Comparison Overview

Lincoln Park Conservancy

VS

Center for Statistics and Machine Learning

Lincoln Park Conservancy

2430 N Cannon Dr, Chicago, Illinois, US, 60614
Last Update: 2026-01-22

Lincoln Park is Chicago’s largest and most visited park and the third most visited city park in the U.S. with over 20 million visitors annually. The Park is Chicago’s front door and is often called Chicago’s ‘Central Park.’ The Lincoln Park Conservancy’s mission is to preserve and enhance Lincoln Park’s inspiring beauty for current and future generations. Established in 1984, the Lincoln Park Conservancy works to enhance Chicago’s largest park through volunteer power, fundraising and park improvements. Through its master agreement with the Chicago Park District, the Conservancy manages treasured Park sites including the Alfred Caldwell Lily Pool, Abraham Lincoln Monument and Gardens, Lincoln Park Conservatory and North Pond Nature Sanctuary, in addition to general stewardship activities across Lincoln Park’s 1,200 acres. Our volunteer docents offer free tours of the park's natural, historic and cultural elements in order to build visitor connections to these unique places. Monthly wildflower walks are hosted at the Lily Pool and North Pond, educating guests about Chicago's historic connection to them and their importance to local ecology. Conservancy volunteers give back nearly 3,000 hours of service each year, engaging with park visitors and maintaining this portion of Lincoln Park. One unique aspect of the Conservancy’s approach is that when the Conservancy commits to a site, it embarks on the site’s long-term care and if needed, restoration. As the Conservancy’s managed sites are free of admission, the private funding we raise to support these park assets is of central importance.

NAICS: 712
NAICS Definition: Museums, Historical Sites, and Similar Institutions
Employees: 24
Subsidiaries: 0
12-month incidents
0
Known data breaches
0
Attack type number
0

Center for Statistics and Machine Learning

26 Prospect Ave, Princeton, 08540, US
Last Update: 2026-01-23
Between 750 and 799

The Center for Statistics and Machine Learning (CSML) is Princeton University’s focal point for data science education and research on campus. The center’s mission is to foster and support a community of scholars addressing the challenges of modern algorithmic data-driven research, the development of innovative methodologies for extracting information from data across different domains, and the education of students in the foundations of modern data science. The center fulfills this via support of research and teaching that harnesses insights from computation, machine learning, and statistics, to advance both theoretical foundations and scientific discovery. The center offers courses, two certificate programs, and special initiatives for students. The center also co-sponsors seminars that enhance researchers’ knowledge base and workshops that deepen the use and reach of data science on campus. Undergirding all these efforts is the center’s open collaborative, interdisciplinary nature. We work with departments, centers, and others on and off campus. Contact us ( [email protected] ) for more information if you are interested in partnering with us on research or want to know more about our suite of programs.

NAICS: 712
NAICS Definition: Museums, Historical Sites, and Similar Institutions
Employees: 6
Subsidiaries: 0
12-month incidents
0
Known data breaches
0
Attack type number
0

Compliance Badges Comparison

Security & Compliance Standards Overview

https://images.rankiteo.com/companyimages/lincolnparkconservancy.jpeg
Lincoln Park Conservancy
ISO 27001
ISO 27001 certification not verified
Not verified
SOC2 Type 1
SOC2 Type 1 certification not verified
Not verified
SOC2 Type 2
SOC2 Type 2 certification not verified
Not verified
GDPR
GDPR certification not verified
Not verified
PCI DSS
PCI DSS certification not verified
Not verified
HIPAA
HIPAA certification not verified
Not verified
https://images.rankiteo.com/companyimages/princeton-csml.jpeg
Center for Statistics and Machine Learning
ISO 27001
ISO 27001 certification not verified
Not verified
SOC2 Type 1
SOC2 Type 1 certification not verified
Not verified
SOC2 Type 2
SOC2 Type 2 certification not verified
Not verified
GDPR
GDPR certification not verified
Not verified
PCI DSS
PCI DSS certification not verified
Not verified
HIPAA
HIPAA certification not verified
Not verified
Compliance Summary
Lincoln Park Conservancy
100%
Compliance Rate
0/4 Standards Verified
Center for Statistics and Machine Learning
0%
Compliance Rate
0/4 Standards Verified

Benchmark & Cyber Underwriting Signals

Incidents vs Museums, Historical Sites, and Zoos Industry Average (This Year)

No incidents recorded for Lincoln Park Conservancy in 2026.

Incidents vs Museums, Historical Sites, and Zoos Industry Average (This Year)

No incidents recorded for Center for Statistics and Machine Learning in 2026.

