Screener/HiddenLayer

HiddenLayer

AI security platform providing model-level detection and response (MLDR) against adversarial AI attacks.

HQ🇺🇸 US
Est2022
Size51-200
hiddenlayer.com
Score
54.0 / 100
Evidence
5 items
Confidence
medium

Strong safety posture with established governance frameworks and active risk management.

Strengths:Governance Maturity, Technical Safety, Risk Assessment, External Engagement
Weaknesses:Regulatory Readiness
Focus Areas
mldrmodel securityadversarial defenseai threat intelligence
Table of Contents

Security Assessment

Security-relevant indicators for vendor evaluation

Security Posture
57
TS-01dim: 62
Red Teaming & Pre-deployment Testing
Adversarial testing before deployment
TS-05dim: 62
Robustness & Adversarial Resilience
Resistance to adversarial attacks
RA-01dim: 52
Sector-Specific Risk Assessment
Risk analysis for deployment context
RA-03dim: 52
Dual-Use & Misuse Risk
Dangerous capability awareness
RA-07dim: 52
Incident History & Track Record
Past incidents and response quality
EE-04dim: 58
Vulnerability Disclosure Program
Bug bounty or CVE reporting process
Incident History
HiddenLayer 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.
50
TS
Technical Safetypreliminary
Benchmarks, adversarial robustness, fine-tuning safety, watermarking, model cards, research output.
62
RA
Risk Assessmentpreliminary
Dangerous capability evaluations, thresholds, external testing, bug bounty, halt conditions.
52
RR
Regulatory Readinesspreliminary
ISO 42001, EU AI Act compliance, GPAI obligations, international commitments, incident reporting.
48
EE
External Engagementpreliminary
Survey participation, research support, transparency, behavior specs, open-source contributions.
58

Social Impact & Safety Profile

Moderate

HiddenLayer pioneers the MLDR (Machine Learning Detection & Response) category - providing runtime protection for AI models against adversarial attacks, model poisoning, and inference manipulation. Their AI Threat Landscape report is an industry-referenced resource on AI-specific attack vectors.

model-level detectionadversarial defenseai threat intelligence

Peer Comparison

CrowdStrike AI Security
B55

Runtime Protection

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Wiz AI Security
B-54

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Palo Alto Networks AI Security
B-48

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RAXE
B-48

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Data Sources & Methodology

Scoring methodology v0.1 · 40 indicators · 6 frameworks

Last assessment: 2026-03-23 · Confidence: medium · Evidence: 5 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.