ESTENA Consultation

News analysis9 October 2026

Data leaks and lookup bots: why personal data is also reputation

Addresses, phone numbers and documents from leaks are becoming instruments of pressure. Here is what can be done.

Article cover for “Data leaks and lookup bots: why personal data is also reputation”

Database leaks and paid “lookup” services have made personal data available to anyone willing to pay. For public figures and business owners, this is a risk not only to security but to reputation: the data is used for blackmail, planted stories and pressure.

What can be done

Find out exactly where your data has been published
Send demands to stop processing under Russian data protection law (152-FZ) where applicable
Have the pages de-indexed from search engines
Put your name and key details under monitoring

We can help with this24/7 mention monitoringHear about a new mention before a bank or a journalist does

Illustration for “What can be done”

Our view

Leaked data cannot be erased entirely, but its visibility in search can be sharply reduced, and new publications can be caught early.

Closing illustration for “Our view”: a diagram or checklist

What to do next

If you recognise your situation, start with an audit: in five business days we will show you what a bank, a partner and an AI model see about you.

24/7 mention monitoringHear about a new mention before a bank or a journalist does

How we can help

If this article describes your situation, this is where clients usually start.

24/7 mention monitoring

Hear about a new mention before a bank or a journalist does

Removal and suppression of negative content

When monitoring finds negative content, we move straight to removal.

Reputation in AI answers

AI answers about you are monitored too.

Read next

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What a bank sees before it opens your account: your digital profile through a compliance lens

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14 October 2026 · 8 min readRead the article →

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Removal & suppression

Why an article can’t be removed “without a trace”, and what actually works

Copies, web archives, retellings and the Streisand effect. We look at the removal mechanisms that exist and why they are almost always combined with suppression.

2 October 2026 · 7 min readRead the article →

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How AI models build an answer about a person, and why they get it wrong

ChatGPT, Alice (Yandex) and Perplexity don’t know you personally. They assemble an answer from whatever sources are available. Here is where the errors come from and what to do about them.

25 September 2026 · 6 min readRead the article →

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