Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Bridgewater Associates » BRI1768259266

Incident Score: Analysis & Impact (BRI1768259266)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-54
Company Score Before Incident762 / 1000
Company Score After Incident708 / 1000
INCIDENT NUMBERBRI1768259266
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal identifiable information and...
INCIDENT DATE23/12/2025
STATUSCompleted

Key Highlights From The Incident Analysis

  • Timeline of Bridgewater Associates's Breach and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Bridgewater Associates Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Bridgewater Associates breach identified under incident ID BRI1768259266.

The analysis begins with a detailed overview of Bridgewater Associates's information like the linkedin page: https://www.linkedin.com/company/bridgewater-associates, the number of followers: 318333, the industry type: Investment Management and the number of employees: 1782 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 762 and after the incident was 708 with a difference of -54 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Bridgewater Associates and their customers.

On 31 December 2025, Bridgewater disclosed Data Breach issues under the banner "Bridgewater Data Breach".

Bridgewater reported a data breach where sensitive personal identifiable information and protected health information may have been compromised.

The disruption is felt across the environment, affecting Computer systems, and exposing Sensitive personal identifiable information and protected health information.

In response, and stakeholders are being briefed through Data breach notification letters mailed to impacted individuals.

The case underscores how Completed, and recommending next steps like 12 months of complimentary credit monitoring services for affected individuals, with advisories going out to stakeholders covering Data breach notification letters sent to impacted individuals with details of exposed information.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), with evidence including unauthorized access to its systems, and suspicious activity was identified within the company’s computer networks and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating unauthorized third party accessed or acquired data stored in its systems. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating unauthorized access to its systems may have compromised sensitive PII and PHI and OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating social Security numbers and medical records compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating full names, SSNs, contact details, medical records, case-related documents exposed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating sensitive personal identifiable information and protected health information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized third party accessed or acquired data stored in its systems and Exfiltration Over Web Service (T1567) with moderate confidence (50%), supported by evidence indicating data breach impacting sensitive PII and PHI. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating unauthorized access to its systems may have compromised data and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating case-related documents and medical records compromised. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (60%)
Exploit Public-Facing Application (40%)
Credential Access
Unsecured Credentials (50%)
OS Credential Dumping (40%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service (50%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References