Context first
First understand the actual processing, the purpose and what the person expects — then pick the legal construct.
Kirill Ziubanov
The fastest way to get to know me
I built the privacy function of the merged company (RWB) from scratch and lead an international team — from Russia to Asia and Africa.
Privacy and Awareness in one department means managing expectations on both sides. Inside the company, the business needs to understand what is expected of it and why. Outside, customers, partners and regulators need to see how the company actually handles data.
Rules nobody was told about don’t get followed. A story without rules is a promise with nothing to back it up.
The team launched privacy.wildberries.ru — a public site about treating personal data with care. I led the launch of legal.wildberries.ru — a single place to publish legal documents: versions, languages, jurisdictions.
Finance → Big Tech → Global e-commerce · UniCredit · Sber · Yandex · Wildberries & Russ. Early compliance track — Stryker.
“Effective Legal Protection of Personal Data” category in Legal Insight’s ranking of in-house legal departments.
“Any complex field becomes clear once you turn it into a system” Speaker · Builder
Context → Law → Product → Process → Control → Metrics → Automation
First understand the actual processing, the purpose and what the person expects — then pick the legal construct.
Privacy isn’t just shifted left, to the start of a project — it’s built into every stage of the product and process lifecycle.
The DPO is part of decision-making, not someone who shows up at final sign-off.
Transparency lives not only in the policy but also in the interface and the user experience.
Privacy is a shared responsibility of process and product owners, managed through risk-based controls.
Not just reviewing incoming projects but auditing processes already in production.
The routine gets templated and automated — expert attention goes to the ambiguous.
Not the number of documents but the quality of the system
AI is a layer of working infrastructure, not a chat with answers: research, analysis, agents, RAG, MCP and the automation of expert processes.
I’ve been exploring the automation of legal work since 2022 — from machine-assisted anti-corruption review of legal acts to privacy tools: automated checks, observation-first scanning, AI-assisted research.
Knowledgeable Privacy Benchmark — an experimental research project: testing how much AI actually knows about privacy rather than how confidently it talks about it.
Privacy evaluation of AI models — I research how to test open-weight models for memorization and data extractability: membership ≠ memorization ≠ extractability, synthetic canaries instead of real data. The legal side: how to honor a data subject’s erasure request when their data has ended up inside a model.
I teach what I’ve done myself: where the boundaries of the personal data concept lie, how a legal basis is chosen and how a privacy function is built — from the first conversation with the business and the budget to the team and the signs that it all works. Examiner for the PPCP/C certification, member of working groups on improving data protection legislation.
I speak in Russia and at in-person international conferences — Minsk, Tashkent, Bishkek. My own venue is WB Privacy & Day, which we put together in 2025 and 2026.
Guest of the fifth episode of Privacy.Seasons, Comply’s podcast (in Russian): the all-directions role of a DPO, weaving the privacy function into GR, PR, Legal and Security, managing expectations, and why personal data is not a commodity.
A narrative card game for two teams: ~100 cards, real cases under the GDPR and Russia’s Personal Data Law, live discussion. I came up with the idea, the mechanics and the rules — the first game of its kind in the Russian-speaking privacy community.
Learn moreA five-minute privacy sprint: 2–6 players, no legal knowledge needed — even people far from privacy play it.
Learn moreI research consent and the architecture of legal bases — across national regimes rather than within one.
Russian Foreign Trade Academy — international law → HSE University — master’s in compliance → HSE University — PhD in Law, information law.
My own research concept: a critique of consent as the universal “default” legal basis.
Consent is judged by the functions it actually performs, not just its formal elements.
The choice of basis follows the context of processing, not the convenience of documentation. The reverse hierarchy ranks the bases by two criteria — how tied they are to the context and how much they depend on the data subject’s own action.
What matters to a person isn’t documents but transparency, clarity and a real ability to influence the processing.
Selected publications
Practical materials
Events, discussion clubs and materials for privacy enthusiasts — including the “Whispers about AI” format. In Russian.
My own takes, observations and memes about personal data — this is where I’m a privacy memologist. In Russian.
A channel of case law analyses and presentations on personal data. In Russian.
Field observations and bird photography — from Moscow to Selous: 135 checklists on eBird. My photos and notes (in Russian) are in the channel Beak-Bearing Surface.
From Central Asia to Western Europe — the full route runs in the ticker below.
Dungeon Master: original storylines and horror one-shots — from Exandria to the “Scary Tavern.”
I collect rare and unusual magic props from all corners of the planet.
Films, series and theater — reviewed (in Russian) in the channel Temporary Art Asylum.
I play guitar and piano, and I sing.
I play: the same logic as at work — think a few moves ahead.