KognosysSENANGAITalk to us ↗KOGNOSYS FIELD NOTES
Clear thinking for
governed enterprise AI.
Practical guidance for technology, risk and compliance leaders building AI that remains private, permission-aware and accountable.
LATEST / 17 FIELD NOTES
Research and guidance
for consequential AI.
The sovereignty gap in AI Malaysia’s July 2026 relaunch.
AI Malaysia commits to youth access and vendor neutrality. Sovereign cloud, the CLOUD Act and security oversight remain open questions.
READ THE ANALYSIS ↗
11PHOTO · Esmonde Yong / UNSPLASHMALAYSIASOVEREIGN AI
PHOTO · Habib Ilmi / UNSPLASHMalaysia’s proposed AI Governance Bill: what enterprises should prepare now.
The 2026 consultation is not yet law, but it clearly raises the standard for AI inventory, accountability and evidence.
READ FIELD NOTE ↗
PHOTO · Artem Korolev / UNSPLASHMalaysia’s National AI Action Plan 2026–2030: the enterprise governance agenda.
What AI Nation 2030 means for organisations building trusted, locally accountable and high-impact AI.
READ FIELD NOTE ↗
PHOTO · Beatriz Cattel / UNSPLASHMalaysia AIGE: turning seven responsible AI principles into operating controls.
A practical enterprise interpretation of Malaysia’s National Guidelines on AI Governance and Ethics.
READ FIELD NOTE ↗
PHOTO · Johnny Guitar / UNSPLASHThe ASEAN Generative AI Guide: six risks enterprise teams must operationalise.
A control-focused reading of ASEAN’s expanded guidance for trustworthy generative AI deployment.
READ FIELD NOTE ↗
PHOTO · Rick Rothenberg / UNSPLASHAgentic AI governance in ASEAN: autonomy needs boundaries, checkpoints and proof.
What Singapore’s 2026 framework means for enterprises deploying agents across Southeast Asia.
READ FIELD NOTE ↗
PHOTO · Sebastian Schuster / UNSPLASHAI governance for Malaysian financial services: trust belongs on the board agenda.
How BNM’s 2025–2026 direction changes the control expectations for models, agents and financial decisions.
READ FIELD NOTE ↗
PHOTO · Taylor Vick / UNSPLASHSovereign AI in Malaysia: control means more than data residency.
A practical control model for law, data, infrastructure, models, organisational memory and accountable action.
READ FIELD NOTE ↗
PHOTO · Manuel Luikenga / UNSPLASHHow to evaluate sovereign AI without buying a promise.
Seven architectural questions that reveal whether control is real—or disappears after the sales presentation.
READ FIELD NOTE ↗
PHOTO · Caroline Badran / UNSPLASHThe governed memory layer: from knowledge to accountable action.
A concise map of how scoped knowledge, intelligent routing, agents, skills and audit evidence work together.
READ FIELD NOTE ↗
PHOTO · Ildefonso Polo / UNSPLASHFrom policy to incident timeline: why reconstruction cannot wait.
The evidence an organisation needs before an AI incident becomes a reporting deadline.
READ FIELD NOTE ↗
ILLUSTRATION · KOGNOSYSMalaysia’s PDPA amendments: what they change for AI data handling.
The Personal Data Protection (Amendment) Act 2024 raises penalties, adds a mandatory DPO and replaces the cross-border transfer whitelist. Here is what that means for systems built on retrieval and language models.
READ FIELD NOTE ↗
ILLUSTRATION · KOGNOSYSSecurities Commission Malaysia’s proposed AI oversight rules for listed companies.
A July 2026 consultation would add board-level AI ownership and disclosure to the Malaysian Code on Corporate Governance. What Bursa Malaysia-listed companies should test before it becomes a requirement.
READ FIELD NOTE ↗
ILLUSTRATION · KOGNOSYSEvaluating AI vendors: a due diligence framework procurement teams can run.
Marketing language about “enterprise-grade” AI rarely survives a specific question. A due diligence framework grounded in ISO/IEC 42001 and the NIST AI Risk Management Framework, for teams buying rather than building.
READ FIELD NOTE ↗
ILLUSTRATION · KOGNOSYSDesigning human oversight into agentic AI systems.
Agentic AI governance in ASEAN sets the policy expectation for human checkpoints. This field note covers the architecture: where approval gates sit, what evidence they need, and how to avoid oversight that exists only on paper.
READ FIELD NOTE ↗
ILLUSTRATION · KOGNOSYSWhat ungoverned AI actually costs: enforcement signals worth reading.
Regulators moved from guidance to penalties through 2026. A look at what has actually happened, in Malaysia and abroad, and what it implies for enterprises still treating AI governance as optional.
READ FIELD NOTE ↗
ILLUSTRATION · KOGNOSYSEnterprise AI governance terms explained: a Malaysia and ASEAN reference.
Plain-language definitions for the frameworks, roles and controls that recur across Malaysian and ASEAN AI governance, from AIGE and PDPA to human-in-the-loop and model routing, with a pointer to where each is used.
READ FIELD NOTE ↗NEW FIELD NOTES
Useful thinking.
No content theatre.
Ask to receive new Kognosys field notes on governed memory, agent accountability and sovereign AI.
Request updates ↗