Malaysia is putting new institutions, standards and policy frameworks in place to support responsible artificial intelligence. The Ministry of Digital began engagement in July on a proposed Artificial Intelligence Governance Bill, describing it as Malaysia’s first horizontal legal framework dedicated specifically to AI governance.

The proposed framework uses a risk-based approach. Malaysia has also launched AI Malaysia Berhad, introduced the National AI Action Plan 2026-2030 and established the Malaysia AI Safety Institute. Together, these measures support the country’s ambition to become an AI Nation by 2030 while strengthening governance, safety and public confidence.

Kuala Lumpur-developed technology venture Proof of Knowledge (POK) believes this direction raises a practical question for every organisation adopting AI: what information should an AI system be allowed to rely upon?

When AI relies on the wrong information

An AI system can be secure, well governed and operating as designed, yet still produce an unsafe or misleading answer if its source material is outdated, unapproved or impossible to verify. The risk becomes greater when an answer informs a decision, generates a report, recommends an action or enters an automated workflow.

Consider an employee asking an AI assistant for the current procedure for responding to a safety incident. The system may find three similar documents: an approved procedure that has been replaced, a working draft and the current approved version. All three may look legitimate. Only one should guide action.

The same problem can arise with compliance policies, engineering instructions, government circulars, contracts and professional guidance. Information is frequently copied, downloaded, emailed, summarised or moved between systems. In that process, the connection between a document and the evidence of its origin, approval and status can weaken.

AI governance and information governance

“Governing the AI model is essential, but it does not answer every question,” said Jordan Richards, co-founder of Proof of Knowledge. “Organisations also need to know what information the system used, where it came from, whether it was approved and whether a newer version has replaced it.”

AI governance sets responsibilities for how AI is developed, deployed, monitored and controlled. Information governance deals with the records, policies and knowledge on which people and systems rely. The two disciplines overlap, but they are not the same.

Permissions can limit which files an AI tool can open. Document-management systems can organise content and workflows. Those controls remain important. POK addresses a different need: preserving verifiable evidence about an information item’s source, integrity, version, validation history and lifecycle, even as the item is used across different environments.

How Proof of Knowledge works

In plain English, POK creates a unique digital fingerprint for a piece of information. If the information changes, the fingerprint changes. The platform can associate that fingerprint with evidence showing where the item came from, which version it is, whether it was approved and whether it has been superseded.

POK does not claim to prove that information is objectively true. It is designed to help an organisation establish whether information is what it claims to be, where it came from and whether it is the version currently authorised for use.

The underlying file can remain within the organisation’s existing security and information controls. POK is designed to work alongside document management, records management, knowledge management and enterprise AI platforms, rather than replace them.

Trust by design includes source verification

In March, the Ministry of Digital described the MY-AI Standards as a form of trust infrastructure and said they would support clear, transparent and auditable standards through a trust-by-design approach. POK believes the same principle should extend to the information that AI systems consume.

Source verification gives organisations a practical way to ask whether a system relied on approved material and whether that material remained current at the time of use. It can also provide evidence for later review when an AI-assisted recommendation or decision needs to be examined.

For regulated and high-consequence sectors, that evidence may become as important as the answer itself. A trustworthy AI environment depends on controls around the model and dependable evidence around the information supplied to it.

Malaysian pilot opportunity

POK is preparing its enterprise platform for commercial validation and is inviting a small number of Malaysian organisations to explore potential pilot use cases. It is particularly interested in enterprise AI, policy assurance, regulated information and operational knowledge where reliance on the wrong version could create material risk.

The pilot discussions will focus on practical questions: which information an AI system should use, how approved status can be checked, how replaced versions can be identified and what evidence an organisation needs before people or systems act.

About Proof of Knowledge

Proof of Knowledge (POK) is an international technology venture developing a platform for verifiable evidence around information source, integrity, version, validation and lifecycle. Developed from Kuala Lumpur for a global market, POK is designed to work alongside existing enterprise information and AI systems while underlying content remains under organisational control. Aspects of the technology are the subject of a pending U.S. patent application; no patent has been granted.

Proof of Knowledge

Kuala Lumpur, Malaysia

http://www.proofofknowledge.io

info@proofofknowledge.io

Source notes for editors

Source: Malaysia Ministry of Digital, “Ministry Of Digital Initiates Engagement On Proposed Artificial Intelligence (AI) Governance Bill,” 10 July 2026.

Source: Malaysia Ministry of Digital, “MY-AI Standards To Anchor Trusted AI Development And Address Deepfake Risks,” 16 March 2026.

Source: Malaysia Ministry of Digital, “AI Malaysia — Driving the Journey Towards an AI Nation by 2030,” 28 July 2026.

Source: AI Malaysia Berhad, “National AI Action Plan 2026-2030 Fact Sheet.”