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As part of Ireland’s National AI Strategy to develop and utilise Artificial Intelligence in various arenas of society, a Top Team on Standards for AI was established, led by the National Standards Authority of Ireland (NSAI). The pilot AI Top Team programme was conceived in 2019 under the Future Jobs Ireland plan, an ambitious, medium-term framework to create a sustainable, resilient and future-oriented economy in Ireland by 2025.

Top Teams - Standards in AI A.I CyberSecurity Scoring

AI scoreTTSA Risk Score (AI oriented)

Between 700 and 749

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TTSA Public Policy Offices
Updated:
  • Powered by our proprietary A.I cyber incident model
  • Insurance preferes TPRM score to calculate premium
globalscoreTTSA Global Score (TPRM)

XXXX

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TTSA Public Policy Offices
  • Instant access to detailed risk factors
  • Benchmark vs. industry & size peers
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TTSA Company CyberSecurity News & History

Past Incidents
0
Attack Types
0
No data available
Ailogo

TTSA Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

🔒
Incident Predictions locked
Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

🔒
A.I. Risk Score Predictions locked
Access Monitoring Plan
statics

Underwriter Stats for TTSA

Incidents vs Public Policy Offices Industry Average (This Year)

No incidents recorded for Top Teams - Standards in AI in 2025.

Incidents vs All-Companies Average (This Year)

No incidents recorded for Top Teams - Standards in AI in 2025.

Incident Types TTSA vs Public Policy Offices Industry Avg (This Year)

No incidents recorded for Top Teams - Standards in AI in 2025.

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

TTSA cyber incidents detection timeline including parent company and subsidiaries

TTSA Company Subsidiaries

SubsidiaryImage

As part of Ireland’s National AI Strategy to develop and utilise Artificial Intelligence in various arenas of society, a Top Team on Standards for AI was established, led by the National Standards Authority of Ireland (NSAI). The pilot AI Top Team programme was conceived in 2019 under the Future Jobs Ireland plan, an ambitious, medium-term framework to create a sustainable, resilient and future-oriented economy in Ireland by 2025.

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faq

Frequently Asked Questions

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.

TTSA CyberSecurity History Information

Official Website of Top Teams - Standards in AI
Top Teams - Standards in AI’s AI-Generated Cybersecurity Score

According to Rankiteo, Top Teams - Standards in AI’s AI-generated cybersecurity score is 746, reflecting their Moderate security posture.

How many security badges does Top Teams - Standards in AI’ have ?

According to Rankiteo, Top Teams - Standards in AI currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Does Top Teams - Standards in AI have SOC 2 Type 1 certification ?

According to Rankiteo, Top Teams - Standards in AI is not certified under SOC 2 Type 1.

Does Top Teams - Standards in AI have SOC 2 Type 2 certification ?

According to Rankiteo, Top Teams - Standards in AI does not hold a SOC 2 Type 2 certification.

Does Top Teams - Standards in AI comply with GDPR ?

According to Rankiteo, Top Teams - Standards in AI is not listed as GDPR compliant.

Does Top Teams - Standards in AI have PCI DSS certification ?

According to Rankiteo, Top Teams - Standards in AI does not currently maintain PCI DSS compliance.

Does Top Teams - Standards in AI comply with HIPAA ?

According to Rankiteo, Top Teams - Standards in AI is not compliant with HIPAA regulations.

Does Top Teams - Standards in AI have ISO 27001 certification ?

According to Rankiteo,Top Teams - Standards in AI is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Industry Classification of Top Teams - Standards in AI

Top Teams - Standards in AI operates primarily in the Public Policy Offices industry.

Number of Employees at Top Teams - Standards in AI

Top Teams - Standards in AI employs approximately None employees people worldwide.

Subsidiaries Owned by Top Teams - Standards in AI

Top Teams - Standards in AI presently has no subsidiaries across any sectors.

Top Teams - Standards in AI’s LinkedIn Followers

Top Teams - Standards in AI’s official LinkedIn profile has approximately 39 followers.

NAICS Classification of Top Teams - Standards in AI

Top Teams - Standards in AI is classified under the NAICS code 921, which corresponds to Executive, Legislative, and Other General Government Support.

Top Teams - Standards in AI’s Presence on Crunchbase

No, Top Teams - Standards in AI does not have a profile on Crunchbase.

Top Teams - Standards in AI’s Presence on LinkedIn

Yes, Top Teams - Standards in AI maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/top-teams-standards-in-ai.

Cybersecurity Incidents Involving Top Teams - Standards in AI

As of November 27, 2025, Rankiteo reports that Top Teams - Standards in AI has not experienced any cybersecurity incidents.

Number of Peer and Competitor Companies

Top Teams - Standards in AI has an estimated 1,025 peer or competitor companies worldwide.

Top Teams - Standards in AI CyberSecurity History Information

How many cyber incidents has Top Teams - Standards in AI faced ?

Total Incidents: According to Rankiteo, Top Teams - Standards in AI has faced 0 incidents in the past.

What types of cybersecurity incidents have occurred at Top Teams - Standards in AI ?

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

cve

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

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Network Security

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SBOM (Software Bill of Materials)

Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.

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