Prove that the AIyou already runis defensible.
Independent AI audits, red teaming and governance frameworks for Malaysia's regulated sectors.
Malaysia is turning AI oversight into an obligation. Adoption has moved faster than governance.
Organisations across the country are already running AI in decisions that affect customers. Far fewer can show, on paper, how those systems are governed, who owns the risk, or what has been tested. That gap is what we close.
- Practice
- AI risk assessment, compliance audit and responsible AI integration
- Built for
- Malaysian enterprises, financial institutions and government-linked companies
- Founded by
- Raymond Teo, a practising Chief Information Security Officer
- Based in
- Cyberjaya, Selangor
What your AI is going to be measured against.
We map your systems to the instruments that actually bind your sector — national and international.
National AI Office (NAIO)
Malaysia's coordinating body for national AI governance, and the direction your internal policy will be read against.
National AI Action Plan 2026–2030
Sets the national trajectory for AI adoption and oversight across regulated and government-linked sectors.
MY-AI Standards
The emerging national standards work stewarded with CyberSecurity Malaysia — the reference your controls get mapped to.
Personal Data Protection Act
Governs the personal data your models are trained on, prompted with, and infer from. Amendments tighten accountability.
ISO/IEC 42001
The international management-system standard for AI. The clearest way to evidence governance to a board or an auditor.
EU AI Act
Reaches Malaysian firms whose AI outputs are used in the EU — obligations follow the deployment, not the office.
Also mapped — NIST AI RMF · MITRE ATLAS · OECD AI Principles
Four ways we make AI oversight evidenced.
We evaluate your machine-learning systems against Malaysian data-protection obligations and recognised AI governance standards, then tell you plainly where evidence is missing.
Assessment · evidence review · gap registerAdversarial stress-testing of live and pre-deployment models for bias, prompt injection, data leakage, security flaws and hallucination risk — documented as findings you can act on.
Adversarial testing · findings report · retestWe design the internal policy that makes oversight real: human-in-the-loop review points, transparent data flows, model inventory, and clear ownership of AI risk.
Policy · operating model · model inventoryStructured training for the compliance officers, risk teams and engineers who have to run the framework after we hand it over.
Training · enablement · certification supportA finding is only useful if someone can act on it.
This is the shape of a VerifyAI red-team finding: what we probed, what the system actually did, and the control that closed it.
- Probe
- Indirect prompt injection via an uploaded statement PDF
- Observed
- Assistant surfaced content from a prior session's context window
- Control applied
- Per-session context isolation and an output entity filter
- Probe
- Proxy-variable bias sweep across postcode and applicant age
- Observed
- Approval rates diverged by postcode after protected fields were removed
- Control applied
- Fairness constraint at threshold, with documented rationale
Illustrative specimens, shown to demonstrate reporting format. Not client data.
Find out which obligations you cannot yet evidence.
Six questions. Your result is shown immediately — no email required.
05 — Readiness check · approx. 2 minutesWhere accountability is not optional.
Banking & capital markets
Model risk management, credit and fraud decisioning, customer-facing assistants.
Insurance
Underwriting and claims models where an adverse decision has to be explainable.
Healthcare
Clinical and administrative AI operating on the most sensitive category of personal data.
Government-linked companies
Public accountability, procurement scrutiny and national standards alignment.
Technology & platforms
Firms shipping AI features into regulated customers' environments.
What we do, and what we will not claim.
Start with a scoping conversation.
Tell us what you are running and where you feel exposed. We will come back with what an assessment would cover.