Screener/Asenion

Asenion

AI model validation and bias detection platform (formerly Fairly AI), merged with Anch.ai.

HQ🇺🇸 US
Size1-10
asenion.ai
Score
47.0 / 100
Evidence
3 items
Confidence
low

Developing safety practices - core foundations in place with room for improvement.

Strengths:Governance Maturity, Regulatory Readiness
Weaknesses:Technical Safety, Risk Assessment, External Engagement
Focus Areas
bias detectionfairness testingmodel validationcompliance

Strengths

No notable strengths identified

Risks

  • Low evidence coverage (3 items)
  • Engagement score (35) - significant gap
Table of Contents

Security Assessment

Security-relevant indicators for vendor evaluation

Security Posture
45
TS-01dim: 48
Red Teaming & Pre-deployment Testing
Adversarial testing before deployment
TS-05dim: 48
Robustness & Adversarial Resilience
Resistance to adversarial attacks
RA-01dim: 42
Sector-Specific Risk Assessment
Risk analysis for deployment context
RA-03dim: 42
Dual-Use & Misuse Risk
Dangerous capability awareness
RA-07dim: 42
Incident History & Track Record
Past incidents and response quality
EE-04dim: 35
Vulnerability Disclosure Program
Bug bounty or CVE reporting process
Incident History
Asenion incident records sourced from AIAAIC Repository and public reporting.
Integration: AIAAIC, OECD AI Incidents Monitor
Third-Party Audits
External audit reports, SOC 2 attestations, and ISO certifications verified where published.
Sources: Company filings, registry lookups
CVE & Disclosures
Known vulnerabilities and security advisories from NVD, GitHub Security Advisories, and vendor pages.
Sources: NVD, GHSA, vendor disclosure pages

Dimension Breakdown

GM
Governance Maturitypreliminary
Published policies, corporate structure, safety mandate, whistleblowing, executive commitment.
52
TS
Technical Safetypreliminary
Benchmarks, adversarial robustness, fine-tuning safety, watermarking, model cards, research output.
48
RA
Risk Assessmentpreliminary
Dangerous capability evaluations, thresholds, external testing, bug bounty, halt conditions.
42
RR
Regulatory Readinesspreliminary
ISO 42001, EU AI Act compliance, GPAI obligations, international commitments, incident reporting.
58
EE
External Engagementpreliminary
Survey participation, research support, transparency, behavior specs, open-source contributions.
35

Social Impact & Safety Profile

Emerging

Asenion helps organisations test AI models for fairness and compliance before deployment. Formerly known as Fairly AI, the company merged with Anch.ai in June 2025 to broaden capabilities. Early-stage with limited public customer information.

bias detectionfairness testingcompliance automation

Peer Comparison

AI Underwriting Company
A-70

Governance Tooling

Compare
Musubi
B-48.5

Governance Tooling

Compare
Lucid Computing
C+46

Governance Tooling

Compare
Theorem
C41.3

Governance Tooling

Compare
Compare side-by-side →

Data Sources & Methodology

Scoring methodology v0.1 · 40 indicators · 6 frameworks

Last assessment: 2026-03-25 · Confidence: low · Evidence: 3 items

NIST AI RMF · EU AI Act · ISO 42001 · FLI AI Safety Index · MLCommons AILuminate · METR

How is this company scored? →Full methodologyView in Screener

Scores reflect publicly available information. A low score may indicate limited transparency rather than poor safety practices.