Comparison Overview

AI-NOMIS

VS

Elsevier

AI-NOMIS

undefined, Seoul, Dobong-gu, 01411, KR
Last Update: 2025-11-23
Between 700 and 749

Empower Your Business with AI Let AI-NOMIS Be Your Guide! Welcome to AI-NOMIS, AI-NOMIS strives to brighten the future through advancements in AI technology, aiming to create an environment where every individual and company can realize the potential of AI. This embodies the democratization of AI development. We aim to establish a user-friendly AI development environment that surpasses the limitations of traditional hard-coding techniques, offering the opportunity to bring creative ideas to life through no-code AI solutions. Our vision is to democratize AI technology, bridging the gap for individuals and organizations, regardless of size or domain. We envision a world where AI, intuitive and accessible, serves as a catalyst for innovation in every corner of society. <About Us> Our vision is to democratize AI technology, bridging the gap for individuals and organizations, regardless of size or domain. We envision a world where AI, intuitive and accessible, serves as a catalyst for innovation in every corner of society. Our commitment lies in crafting AI solutions that are not just at the forefront of technology but are also inherently user-friendly, making the promise of AI a reality for all. <What We Offer> Customized AI Training: Based on the provided data, we fine-tune the LLM, TTS, STF, and STT models to create tailored AI models. Corporate GPT Development: Developing corporate GPTs based on domain-specific GPTs, such as beauty and law, ensuring a secure environment without the risk of information leakage. User-specific AI Development: Customizing AI solutions to cater to specific user needs and preferences. Unbeatable Deals: Thanks to our NOCODING AI technology, we develop AI much Faster and Affordable! we ensure your AI solution will be tailored to your specific needs and crafted in the most cost-effective manner. Also we offer you 1 year of Free Server. 🔗 Contact us to Empower your startup with AI: AI-NOMIS

NAICS: 5415
NAICS Definition: Computer Systems Design and Related Services
Employees: 2
Subsidiaries: 0
12-month incidents
1
Known data breaches
1
Attack type number
1

Elsevier

Radarweg 29, Amsterdam, North Holland, 1043, NL
Last Update: 2025-11-25
Between 750 and 799

As a global leader in information and analytics, Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems. In everything we publish, we uphold the highest standards of quality and integrity. We bring that same rigor to our information analytics solutions for researchers, health professionals, institutions and funders. Elsevier employs 8,700 people worldwide. We have supported the work of our research and health partners for more than 140 years. Growing from our roots in publishing, we offer knowledge and valuable analytics that help our users make breakthroughs and drive societal progress. With the Elsevier Foundation and our external Inclusion & Diversity Advisory Board, we work in partnership with diverse stakeholders to advance inclusion and diversity in science, research and healthcare in developing countries and around the world.

NAICS: 5415
NAICS Definition: Computer Systems Design and Related Services
Employees: 11,962
Subsidiaries: 1
12-month incidents
0
Known data breaches
0
Attack type number
1

Compliance Badges Comparison

Security & Compliance Standards Overview

https://images.rankiteo.com/companyimages/nomis-ai.jpeg
AI-NOMIS
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/elsevier.jpeg
Elsevier
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
AI-NOMIS
100%
Compliance Rate
0/4 Standards Verified
Elsevier
0%
Compliance Rate
0/4 Standards Verified

Benchmark & Cyber Underwriting Signals

Incidents vs IT Services and IT Consulting Industry Average (This Year)

AI-NOMIS has 81.82% more incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs IT Services and IT Consulting Industry Average (This Year)

No incidents recorded for Elsevier in 2025.

Incident History — AI-NOMIS (X = Date, Y = Severity)

AI-NOMIS cyber incidents detection timeline including parent company and subsidiaries

Incident History — Elsevier (X = Date, Y = Severity)

Elsevier cyber incidents detection timeline including parent company and subsidiaries

Notable Incidents

Last 3 Security & Risk Events by Company

https://images.rankiteo.com/companyimages/nomis-ai.jpeg
AI-NOMIS
Incidents

Date Detected: 4/2025
Type:Breach
Attack Vector: Exploited Vulnerability
Blog: Blog
https://images.rankiteo.com/companyimages/elsevier.jpeg
Elsevier
Incidents

Date Detected: 03/2019
Type:Data Leak
Attack Vector: Open Server
Blog: Blog

FAQ

Elsevier company demonstrates a stronger AI Cybersecurity Score compared to AI-NOMIS company, reflecting its advanced cybersecurity posture governance and monitoring frameworks.

AI-NOMIS and Elsevier have experienced a similar number of publicly disclosed cyber incidents.

In the current year, AI-NOMIS company has reported more cyber incidents than Elsevier company.

Neither Elsevier company nor AI-NOMIS company has reported experiencing a ransomware attack publicly.

AI-NOMIS company has disclosed at least one data breach, while the other Elsevier company has not reported such incidents publicly.

Neither Elsevier company nor AI-NOMIS company has reported experiencing targeted cyberattacks publicly.

Neither AI-NOMIS company nor Elsevier company has reported experiencing or disclosing vulnerabilities publicly.

Neither AI-NOMIS nor Elsevier holds any compliance certifications.

Neither company holds any compliance certifications.

Elsevier company has more subsidiaries worldwide compared to AI-NOMIS company.

Elsevier company employs more people globally than AI-NOMIS company, reflecting its scale as a IT Services and IT Consulting.

Neither AI-NOMIS nor Elsevier holds SOC 2 Type 1 certification.

Neither AI-NOMIS nor Elsevier holds SOC 2 Type 2 certification.

Neither AI-NOMIS nor Elsevier holds ISO 27001 certification.

Neither AI-NOMIS nor Elsevier holds PCI DSS certification.

Neither AI-NOMIS nor Elsevier holds HIPAA certification.

Neither AI-NOMIS nor Elsevier 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