AAOABDULLAH AL OWASI

Technology risk · GRC · AI governance

Governance,
made inspectable.

Controls you can test. Evidence you can trace. Decisions you can explain.

Explore the evidence
AAO monogram with a sweeping silver line and Abdullah Al Owasi wordmark

Independent work. Explicit assumptions. Inspectable results.

Executive observatory

Read the risk.
Question the evidence.

A working view of the portfolio’s modeled risk register and automated technical checks.

Modeled portfolio data

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Three disciplines.
One evidence trail.

Ten original project domains, organized around the decisions a security team needs to make.

01 / ASSURANCE

Trust, with a basis.

Control mapping, customer assurance, procurement responses and processor governance.

Domains 1, 4, 8, 9

↗
02 / AI GOVERNANCE

Oversight, by design.

AI inventory, vendor triage, transparency evidence and local prompt screening.

Domains 2, 3, 6, 7

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03 / CONTINUOUS MONITORING

Evidence, kept current.

Scheduled collectors, explicit findings, freshness checks and executive risk reporting.

Domains 5, 10

↗
Inspect all ten domains ↗

A decision you
can interrogate.

Change a vendor intake assertion. Inspect how the recommendation changes. This browser demonstration does not call an AI model.

Vendor triage sandbox

Recommendation

Awaiting evaluation

  • Select the available evidence and evaluate the intake.

Illustrative triage only. An accountable reviewer must verify the evidence and approve the decision.

The person behind the work

Abdullah
Al Owasi.

I work at the intersection of technology risk, security assurance and AI governance.

Based in Petaling Jaya, Malaysia, I’m building independent governance systems that make the reasoning visible: what was tested, what the evidence supports and what still needs a decision.

My portfolio covers fifteen control domains, fifteen AI use cases and ten vendor scenarios. These are work samples, with modeled data and explicit limitations.

Inspect my GitHub ↗Professional profile ↗

GRC · Technology risk · AI governance

Let’s make the
next decision clearer.

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