Мы получили лицензию на образовательную деятельность Теперь наш центр практического обучения команд Positive Education сможет работать с еще большим числом компаний и госучреждений. А сама лицензия подтверждает, что наши образовательные программы соответствуют всем строгим требованиям. Что это меняет 1️⃣ Для многих крупных компаний и госучреждений наличие лицензии — обязательное условие при выборе образовательных …

Channel
Кибербез образование | cybersecurity-roadmap.ru
@cyber_edu
On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Telegram's recommendations · Cite this entry
6,012subscribers
+19 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001978927018 |
|---|---|
| Type | Channel |
| Username | @cyber_edu |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 6 November 2026 |
| Measurements held | 22 |
| Confirmed unchanged | 1 time, most recently 6 November 2026 |
| On Telegram | t.me/cyber_edu |
Topic
Education — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 6 Nov 2026, 09:36 | 6,012 | +4 |
| 3 Nov 2026, 00:29 | 6,008 | -5 |
| 30 Oct 2026, 16:29 | 6,013 | +5 |
| 24 Oct 2026, 08:54 | 6,008 | +1 |
| 15 Oct 2026, 04:28 | 6,007 | +5 |
| 11 Oct 2026, 22:37 | 6,002 | +1 |
| 5 Oct 2026, 13:17 | 6,001 | -12 |
| 27 Sept 2026, 10:20 | 6,013 | -10 |
| 18 Sept 2026, 13:36 | 6,023 | +5 |
| 14 Sept 2026, 03:21 | 6,018 | -5 |
| 10 Sept 2026, 12:16 | 6,023 | -2 |
| 5 Sept 2026, 16:21 | 6,025 | +18 |
| 1 Sept 2026, 08:36 | 6,007 | +5 |
| 29 Aug 2026, 11:06 | 6,002 | -6 |
| 26 Aug 2026, 09:58 | 6,008 | -1 |
| 23 Aug 2026, 03:11 | 6,009 | +4 |
| 19 Aug 2026, 13:43 | 6,005 | +10 |
| 16 Aug 2026, 21:56 | 5,995 | +3 |
| 13 Aug 2026, 04:26 | 5,992 | +1 |
| 10 Aug 2026, 09:14 | 5,991 | first reading |
Engagement
38 posts held, back to 4 June 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 12 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 21.6%
- avg views ÷ 6,012 subscribers
- Avg views / post
- 1,300
- 12 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 12
- of 38 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.
| Window | Rolling 30 days · latest post in window 30 October 2026 |
|---|---|
| Posts held | 38 (4 June 2026 – 30 October 2026) |
| Views total | 15,614 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 5 Nov 2026, 02:02 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
- Video runtime
- 14m 08s
- Average length
- 7m 04s
Measured directly from 2 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.
Recent posts
Telegram’s own ‘edited’ marker: 2 of 12 posts held from the last 30 days (16.7%) 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).
