role can store HTML markup in these settings that renders in the Coder dashboard and in SMTP notification emails sent to other deployment users.

PUBLISHED
Date2026-10-17
UPDATED
Date2026-10-17
RISK INFORMATION (Score: 3.4)
CVSS3
Base Score: 3.4
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:N/I:L/A:N
CVSS4
Base Score: 4.8
Complexity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:P/VC:N/VI:L/VA:N/SC:N/SI:L/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
1.4
EXPLOITABILITY
1.7
CVE-2026-111931
SUMMARY

Coder from 2.0.0 before 2.34.8 contains an open redirect vulnerability in handleAPIKeySmuggling that allows attackers to redirect users externally via unsanitized r.URL.Path values. Attackers can craft links on trusted workspace app subdomains with paths beginning with double slashes, which become scheme-relative redirects to attacker sites for phishing.

PUBLISHED
Date2026-10-17
UPDATED
Date2026-10-17
RISK INFORMATION (Score: 4.3)
CVSS3
Base Score: 4.3
Complexity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N
CVSS4
Base Score: 5.3
Complexity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/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
1.4
EXPLOITABILITY
2.8