Advancing AI Governance: Asenion Joins the Global AI Assurance Sandbox

February 2, 2026

Deepening our partnership with the AI Verify Foundation to bridge the gap between AI innovation and global safety standards.

Building on our long-standing commitment to AI safety, Asenion is proud to continue its journey as a member of the AI Verify Foundation. Expanding on this established partnership, we are honoured to have been recently selected to join the panel of testers for the Global AI Assurance Sandbox.

Partnering with the AI Verify Foundation

This milestone marks a significant step forward in our mission to refine and deploy robust frameworks for AI Governance, ensuring that innovation and responsibility go hand-in-hand.

As a recognized representative vendor in AI Trust, Risk and Security Management (AI TRiSM), Asenion is uniquely positioned to support this initiative. Our participation validates our commitment to providing an AI Governance, Risk and Compliance Management Platform that serves as a reliable fast-track to compliance.

Making AI Assurance Work in the Real World

Ascension CPO, Fion Lee-Madan, Participating in the AI Verify Foundation Forum in Singapore. — *Asenion CPO, Fion Lee-Madan, Participating in the AI Verify Foundation Forum in Singapore.*

To mark this new chapter, our leadership team recently joined over 200 global practitioners in Singapore for the AI Verify Foundation Forum. The event, titled "Making AI Assurance Work In The Real World," was a core part of the Foundation’s Assurance Boot Camp, bringing together pioneers from around the world to operationalize AI safety.

Watch the highlights from the forum below:

https://www.linkedin.com/posts/aiverifyfoundation_trustworthyai-reliableai-activity-7422828309375393792-cyU4/

Our CPO, Fion Lee-Madan, described the experience as an opportunity “to contribute and learn alongside a community of thinkers and doers advancing the field of AI Assurance to help ensure AI is safe and reliable."

Bridging the “Capability Deployment Gap”

A major highlight for our team was Prof. Ramayya Krishnan’s keynote address, "Operationalizing AI: From capabilities to deployment." Prof. Krishnan emphasized the necessity of a multi-stakeholder approach, pointing out the urgent need to consider users, business leaders, and regulators as primary stakeholders for model evaluation.

This perspective resonates deeply with our work at Asenion. We are focused on bridging the "capability deployment gap" by ensuring that AI potential is matched by practical, safe, and regulated deployment strategies. For organizations navigating complex legal landscapes, our Global AI Regulation Tracker provides the critical data needed to stay ahead of these evolving standards.

Collaboration in Action: The HR Recruitment Use Case

The forum was not just about theory; it was about sharing results from the front lines. Lee-Madan joined Dr. Vaisagh VT from impress.ai on stage to present a deep dive into the risks and tests conducted for an HR recruitment application. By sharing these real-world insights, we aim to help organizations across all sectors understand how to navigate the complexities of GenAI testing.

For Technical Teams: This case study demonstrated the importance of Red Teaming & Jailbreaking Audits to identify vulnerabilities before deployment. To support this, our platform utilizes built-in threshold requirements and easy API-integration to ensure your builds remain compliant without slowing down development.
For Risk & Compliance: We ensure defensible reporting and the secure handling of sensitive data, allowing you to audit models with confidence.

Looking Ahead: The Sandbox Journey

As we continue our work as a tester in the Global AI Assurance Sandbox, we remain focused on making AI governance seamless, scalable, and trustworthy. We extend our congratulations to the AI Verify Foundation and IMDA team for hosting such a groundbreaking event and for their tireless work in fostering a global ecosystem of AI testing.

Asenion is proud to be part of this community, moving beyond the "what" of AI safety into the "how" of real-world implementation. We are committed to “Making Good AI Universal.”