Мы получили лицензию на образовательную деятельность 🎉🎉🎉
Posted without readable text
Про ИБ-колледжи В последние несколько лет наблюдается перекос в сторону СПО. Всё больше выпускников школ выбирают колледжи для получения востребованной профессии. Например, прекрасная востребованная специальность «Монтаж и эксплуатация внутренних сантехнических устройств, кондиционирования воздуха и вентиляции». Особенно актуально для южных регионов нашей страны. Получать высшее образование для этого совсем не треб…
Posted without readable text
В рамках форума GIS DAYS РБК Петербург организовали дискуссию про кадры в ИБ. Уважаемые эксперты из вузов и компаний поговорили, как обычно, обо всём и ни о чём 🤷 Но меня зацепили слова Дмитрия Служеникина, руководителя Межвузовского центра безопасности при МГТУ им. Н.Э. Баумана: «Компании и госорганизации редко формулируют образ специалиста, который им потребуется через пять лет, но приходят на третьем-пятом курс…
Предыдущий пост вызвал множество комментариев, по порядку разберем некоторые ключевые тезисы из них 🤓 Соглашусь, что есть нехватка именно квалифицированных преподавателей, дающих современные знания, готовых менять собственные курсы и адаптироваться к запросу ИБ/КБ индустрии. Действительно, роль преподавателя меняется, но не отменяется. Преподаватель — это не только транслятор готовых знаний. У него есть и другие фу…
Куда движется высшее образование? Что я об этом думаю 🤓 Массовое обучение студентов по причине нехватки преподавателей перейдет к ИИ-ассистентам, согласен с Салманом Ханом (см. его книгу «Новые миры образования»). Сначала трансформируется школьное образование при Германе Оскаровиче, потом дело дойдет до высшего. Как произойдет переход? ИИ-ассистенты уже помогают студентам выполнять ДЗ и объясняют сложные темы. Пре…
Цифровые решения: сессия «Профессия специалиста по информационной безопасности: содержание, навыки и карьерные перспективы до 2030 года» Алексей Усанов, руководитель R&D Центра Positive Labs, отметил, что отрасль кибербезопасности меняется настолько быстро, что долгосрочные прогнозы делать сложно. Уже сейчас технологии искусственного интеллекта могут кардинально изменить ландшафт угроз и требования к специалистам. …
Алексей Усанов, руководитель Positive Labs, затронул существующие проблемы в подготовке ИБ-кадров и рассказал про отличительные особенности ТОП ИТ ПРО программы в МФТИ 🤓
С приходом ИИ обновляется природа безопасности: появляется гарантия верности машины поручению и замыслу человека, который, в свою очередь, принимает ответственность за результат ее деятельности.
Юрий Максимов, сооснователь Positive Technologies и фонда "Сайберус", про роль и ответственность человека в мире, где информационные продукты создает ИИ 🤔
Showing the 12 most recent of 38 posts we hold for @cyber_edu. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
@hsse_mipt · 1,4382 postsЦифровая экономика
@DataEconomyRU · 7,4491 postPT EdTechLab
@PT_EdTechLab · 4821 postPositive Technologies
@Positive_Technologies · 29,4231 postFalse Positive
@falseposi · 1,2351 postВысшая школа экономики
@hse_official · 30,0421 postMiminet 🛜 | Компьютерные сети
@miminet_tcpip · 1,1161 postМТУСИ
@mtuci_official · 7,7941 post
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 2 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.
Named by
Channels on the register whose posts name this channel's handle.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@LenCyber78 · 147,229
Telegram ranks this channel #8 of 54 here — alongside 53 others — read 18 August 2026
@deedcoin_club · 22,979
Telegram ranks this channel #16 of 84 here — alongside 83 others — read 25 September 2026
@Positive_Technologies · 29,423
Telegram ranks this channel #22 of 87 here — alongside 86 others — read 9 September 2026
@positivehackmedia · 30,114
Telegram ranks this channel #23 of 88 here — alongside 87 others — read 6 September 2026
@bureaucraticsecurity · 19,140
Telegram ranks this channel #24 of 98 here — alongside 97 others — read 4 October 2026
@alukatsky · 38,417
Telegram ranks this channel #30 of 89 here — alongside 88 others — read 31 August 2026
@kasperskylab_ru · 28,901
Telegram ranks this channel #38 of 96 here — alongside 95 others — read 9 September 2026
@tg_infosec · 26,860
Telegram ranks this channel #47 of 74 here — alongside 73 others — read 11 September 2026
@package_security · 33,730
Telegram ranks this channel #55 of 82 here — alongside 81 others — read 4 September 2026
@f6_cybersecurity · 22,367
Telegram ranks this channel #72 of 85 here — alongside 84 others — read 21 September 2026
@SecLabNews · 86,494
Telegram ranks this channel #85 of 90 here — alongside 89 others — read 18 August 2026
This channel appears in 11 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 6 November 2026 — this entry's latest reading, not the date you are reading this.
“Кибербез образование | cybersecurity-roadmap.ru” (@cyber_edu), 6,012 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/cyber_edu.
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.