ADP
Company Details
Linkedin ID:
asparity-decision-solutions
Website:
Employees number:
311
Number of followers:
1,696
NAICS:
541612
Industry Type:
Homepage:
adp.com
IP Addresses:
1278
Company ID:
AUT_2319566
Scan Status:
Completed
Automatic Data Processing Company CyberSecurity Posture
adp.com
ADP is a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration, and a leader in business outsourcing services, analytics and compliance expertise. My focus is within ADP's benefit servicing, decision support division headquartered in Durham, North Carolina. Our group owns patented technology in conjoint analysis that it customizes for private and public sector companies.
Automatic Data Processing A.I CyberSecurity Scoring
ADP Risk Score (AI oriented)Between 800 and 849
ADP
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- Powered by our proprietary A.I cyber incident model
- Insurance preferes TPRM score to calculate premium
ADP Global Score (TPRM)XXXX
ADP
- Instant access to detailed risk factors
- Benchmark vs. industry & size peers
- Vulnerabilities
- Findings
ADP Company CyberSecurity News & History
Past Incidents
0
Attack Types
0
No data available
ADP Company Scoring based on AI Models
Cyber Incidents Likelihood 3 - 6 - 9 months
A.I Risk Score Likelihood 3 - 6 - 9 months
Underwriter Stats for ADP
Incidents vs Human Resources Services Industry Average (This Year)
No incidents recorded for Automatic Data Processing in 2025.
Incidents vs All-Companies Average (This Year)
No incidents recorded for Automatic Data Processing in 2025.
Incident Types ADP vs Human Resources Services Industry Avg (This Year)
No incidents recorded for Automatic Data Processing in 2025.
Incident History — ADP (X = Date, Y = Severity)
ADP cyber incidents detection timeline including parent company and subsidiaries
ADP Company Subsidiaries
ADP is a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration, and a leader in business outsourcing services, analytics and compliance expertise. My focus is within ADP's benefit servicing, decision support division headquartered in Durham, North Carolina. Our group owns patented technology in conjoint analysis that it customizes for private and public sector companies.
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ADP CyberSecurity News
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October 29, 2025 07:00 AM
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October 27, 2025 07:00 AM
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October 16, 2025 07:00 AM
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October 08, 2025 07:00 AM
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September 25, 2025 07:00 AM
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
ADP CyberSecurity History Information
Official Website of Automatic Data Processing
The official website of Automatic Data Processing is http://www.ADP.com.
Automatic Data Processing’s AI-Generated Cybersecurity Score
According to Rankiteo, Automatic Data Processing’s AI-generated cybersecurity score is 822, reflecting their Good security posture.
How many security badges does Automatic Data Processing’ have ?
According to Rankiteo, Automatic Data Processing currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
Does Automatic Data Processing have SOC 2 Type 1 certification ?
According to Rankiteo, Automatic Data Processing is not certified under SOC 2 Type 1.
Does Automatic Data Processing have SOC 2 Type 2 certification ?
According to Rankiteo, Automatic Data Processing does not hold a SOC 2 Type 2 certification.
Does Automatic Data Processing comply with GDPR ?
According to Rankiteo, Automatic Data Processing is not listed as GDPR compliant.
Does Automatic Data Processing have PCI DSS certification ?
According to Rankiteo, Automatic Data Processing does not currently maintain PCI DSS compliance.
Does Automatic Data Processing comply with HIPAA ?
According to Rankiteo, Automatic Data Processing is not compliant with HIPAA regulations.
Does Automatic Data Processing have ISO 27001 certification ?
According to Rankiteo,Automatic Data Processing is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Industry Classification of Automatic Data Processing
Automatic Data Processing operates primarily in the Human Resources Services industry.
Number of Employees at Automatic Data Processing
Automatic Data Processing employs approximately 311 people worldwide.
Subsidiaries Owned by Automatic Data Processing
Automatic Data Processing presently has no subsidiaries across any sectors.
Automatic Data Processing’s LinkedIn Followers
Automatic Data Processing’s official LinkedIn profile has approximately 1,696 followers.
NAICS Classification of Automatic Data Processing
Automatic Data Processing is classified under the NAICS code 541612, which corresponds to Human Resources Consulting Services.
Automatic Data Processing’s Presence on Crunchbase
No, Automatic Data Processing does not have a profile on Crunchbase.
Automatic Data Processing’s Presence on LinkedIn
Yes, Automatic Data Processing maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/asparity-decision-solutions.
Cybersecurity Incidents Involving Automatic Data Processing
As of November 27, 2025, Rankiteo reports that Automatic Data Processing has not experienced any cybersecurity incidents.
Number of Peer and Competitor Companies
Automatic Data Processing has an estimated 4,213 peer or competitor companies worldwide.
Automatic Data Processing CyberSecurity History Information
How many cyber incidents has Automatic Data Processing faced ?
Total Incidents: According to Rankiteo, Automatic Data Processing has faced 0 incidents in the past.
What types of cybersecurity incidents have occurred at Automatic Data Processing ?
Incident Types: The types of cybersecurity incidents that have occurred include .
Incident Details
What are the most common types of attacks the company has faced ?
Additional Questions
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Latest Global CVEs (Not Company-Specific)
Description
Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.
Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/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
References
- https://github.com/angular/angular/commit/0276479e7d0e280e0f8d26fa567d3b7aa97a516f
- https://github.com/angular/angular/commit/05fe6686a97fa0bcd3cf157805b3612033f975bc
- https://github.com/angular/angular/commit/3240d856d942727372a705252f7c8c115394a41e
- https://github.com/angular/angular/releases/tag/19.2.16
- https://github.com/angular/angular/releases/tag/20.3.14
- https://github.com/angular/angular/releases/tag/21.0.1
- https://github.com/angular/angular/security/advisories/GHSA-58c5-g7wp-6w37
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/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
Description
Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.
Risk Information
cvss4
Base: 6.3
Severity: 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
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description
Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.
Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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