Singapore AI Verify — The Open-Source Testing Stack Becoming a Global Benchmark

TL;DR — Singapore's AI Verify Foundation runs an open-source testing framework that checks AI systems against 11 internationally recognized governance principles. The May 2025 update covers generative AI; ISO/IEC 42119-8 (Singapore-led) is the first international standard for testing GenAI. Adoption is global — AWS, Google, IBM, Microsoft, and Salesforce sit on the board.

What the framework says

AI Verify is a self-test toolkit plus a governance framework. Eleven principles map to four broad areas:

1. Transparency — explainability, AI-generated content marking
2. Accountability — human oversight, redress, repeatability
3. Fairness — bias and disparate-impact testing
4. Safety + robustness — adversarial testing, security, data governance

Tests are split into technical tests (automated probes against the model) and process checks (documentary evidence of governance). Output is an audit-ready report.

The Foundation has 9 premier members and 180+ general members. Singapore's January 2026 Model AI Governance Framework for Agentic AI extends the test suite to agent loops, tool use, and multi-step planning.

flowchart LR
  IN[AI system + docs] --> TT[Technical tests]
  IN --> PC[Process checks]
  TT --> METRICS[Bias + robustness metrics]
  PC --> EVID[Governance evidence]
  METRICS --> RPT[AI Verify report]
  EVID --> RPT
  RPT --> PUB[Publish or share with buyer]

What this means for AI vendors

Three reasons to adopt AI Verify even if you do not sell to APAC:

• Open-source toolkit — you can run the same tests internally before any third-party audit; no licensing.
• ISO alignment — ISO/IEC 42119-8 will be the de facto GenAI testing reference globally.
• Buyer signaling — passing AI Verify is a credible, low-marketing-noise way to claim trustworthiness.

The toolkit checks bias on tabular and image models out of the box; LLM bias evals were added in the May 2025 release.

CallSphere posture

CallSphere runs AI Verify-style tests on every release. The 37 agents ship with bias, robustness, and explainability scorecards generated by the open-source toolkit, then archived alongside HIPAA + SOC 2 evidence. 6 verticals, 90+ tools, 115+ DB tables, 50+ businesses, 4.8/5 rating.

• Starter — $149/mo · 2,000 interactions · per-vertical bias scorecard
• Growth — $499/mo · 10,000 interactions · custom test plan per workspace
• Scale — $1,499/mo · 50,000 interactions · full AI Verify report + ISO 42119-8 trace

14-day trial, 22% lifetime affiliate. Run AI Verify on your workload or request a sample report.

Compliance checklist

1. Install the AI Verify toolkit in your CI pipeline.
2. Map each agent to the 11 principles and document evidence.
3. Run technical tests on every model release; archive with version tag.
4. Generate a process-check binder for each major workspace.
5. Compare results across releases — track regression.
6. Share reports with buyers under NDA when requested.
7. Prepare for ISO/IEC 42119-8 final-publication evidence.

FAQ

Q: Is AI Verify mandatory in Singapore? No, it is voluntary. But the Monetary Authority of Singapore and several public-sector RFPs reference it.

Q: Does it work with proprietary closed models? Yes — black-box tests run via API. White-box tests need access you typically only have for first-party models.

Q: How does it relate to NIST AI RMF and ISO 42001? AI Verify is the test execution layer; RMF is the risk function model; ISO 42001 is the management system. Run all three.

Q: Is the toolkit really free? Yes — Apache 2.0 license. The Foundation funds maintenance via members.

Q: How often should we re-test? At every model upgrade, dataset refresh, or material prompt change. Quarterly minimum.

Sources

• AI Verify Foundation
• What is AI Verify
• Singapore Champions Global AI Testing Standardisation — IMDA
• Model AI Governance Framework for Agentic AI — IMDA

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