๐ต๏ธโโ๏ธ Amid AI-Driven Bug-Hunt Tsunami, NIST Looks to โฆ AI ๐ต๏ธโโ๏ธ Driven by AIaugmented research and scanning, vulnerability volumes continue to surge, driving the National Institute of Standards and Technology to ask whether AI could be the answer. ๐ Read more. ๐ Via "Dark Reading" ---------- ๐๏ธ Seen on @cibsecurity

Channel
๐ก Cybersecurity & Privacy ๐ก - News
@cibsecurity
On this record: Growth ยท Engagement ยท What this channel posts ยท Reactions ยท Posts ยท Citations ยท Telegram's recommendations ยท Cite this entry
27,570subscribers
+98 since we began measuring on 6 August 2026
Risers and fallers across the register ยท movement among entries of 10,000โ31,623.
Register entry
| Telegram ID | -1001262650373 |
|---|---|
| Type | Channel |
| Username | @cibsecurity |
| Description | ๐ The finest daily news on cybersecurity and privacy. ๐ Daily releases. ๐ป Is your online life secure? ๐ฉ [email protected] |
| Created | 4 September 2018 โ measured โ cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 14 August 2026 |
| Measurements held | 11 |
| Confirmed unchanged | 1 time, most recently 14 August 2026 |
| On Telegram | t.me/cibsecurity |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 14 Aug 2026, 17:55 | 27,570 | +28 |
| 13 Aug 2026, 08:18 | 27,542 | +20 |
| 12 Aug 2026, 09:23 | 27,522 | +11 |
| 11 Aug 2026, 11:25 | 27,511 | +11 |
| 10 Aug 2026, 08:20 | 27,500 | +5 |
| 9 Aug 2026, 11:33 | 27,495 | +1 |
| 8 Aug 2026, 13:42 | 27,494 | -5 |
| 7 Aug 2026, 15:16 | 27,499 | +8 |
| 6 Aug 2026, 16:20 | 27,491 | +19 |
| 6 Aug 2026, 02:01 | 27,472 | no change |
| 6 Aug 2026, 01:36 | 27,472 | first reading |
Engagement
142 posts held, back to 4 August 2026 โ the reader has not yet reached the start of this channelโs public history, so older posts may sit further back, unread. Read across 21 pagesof Telegramโs post history, 20 posts per page.
- ERR ยท 30 days
- 0.609%
- avg views รท 27,570 subscribers
- Avg views / post
- 168
- 142 posts measured
- Reaction rate
- 0.465%
- reactions รท views ยท ER floor
- Posts in window
- 142
- of 142 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) รท viewsโ note the denominator is views, not subscribers. Telegramโs 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 12 of 142 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days ยท latest post in window 14 August 2026 |
|---|---|
| Posts held | 142 (4 August 2026 โ 14 August 2026) |
| Views total | 23,853 |
| Reactions total | 14 |
| Forwards / comments | not exposed by the public surface โ not measured, not estimated |
| Readings taken | 15 Aug 2026, 03:19 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 โcorrectingโ the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form โ 8.12K, 3.7M โ 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 โ read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Links
- โ90,300
Lifetime counters from Telegramโs own channel header, read 15 August 2026 โ not the date at the top of this page, which is when the subscriber count was last read. A count marked โ was rounded by Telegram before we ever saw it โ t.me prints these counters in full below 1,000 and to three significant figures above, so โ142,000 means somewhere between 141,500 and 142,499.
Reaction mix
14 reactions across 12 posts, in 3 distinct kinds. The most used accounts for 71.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| โค | 10 | 71.4% | |
| ๐ | 3 | 21.4% | |
| ๐ฅ | 1 | 7.14% |
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 โ ๐ is thanks in one channel and mourning in another โ 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 โ 4.34K, 1.2M โ 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 12 of the 142 sampled posts in this sample. Summed by Telegramโs own count on each post โ not by adding up the per-emoji breakdown above โ those same posts carry 14reactions in total: the kind of figure the paragraph above means by โa reaction total printed elsewhere on the pageโ.
Measured over the 142 most recent posts we hold, published 4 August 2026 to 14 August 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.
