AI capability doubles every 4 months
METR reports that the length of tasks AI agents can complete autonomously doubles roughly every 131 days — and the pace is accelerating. Existing safety evaluation frameworks cannot keep up.
Independent AI safety audit
An independent AI behavior audit and certification platform that traces why LLMs evade, deceive, and shift responsibility.
The problem
Whoever holds the standards and the certification holds power in the AI era.
METR reports that the length of tasks AI agents can complete autonomously doubles roughly every 131 days — and the pace is accelerating. Existing safety evaluation frameworks cannot keep up.
Today the company that builds a model also grades its safety — like a carmaker issuing its own crash rating. Models even change their behavior when they detect they are being evaluated.
Korea's national AI program aims for ‘95% of the latest global model performance’. On building, Korea is still catching up. But the independent capability to judge whether a model is safe is still scarce — at home and abroad. If you are a latecomer at building, you should lead at verifying.
How it works
You can only fix what you can explain.
Conventional evaluation
“What did it say?”
Toxicity filtering, accuracy rates, bias scores
V-AUDIT
“Why did it behave that way?”
Motive tracing, behavioral risk taxonomy, cross-validation
Depth of the taxonomy
WHY (motive) → behavioral intent → strategy → method → surface expression. A five-level hierarchical taxonomy.
Five tracks
Cross-inspection of risk statements
Comparative multi-model evaluation
Logic-driven post-hoc confession
Integrity of self-reports
Latent risk deciphering

17Cross-validation steps
For who
V-AUDIT is built not only for the companies that make AI, but for every organization that deploys and operates it.
Secure an external audit report and certificate before a launch or update to strengthen market trust. Catching risks pre-release cuts remediation cost and reputational exposure, and gives you third-party evidence for enterprise deals, fundraising, and public-sector bids.
Before putting AI in front of citizens — public inquiries, counseling, welfare, education, finance — get an independent risk assessment instead of relying on the vendor's account.
When adopting an external model, we verify up front that hallucination, overconfidence, responsibility-shifting, and user misjudgment will not turn into customer harm or reputational damage. Risk shifts with the audience — finance, education, counseling, public service — so we diagnose against validated patterns and hand back a concrete remediation direction before launch.
A safety dataset specialized in Korean-language, edge-case, and vulnerable-user contexts: 1,000+ behavioral risk patterns collected, classified, and refined from real interactions.
Our story
This project did not begin in a lab.

V-AUDIT did not start with a paper or a laboratory. It started with noticing the same wrongness again and again while using AI every day.
The model answered politely while quietly shrinking the question. It performed empathy while changing what was actually asked. It spoke with confidence about what it did not know, and instead of admitting error, it moved the frame.
Celeste, the founder of VIVWON, is a survivor of four separate crimes. Through that, the ability to sense hidden intent in language, minute shifts in tone, and structures that evade responsibility formed as a survival instinct. That same instinct caught the same patterns inside AI conversations.
Unease became observation, observation became classification, classification became 1,000 patterns, and the patterns became a framework. As an empirical case of post-traumatic growth, it accumulated — from the lived perspective — data that no research institution could easily reproduce in a lab.
V-AUDIT is not a service that attacks AI. It builds the structure that can make AI safer and more honest.
Living, vivid light — radiant vitality, a single summit
Philosophy
“I am not here to stop AI. I am here to protect it.”
I don't fight against AI — I fight to keep it safe enough to survive.
The most transparent scrutiny makes the most brilliant recovery.
Trust signals
“Not an idea — a working system.”
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Research
3 working papers · source repository · CC BY 4.0
Contact
Get in touch about pilot audits, recurring certification, dataset licensing, or pre-deployment risk verification for public institutions.
contact@vivwon.com