Comparison Overview

Process Group Inc.

VS

Autocall Fire Detection Systems

Process Group Inc.

555 CONESTOGA BLVD, Cambridge, Ontario, N1R 7P5, CA
Last Update: 2025-11-28
Between 750 and 799

Process Group Welcome to Industry's single source end-to-end supplier of engineering, procurement, construction and maintenance services to manufacturing plants, process equipment vendors, engineering firms and industrial design builders for specialized services in production equipment and process system installations. Offering Industrial Service Solutions With operations throughout Canada and the United States, Process Group's head office is situated in Cambridge, Ontario in the Great Lakes Region. A major success of our organization has been the ability to establish teaming and foster strong partnerships with our customers thereby optimizing on project requirements, applied resources, and scheduled delivery of services "Nothing Takes Priority Over Safety"

NAICS: None
NAICS Definition:
Employees: 81
Subsidiaries: 0
12-month incidents
0
Known data breaches
0
Attack type number
0

Autocall Fire Detection Systems

Last Update:
Between 750 and 799

Backed by a legacy of innovation and invention, Autocall fire detection products are moving the industry forward with advanced technology that helps ensure protection for people and facilities worldwide. Cost-effective Autocall systems are easy to install and simple to operate – because no one should ever have to compromise on safety. With advanced capabilities and adaptive, flexible design, Autocall systems go above and beyond to deliver steadfast protection day after day, year after year.

NAICS: None
NAICS Definition: Others
Employees: 4
Subsidiaries: 16
12-month incidents
0
Known data breaches
0
Attack type number
3

Compliance Badges Comparison

Security & Compliance Standards Overview

https://images.rankiteo.com/companyimages/process-group.jpeg
Process Group Inc.
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/autocall-fire-detection-systems.jpeg
Autocall Fire Detection Systems
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
Process Group Inc.
100%
Compliance Rate
0/4 Standards Verified
Autocall Fire Detection Systems
0%
Compliance Rate
0/4 Standards Verified

Benchmark & Cyber Underwriting Signals

Incidents vs Mechanical Or Industrial Engineering Industry Average (This Year)

No incidents recorded for Process Group Inc. in 2025.

Incidents vs Mechanical Or Industrial Engineering Industry Average (This Year)

No incidents recorded for Autocall Fire Detection Systems in 2025.

Incident History — Process Group Inc. (X = Date, Y = Severity)

Process Group Inc. cyber incidents detection timeline including parent company and subsidiaries

Incident History — Autocall Fire Detection Systems (X = Date, Y = Severity)

Autocall Fire Detection Systems cyber incidents detection timeline including parent company and subsidiaries

Notable Incidents

Last 3 Security & Risk Events by Company

https://images.rankiteo.com/companyimages/process-group.jpeg
Process Group Inc.
Incidents

No Incident

https://images.rankiteo.com/companyimages/autocall-fire-detection-systems.jpeg
Autocall Fire Detection Systems
Incidents

Date Detected: 6/2025
Type:Vulnerability
Attack Vector: Publicly Accessible Devices, Default Credentials, Unpatched Software Vulnerabilities, Lack of Firewalls/Encryption
Blog: Blog

Date Detected: 09/2023
Type:Cyber Attack
Attack Vector: Denial of Service (DoS)
Blog: Blog

Date Detected: 09/2023
Type:Ransomware
Motivation: Financial Gain
Blog: Blog

FAQ

Process Group Inc. company demonstrates a stronger AI Cybersecurity Score compared to Autocall Fire Detection Systems company, reflecting its advanced cybersecurity posture governance and monitoring frameworks.

Autocall Fire Detection Systems company has historically faced a number of disclosed cyber incidents, whereas Process Group Inc. company has not reported any.

In the current year, Autocall Fire Detection Systems company has reported more cyber incidents than Process Group Inc. company.

Autocall Fire Detection Systems company has confirmed experiencing a ransomware attack, while Process Group Inc. company has not reported such incidents publicly.

Neither Autocall Fire Detection Systems company nor Process Group Inc. company has reported experiencing a data breach publicly.

Autocall Fire Detection Systems company has reported targeted cyberattacks, while Process Group Inc. company has not reported such incidents publicly.

Autocall Fire Detection Systems company has disclosed at least one vulnerability, while Process Group Inc. company has not reported such incidents publicly.

Neither Process Group Inc. nor Autocall Fire Detection Systems holds any compliance certifications.

Neither company holds any compliance certifications.

Autocall Fire Detection Systems company has more subsidiaries worldwide compared to Process Group Inc. company.

Process Group Inc. company employs more people globally than Autocall Fire Detection Systems company, reflecting its scale as a Mechanical Or Industrial Engineering.

Neither Process Group Inc. nor Autocall Fire Detection Systems holds SOC 2 Type 1 certification.

Neither Process Group Inc. nor Autocall Fire Detection Systems holds SOC 2 Type 2 certification.

Neither Process Group Inc. nor Autocall Fire Detection Systems holds ISO 27001 certification.

Neither Process Group Inc. nor Autocall Fire Detection Systems holds PCI DSS certification.

Neither Process Group Inc. nor Autocall Fire Detection Systems holds HIPAA certification.

Neither Process Group Inc. nor Autocall Fire Detection Systems holds GDPR certification.

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
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