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Channel

Топ кибербезопасности Батранкова

@safebdv

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Posts recorded as deleted · Polls · Citations · Telegram's recommendations · Cite this entry

9,995subscribers

-45 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001452091206
TypeChannel
Username@safebdv
DescriptionКанал Дениса Батранкова: Информационная безопасность, NGFW, AI Security и технические продажи. Консалтинг, обучение и работа с компаниями: https://t.me/safebdv/2214 ✉️ Реклама: @ngksiva https://gosuslugi.ru/snet/69ef16891c348d88edebe5b9
CreatedBetween 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held45
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/safebdv

Topic

Hacking & security — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 11 September 2026 and assigned it the closest of 31 fixed categories, at 96% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

9,86410,19710,030.56 August 2026 — 10,040 subscribers7 August 2026 — 10,035 subscribers8 August 2026 — 10,036 subscribers10 August 2026 — 10,026 subscribers10 August 2026 — 10,023 subscribers11 August 2026 — 10,012 subscribers12 August 2026 — 10,053 subscribers15 August 2026 — 10,046 subscribers16 August 2026 — 10,045 subscribers17 August 2026 — 10,042 subscribers18 August 2026 — 10,053 subscribers19 August 2026 — 10,028 subscribers20 August 2026 — 10,010 subscribers22 August 2026 — 10,045 subscribers23 August 2026 — 10,031 subscribers25 August 2026 — 10,115 subscribers26 August 2026 — 10,192 subscribers27 August 2026 — 10,197 subscribers28 August 2026 — 10,148 subscribers29 August 2026 — 10,160 subscribers30 August 2026 — 10,143 subscribers31 August 2026 — 10,089 subscribers1 September 2026 — 10,054 subscribers2 September 2026 — 10,037 subscribers3 September 2026 — 10,027 subscribers5 September 2026 — 10,055 subscribers8 September 2026 — 10,021 subscribers11 September 2026 — 10,041 subscribers13 September 2026 — 10,067 subscribers15 September 2026 — 10,054 subscribers16 September 2026 — 10,067 subscribers19 September 2026 — 10,041 subscribers26 September 2026 — 10,019 subscribers4 October 2026 — 9,974 subscribers10 October 2026 — 9,933 subscribers14 October 2026 — 9,929 subscribers17 October 2026 — 9,934 subscribers20 October 2026 — 9,920 subscribers24 October 2026 — 9,902 subscribers26 October 2026 — 9,880 subscribers29 October 2026 — 9,870 subscribers1 November 2026 — 9,864 subscribers4 November 2026 — 9,938 subscribers7 November 2026 — 9,939 subscribers10 November 2026 — 9,995 subscribers9,9956 August 202610 November 2026
45 measurements spanning 96 days, net -45. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 9,814–10,247 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 45
Measured (UTC)SubscribersChange
10 Nov 2026, 15:499,995+56
7 Nov 2026, 11:479,939+1
4 Nov 2026, 08:509,938+74
1 Nov 2026, 16:179,864-6
29 Oct 2026, 20:199,870-10
26 Oct 2026, 23:089,880-22
24 Oct 2026, 00:069,902-18
20 Oct 2026, 14:049,920-14
17 Oct 2026, 17:059,934+5
14 Oct 2026, 07:449,929-4
10 Oct 2026, 22:219,933-41
4 Oct 2026, 13:169,974-45
26 Sept 2026, 07:1610,019-22
19 Sept 2026, 10:1610,041-26
16 Sept 2026, 23:3910,067+13
15 Sept 2026, 01:4010,054-13
13 Sept 2026, 07:5810,067+26
11 Sept 2026, 08:5610,041+20
8 Sept 2026, 13:3710,021-34
5 Sept 2026, 09:4210,055first reading

Engagement

93 posts held, back to 27 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 65 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.6%
avg views ÷ 9,995 subscribers
Avg views / post
1,360
38 posts measured
Reaction rate
0.544%
reactions ÷ views · ER floor
Posts in window
38
of 93 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 33 of 38 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 13 November 2026
Posts held93 (27 July 2026 – 13 November 2026)
Views total51,741
Reactions total245
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 00:13 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈1,020
Videos
≈100
Links
≈1,120

Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
8m 44s
Average length
1m 06s

