MetricsLM
AI agent trust and certification platform — assess, benchmark, and continuously monitor AI agents. IEEE CertifAIEd compliance passport for enterprise buyers and regulators.
What it does
AI agent trust and certification platform that provides a 'Compliance Passport for AI'. Assesses, benchmarks, and continuously monitors AI agents against trust metrics. Serves both AI vendors (who get assessed and certified) and enterprise buyers (who can evaluate vendor agents before procurement). Features tiered assurance levels from self-declared to independently audited, with risk categorisation and audit trails. Aligned with IEEE CertifAIEd standards. Customers include BayernLB, Accenture, and Davies. Also serves VCs and analysts evaluating AI companies in their portfolio.
Security relevance
Creates a standardised trust layer for the AI agent ecosystem — addressing the problem that enterprises have no reliable way to evaluate the safety, reliability, and compliance posture of third-party AI agents before deploying them. The continuous monitoring aspect catches drift between certification and actual behaviour. The IEEE CertifAIEd alignment provides a standards-backed framework rather than proprietary scoring.
When to use it
Use when procuring or evaluating third-party AI agents and you need standardised trust metrics beyond vendor self-attestation. Also valuable for AI vendors who want to demonstrate compliance and build buyer confidence. The benchmarking capability is useful for organisations comparing multiple AI agent vendors.
OWASP coverage
Risks addressed — mapped to both OWASP Top 10 standards. 2 in LLM, 3 in Agentic.
The raw record
What Yuntona stores. Single source of truth — fork it on GitHub.
name: MetricsLM slug: metricslm type: Mixed category: AI Governance & Standards url: https://metricslm.com reviewed: 2026-04 added: 2026-04 updated: 2026-04 risks: llm: [LLM03, LLM09] asi: [ASI01, ASI04, ASI06] complexity: Plug & Play pricing: — audience: CISO · GRC lifecycle: [govern] tags: [Benchmarking, Certification, Commercial, IEEE, Trust]