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Comparison Overview

Edelman Financial EnginesEdelman Financial Engines
VS
Fannie MaeFannie Mae
Edelman Financial Engines

Edelman Financial Engines

3315 Scott Blvd, Santa Clara, 95054, US

Last Update: 24/04/2026

View Profile
595/1000Very Poor

For more than 35 years, Edelman Financial Engines has been helping people move their financial lives forward. Our founders set the tone for our mission – giving individual investors access to sophisticated investment modeling tools that were previously available only t...

NAICS:52
NAICS Definition:Finance and Insurance
Employees:1,494
Subsidiaries:0
12-month incidents
2
Known data breaches
2
Attack type number
2
Fannie Mae

Fannie Mae

1100 15th St NW, Washington, District of Columbia, US, 20005

Last Update: 19/06/2026

View Profile
Between 750 and 799
http://www.fanniemae.com
778/1000Fair

Fannie Mae creates opportunities for people to buy, refinance, or rent a home. We are a leading source of mortgage financing in all markets and at all times. We ensure the availability of affordable mortgage loans. The financing solutions we develop make homeownership a...

NAICS:52
NAICS Definition:Finance and Insurance
Employees:12,235
Subsidiaries:1
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Ranges Comparison

Based On Specific Ai Models Category
Edelman Financial Engines

Edelman Financial Engines

-
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
Fannie Mae

Fannie Mae

-
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 Financial Services Industry Avg (This Year)

Edelman Financial Engines has 14.29% more incidents than the average of same-industry companies with at least one recorded incident.

Incidents

Incidents vs Financial Services Industry Avg (This Year)

No incidents recorded for Fannie Mae in 2026.

Incidents

Incident History - Edelman Financial Engines (X = Date, Y = Severity)

Edelman Financial Engines cyber incidents detection timeline including parent company and subsidiaries.

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

Incident History - Fannie Mae (X = Date, Y = Severity)

Fannie Mae 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...
Edelman Financial Engines

Edelman Financial Engines

Incidents
🔒 Incident : Breach
AMEMEREDEHIGCET1775075723
🔒 Incident : Breach
EDE1770317444
🔒 Incident : Cyber Attack
AMEHIGLPLEDE1777062318
Fannie Mae

Fannie Mae

Incidents
No explicit notable incidents reported.

FAQ

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