Measured directly from 8 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

752 reactions across 86 posts, in 30 distinct kinds. The most used accounts for 22.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥16622.1%
👍15720.9%
❤12016.0%
🤣9412.5%
😢354.65%
🤔283.72%
🎉243.19%
💯131.73%
🕊131.73%
🥴121.60%
👏111.46%
👀91.20%
😱81.06%
🙏81.06%
🤯70.931%
🤷‍♂60.798%
🥰60.798%
✍50.665%
🍾50.665%
🤝50.665%
10 further kinds202.66%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 86 of the 93 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 752 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 93 most recent posts we hold, published 27 July 2026 to 13 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
3
of 91 we hold a reading for · 3%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @safebdv. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 93 most recent posts we hold for this entry, published 27 July 2026 to 13 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 23 of 38 posts held from the last 30 days (60.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

13 Nov 2026, 13:11 UTC436 views3 reactionsread 14 November 2026
Video

Поделился своим мнением по ситуации на рынке NGFW и ответил на другие вопросы Саши Антипова, главного редактора SecurityLab.ru https://youtu.be/eT-FCxej7Fg Продолжение будет на конференции по сетевой безопасности 24 ноября: https://netsec.ib-bank.ru/ #NGFW

❤3

13 Nov 2026, 08:03 UTC574 viewsread 14 November 2026
Photo

Что внутри нового сборника каналов: ▪️ ИИ в проде — как нейросети меняют бизнес и деньги на практике: без хайпа, с разборами реальных кейсов и чек-листами от предпринимателя, который внедряет это каждый день. ▪️ IT-новости и главные события технологического мира ▪️ Полезные сервисы и инструменты для работы ▪️ Полезные материалы, которые можно сразу применять в работе А также в папке есть Чат-нетворкинг: "ЗАЯВИ О…

13 Nov 2026, 05:30 UTC673 views14 reactionsread 14 November 2026
Video

C ИИ веселей начинать пятницу )

🤣7🔥6🎉1

12 Nov 2026, 13:00 UTC775 views4 reactionsread 14 November 2026
Photo

А реально-то защита работает? Прочитал статью Константина Чмиля о проблеме формального подхода к ИБ. Очень рекомендую. 🔹Пользователя отключили в Active Directory, а доступ в облачный сервис остался. 🔹События собрали в SIEM, а сопоставить последовательность действий человека по ним трудно. 🔹Резервные копии делают каждый день, но восстановить сервис в нужный срок не получается. Мне особенно близок предложенный подхо…

❤4

11 Nov 2026, 20:34 UTC≈1,070 views2 reactionsread 14 November 2026
Video

🚩 У всего мира новая проблема. Основная мировая операционная система продырявлена 948 раз. ИИ-агенты нашли 948 уязвимостей ядра Linux и сделали к ним рабочие эксплойты — такой результат опубликовала OpenAI: Имея обычную учётную запись на тестовой машине, агенты получали root, обходя включённю штатную защиту ядра. Агенты сами читали код (спасибо open source), находили ошибки, писали эксплойты и предлагали исправления.…

❤1🔥1

10 Nov 2026, 15:28 UTC≈1,010 views3 reactionsread 14 November 2026

Есть идея собраться коллективом руководителей продуктов/менеджеров/owners или CPO и поговорить на круглом столе о том как мы делаем продукты: как выбираем что делать в продуктах, и вообще чтобы люди понимали как идет процесс разработки. В принципе мне для этого нужны люди которые понимают в Product Market Fit, CJM, JTBD и прочих умных словах типа WSJF, RICE и др. Кому интересно? Напишите в личку пожалуйста кому есть …

🔥3

9 Nov 2026, 13:45 UTC≈1,010 views3 reactionsread 14 November 2026
Photo

ПСЕВДОПРОДУКТИВНОСТЬ Пару лет назад соцсети разрывал тренд на саморазвитие: подъем в пять утра, холодный душ и списки задач. Все сохраняли эти ролики с приятным ощущением, что меняют жизнь, хотя по факту просто залипали в чужой контент. С технологиями сейчас ровно та же история. Можно годами листать анонсы, смотреть обзоры апдейтов и перекидывать друг другу новости, считая, что развиваешься. Но если честно — дальше…

❤1💯1😇1

9 Nov 2026, 10:46 UTC889 views3 reactionsread 14 November 2026
Forwarded from @secwebinarsPhoto

Как вы контролируете ИИ, которому дали доступ к корпоративным данным и рабочим системам? Когда ИИ-агент получает возможность читать документы, вызывать инструменты и выполнять действия, желательно разбираться ещё и с его полномочиями: к чему он имеет доступ, что может сделать и как мы это контролируем. А что если потом будет поздно, когда он ВСЁ сделает за вас? Накосячит он, а отвечать вам. Вы уверены что хотите это…

