Let’s build.
Together.

A clearer path to safer AI.

I’m Alan Vo. I help people understand the tradeoffs, question assumptions, and make thoughtful decisions about how AI is used, governed, and trusted.

Portrait of Alan Vo
Alan VoEngineer. Mentor.
Today’s security readingCVE-2026-41709 Broadcom VMware ESXRead the brief

Where we can
work together.

The questions behind the technology: what to trust, who owns the decision, and what evidence we need to move forward. A shared understanding makes the next step clearer.

Safer AI
& mentorship

Develop the judgment to question an AI system, challenge its assumptions, and decide where human oversight belongs.

  • A shared language for AI risk & responsibility
  • Decisions about autonomy, oversight & acceptable use
  • Learning from evaluations, incidents & real examples
People & decisions

Audit readiness
& evidence

Make the connection between how work happens, the controls people rely on, and the evidence that explains them.

  • Control intent, ownership & evidence
  • Clear narratives for reviewers & stakeholders
  • Gaps translated into decisions & priorities
Trust & assurance

GovCloud
& assurance

Understand the requirements, responsibilities, and architectural choices behind decisions in government cloud environments.

  • Readiness before choosing a platform or service
  • Shared responsibility & authorization boundaries
  • Clear decisions for engineering & assurance teams
Context & accountability

SecSI.

Security Superintelligence

Think further.
Keep the controls real.

A direction I’m exploring for AI-powered security: sharper context, useful automation, and engineering judgment at the points that matter.

Defined permissions. Traceable decisions. Evidence you can inspect. The foundations for more capable security systems.

Let’s explore it

Security, in practice.

CVE fixes. Cloud deployment checks. Engineering notes.
Less noise. A clearer next step.

Explore the journal

CVE guides combine public advisories with cloud-specific deployment checks. Sources, applicability, and verification steps stay explicit.

A mentor’s perspective.
An engineer’s judgment.

The most useful answer is one people understand well enough to question, explain, and carry forward.

My writing and open-source work explore agents, model evaluation, AI safety, and the evidence behind technical decisions. I’m especially interested in safer AI adoption, meaningful audit conversations, and the choices involved in government cloud environments.

I value clear communication, shared ownership, and learning from the people I work with. Good guidance should leave people more confident in their own judgment and better prepared for the next decision.

Explore my work on GitHub

Let’s talk.

Have an idea, a shared challenge, or something you’d like to explore? I’d be glad to hear from you.

Start with a conversation. We can work out the next step together.

[email protected]

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