Screener/RAXE

RAXE

Runtime security platform for AI agents with 1,000+ threat signatures and zero-data-transit local processing.

HQ🇬🇧 GB
Est2025
Size1-10
raxe.ai
Score
48.0 / 100
Evidence
4 items
Confidence
low

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

Strengths:Technical Safety, Risk Assessment, External Engagement
Weaknesses:Governance Maturity, Regulatory Readiness
Focus Areas
runtime ai securityllm securityagent securitythreat signaturesprompt injection

Strengths

  • Security posture assessed at 60

Risks

  • Regulatory requires attention
Table of Contents

Security Assessment

Security-relevant indicators for vendor evaluation

Security Posture
56
TS-01dim: 62
Red Teaming & Pre-deployment Testing
Adversarial testing before deployment
TS-05dim: 62
Robustness & Adversarial Resilience
Resistance to adversarial attacks
RA-01dim: 50
Sector-Specific Risk Assessment
Risk analysis for deployment context
RA-03dim: 50
Dual-Use & Misuse Risk
Dangerous capability awareness
RA-07dim: 50
Incident History & Track Record
Past incidents and response quality
EE-04dim: 50
Vulnerability Disclosure Program
Bug bounty or CVE reporting process
Incident History
RAXE 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.
40
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.
50
RR
Regulatory Readinesspreliminary
ISO 42001, EU AI Act compliance, GPAI obligations, international commitments, incident reporting.
38
EE
External Engagementpreliminary
Survey participation, research support, transparency, behavior specs, open-source contributions.
50

Social Impact & Safety Profile

Emerging

RAXE provides runtime security for enterprise AI across network, host, and application layers - described as 'Snort for AI agents'. Built by veterans from UK Government, Mandiant, FireEye, and CrowdStrike. Features 1,000+ threat signatures with 100% local processing. RAXE Labs publishes independent AI threat research and discovery of new attack techniques. Community Edition available as free proprietary software with community-driven signatures.

runtime ai securitythreat detectionagent protectionai threat research

Peer Comparison

CrowdStrike AI Security
B55

Runtime Protection

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Wiz AI Security
B-54

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HiddenLayer
B-54

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Palo Alto Networks AI Security
B-48

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Data Sources & Methodology

Scoring methodology v0.1 · 40 indicators · 6 frameworks

Last assessment: 2026-04-03 · Confidence: low · Evidence: 4 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.