👍3

9 Nov 2026, 07:11 UTC884 views7 reactionsread 14 November 2026
Forwarded from @secwebinarsPhoto

Как объяснять ИБ-решения заказчикам и руководству — очный тренинг 12 ноября Показать возможности продукта, обосновать ИБ-бюджет, защитить проект перед руководством — в каждой из этих ситуаций технических знаний недостаточно. Нужно связать устройство решения с задачей слушателя и ответить на его вопросы. 12 ноября в Москве Денис Батранков проведёт практический тренинг «Говорите так, чтобы покупали» — для инженеров, …

❤4🥴3

8 Nov 2026, 19:52 UTC≈1,120 views10 reactionsread 14 November 2026

Сканеры вроде Nessus или Qualys стали работать как генераторы чувства вины. Исправить все те тысячи уязвимостей, которые они на нас вываливают нереально

😢5🤣3💯1🔥1

8 Nov 2026, 09:44 UTC≈1,230 views8 reactionsread 14 November 2026
Photo

Удалить мусорные рекламные приложения в телевизоре помогает теперь ИИ. У разработчика телевизор Xiaomi показывал рекламу раньше, чем он успевал открыть Netflix. И тогда он дал Claude Code изучить эту модель телевизора — агент подключился по Wi-Fi, отключил 25 пакетов которые поставил ему Xiaomi и сделал домашний экран в стиле Apple TV. Из этой истории вырос публичный проект CleanYourTV (уже больше 54 тысяч звёзд на …

🔥8

7 Nov 2026, 11:15 UTC≈1,150 views6 reactionsread 14 November 2026
Photo

Покупать ли себе отдельный суперкомпьютер для ИИ или пользоваться облачными передовыми моделями? 🟢 Для одного человека (чат, почта, периодические задачи): аренда API (DeepSeek, Qwen) в 5–9 раз дешевле покупки топового локального компьютера, и через API доступна полная модель в исходном качестве (FP16), а не пожатая квантованием. ✔️ Покупка своего мощного железа оправдана строго в двух случаях: 🔹 Юридический вопрос…

❤6

Showing the 12 most recent of 93 posts we hold for @safebdv. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts edited after publishing

@safebdv edited 18 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
8 August 2026
Most recent edit
12 November 2026

Posts recorded as deleted after publishing

We recorded 9 posts on @safebdv as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
8 August 2026
Most recent seen missing
12 November 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
4

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

27 Oct 2026, 09:18 UTCAnonymous Poll157 voters

Хотите ли вы посмотреть фильм в котором все актеры - ИИ

  1. Да, если интересно32%
  2. Нет, зачем54%
  3. Не знаю8%
  4. Мой ответ. Напишу коммент.1%
  5. Посмотреть ответы11%

The shares total 106%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 93 most recent posts we hold, published 27 July 2026 to 13 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

Пост Лукацкого
@alukatsky · 38,465
Telegram ranks this channel #16 of 89 here — alongside 88 others — read 31 August 2026
Листок бюрократической защиты информации
@bureaucraticsecurity · 19,140
Telegram ranks this channel #19 of 98 here — alongside 97 others — read 4 October 2026
КиберДед official
@deedcoin_club · 23,011
Telegram ranks this channel #19 of 84 here — alongside 83 others — read 25 September 2026
Kaspersky
@kasperskylab_ru · 28,871
Telegram ranks this channel #22 of 96 here — alongside 95 others — read 9 September 2026
Positive Technologies
@Positive_Technologies · 29,469
Telegram ranks this channel #23 of 87 here — alongside 86 others — read 9 September 2026
IT и безопасность
@tg_security · 26,805
Telegram ranks this channel #25 of 91 here — alongside 90 others — read 12 September 2026
Positive Hack Days Media
@positivehackmedia · 30,039
Telegram ranks this channel #27 of 88 here — alongside 87 others — read 6 September 2026
Вестник Киберполиции России
@cyberpolice_rus · 82,783
Telegram ranks this channel #38 of 92 here — alongside 91 others — read 18 August 2026
Борьба с киберпреступностью | F6
@f6_cybersecurity · 22,363
Telegram ranks this channel #40 of 85 here — alongside 84 others — read 21 September 2026
SecurityLab.ru
@SecLabNews · 86,538
Telegram ranks this channel #56 of 90 here — alongside 89 others — read 18 August 2026
Пакет Безопасности
@package_security · 33,848
Telegram ranks this channel #64 of 82 here — alongside 81 others — read 4 September 2026
Об ЭП и УЦ
@ep_uc · 21,396
Telegram ranks this channel #75 of 97 here — alongside 96 others — read 24 September 2026

This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Топ кибербезопасности Батранкова” (@safebdv), 9,995 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/safebdv.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.