Incident History — Lincoln Park Conservancy (X = Date, Y = Severity)

Lincoln Park Conservancy cyber incidents detection timeline including parent company and subsidiaries

Incident History — Center for Statistics and Machine Learning (X = Date, Y = Severity)

Center for Statistics and Machine Learning cyber incidents detection timeline including parent company and subsidiaries

Notable Incidents

Last 3 Security & Risk Events by Company

https://images.rankiteo.com/companyimages/lincolnparkconservancy.jpeg
Lincoln Park Conservancy
Incidents

No Incident

https://images.rankiteo.com/companyimages/princeton-csml.jpeg
Center for Statistics and Machine Learning
Incidents

No Incident

FAQ

Lincoln Park Conservancy company demonstrates a stronger AI Cybersecurity Score compared to Center for Statistics and Machine Learning company, reflecting its advanced cybersecurity posture governance and monitoring frameworks.

Historically, Center for Statistics and Machine Learning company has disclosed a higher number of cyber incidents compared to Lincoln Park Conservancy company.

In the current year, Center for Statistics and Machine Learning company and Lincoln Park Conservancy company have not reported any cyber incidents.

Neither Center for Statistics and Machine Learning company nor Lincoln Park Conservancy company has reported experiencing a ransomware attack publicly.

Neither Center for Statistics and Machine Learning company nor Lincoln Park Conservancy company has reported experiencing a data breach publicly.

Neither Center for Statistics and Machine Learning company nor Lincoln Park Conservancy company has reported experiencing targeted cyberattacks publicly.

Neither Lincoln Park Conservancy company nor Center for Statistics and Machine Learning company has reported experiencing or disclosing vulnerabilities publicly.

Neither Lincoln Park Conservancy nor Center for Statistics and Machine Learning holds any compliance certifications.

Neither company holds any compliance certifications.

Neither Lincoln Park Conservancy company nor Center for Statistics and Machine Learning company has publicly disclosed detailed information about the number of their subsidiaries.

Lincoln Park Conservancy company employs more people globally than Center for Statistics and Machine Learning company, reflecting its scale as a Museums, Historical Sites, and Zoos.

Neither Lincoln Park Conservancy nor Center for Statistics and Machine Learning holds SOC 2 Type 1 certification.

Neither Lincoln Park Conservancy nor Center for Statistics and Machine Learning holds SOC 2 Type 2 certification.

Neither Lincoln Park Conservancy nor Center for Statistics and Machine Learning holds ISO 27001 certification.

Neither Lincoln Park Conservancy nor Center for Statistics and Machine Learning holds PCI DSS certification.

Neither Lincoln Park Conservancy nor Center for Statistics and Machine Learning holds HIPAA certification.

Neither Lincoln Park Conservancy nor Center for Statistics and Machine Learning holds GDPR certification.

Latest Global CVEs (Not Company-Specific)

Description

Improper validation of specified type of input in M365 Copilot allows an unauthorized attacker to disclose information over a network.

Risk Information
cvss3
Base: 9.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N
Description

Improper access control in Azure Front Door (AFD) allows an unauthorized attacker to elevate privileges over a network.

Risk Information
cvss3
Base: 9.8
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Description

Azure Entra ID Elevation of Privilege Vulnerability

Risk Information
cvss3
Base: 9.3
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N
Description

Moonraker is a Python web server providing API access to Klipper 3D printing firmware. In versions 0.9.3 and below, instances configured with the "ldap" component enabled are vulnerable to LDAP search filter injection techniques via the login endpoint. The 401 error response message can be used to determine whether or not a search was successful, allowing for brute force methods to discover LDAP entries on the server such as user IDs and user attributes. This issue has been fixed in version 0.10.0.

Risk Information
cvss4
Base: 2.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:U/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
Description

Runtipi is a Docker-based, personal homeserver orchestrator that facilitates multiple services on a single server. Versions 3.7.0 and above allow an authenticated user to execute arbitrary system commands on the host server by injecting shell metacharacters into backup filenames. The BackupManager fails to sanitize the filenames of uploaded backups. The system persists user-uploaded files directly to the host filesystem using the raw originalname provided in the request. This allows an attacker to stage a file containing shell metacharacters (e.g., $(id).tar.gz) at a predictable path, which is later referenced during the restore process. The successful storage of the file is what allows the subsequent restore command to reference and execute it. This issue has been fixed in version 4.7.0.

Risk Information
cvss3
Base: 8.0
Severity: HIGH
CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:C/C:H/I:H/A:H