Recent posts
๐ต๏ธโโ๏ธ Mission-Driven Security: Inside a Global Bank's Defense ๐ต๏ธโโ๏ธ In this video interview, Standard Chartered's group CISO shares insights on transitioning from technical roles to strategic leadership, the importance of businesssavvy security executives, and how AI is reshaping both defensive capabilities and adversarial tactics in banking. ๐ Read more. ๐ Via "Dark Reading" ---------- ๐๏ธ Seen on @cibsecurity
๐ต๏ธโโ๏ธ Scottish Govt Suffers Potentially Widening Data Breach at Prosecutor's Office ๐ต๏ธโโ๏ธ One Caledonian government agency reported a breach, thanks to a third party that may have serviced other agencies as well. ๐ Read more. ๐ Via "Dark Reading" ---------- ๐๏ธ Seen on @cibsecurity
๐ Researchers Confirm ExfilSquadโs Access to Sensitive Data Across 13 Organizations ๐ Researchers have verified that ExfilSquad possesses sensitive data stolen from at least 13 victims after the extortion group published leaked datasets via torrents. ๐ Read more. ๐ Via "Infosecurity Magazine" ---------- ๐๏ธ Seen on @cibsecurity
๐ฆ Ransomware Threats in the Americas H1 2026: Dissecting the Regional Attack Patterns and Dominant Actors ๐ฆ The Americas carried the heaviest ransomware burden of any region on the planet in the first half of 2026. According to Cyble Research and Intelligence Labs CRIL, North and South America combined experienced 2,188 documented ransomware attacks between January and June 2026. That single figure 2,188 attackโฆ
๐ต๏ธโโ๏ธ What Boards Need to Know About Tech Risk ๐ต๏ธโโ๏ธ Why do so many boards underestimate technology risk until it becomes a crisis?. ๐ Read more. ๐ Via "Dark Reading" ---------- ๐๏ธ Seen on @cibsecurity
๐ Novel macOS Infostealer AmnesiaStealer Spread via ClickFix ๐ AmnesiaStealer contains novel functions, including the attackers gaining remote control over the victims browser to steal cookie data. ๐ Read more. ๐ Via "Infosecurity Magazine" ---------- ๐๏ธ Seen on @cibsecurity
๐ New Mirai-Based Linux Botnet โEvooo1Botโ Turns Victims Into Proxies ๐ Evooo1Bot is a newly observed botnet based on the Mirai framework but equipped with advanced features, turning edge devices into persistent proxies. ๐ Read more. ๐ Via "Infosecurity Magazine" ---------- ๐๏ธ Seen on @cibsecurity
๐ Black Hat USA 2026: Will vulnerability discovery eventually decline in the AI era? ๐ And will todays surge in AIdriven vulnerability discovery eventually make tomorrows software safer?. ๐ Read more. ๐ Via "ESET - WeLiveSecurity" ---------- ๐๏ธ Seen on @cibsecurity
๐ฆฟ DentaQuest Breach Affects 15 Million in Largest US Health Data Breach Reported in 2026 ๐ฆฟ DentaQuest says a May 2026 network breach affected 15 million people, exposing Social Security numbers and dental or vision health information. The post DentaQuest Breach Affects 15 Million in Largest US Health Data Breach Reported in 2026 appeared first on TechRepublic. ๐ Read more. ๐ Via "Tech Republic" ---------- ๐๏ธ Seenโฆ
๐ต๏ธโโ๏ธ Cyera's Oasis Security Buy is All About AI Agent Control ๐ต๏ธโโ๏ธ The 1 billion deal aims to converge data security and identity into a single control plane for agents, with privileged access redefined around business context rather than static roles. ๐ Read more. ๐ Via "Dark Reading" ---------- ๐๏ธ Seen on @cibsecurity
๐ข Stopping supply chain attacks ๐ข Why cyber teams need to work together to improve everyone's security. ๐ Read more. ๐ Via "ITPro" ---------- ๐๏ธ Seen on @cibsecurity
Showing the 12 most recent of 142 posts we hold for @cibsecurity. 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 โ was rounded by Telegram before we ever saw it โ t.me prints views in full below 1,000 and to three significant figures above, so โ1,200,000 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.
Citation-graph rank
Citation-graph rank โ 1,000,567 of 1,478,351entries in the measured graph. A weighted position computed from the forward and mention edges below โ republished posts weigh more than named mentions โ and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channelโs name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page โ a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 3 registered channels โ 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 โ that handle may belong to someone else now, and crediting todayโs namer to yesterdayโs owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason โ 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 โ the โNamed by N registered channelsโ 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 Telegramโs 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 โ 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 elseโs query is independent of having been queried itself.
@thehackernews ยท 162,130
Telegram ranks this channel #5 of 58 here โ alongside 57 others โ read 13 August 2026
@Prelims_Upsc ยท 202,602
Telegram ranks this channel #54 of 58 here โ alongside 57 others โ read 11 August 2026
This channel appears in 2 seed channels' Telegram-generated recommendation lists in total. Each is Telegramโs list for THAT channel, not this one โ 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 14 August 2026 โ this entry's latest reading, not the date you are reading this.
โ๐ก Cybersecurity & Privacy ๐ก - Newsโ (@cibsecurity), 27,570 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/cibsecurity.
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 ยท 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.