Kaspersky engagement report
@kaspersky - 312K followers on X
Measured over 36 original posts from a 30-day window, last computed on September 4, 2026.
Engagement
A typical post picks up 5 interactions against 312K followers, an engagement rate of 0.002%. Measured over 36 original posts, its engagement rate beats 9% of 6,874 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.2K times each, and 0.225% of those impressions turn into an interaction. That is about 0.713% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 07:00 UTC, and Thursday is the busiest day of the week. Of the 36 posts sampled, 81% carry an image or video, 14% are part of a thread and 67% link out. The account's strongest tracked post pulled 21 interactions, about 4.2x its own typical post. Recurring topics include #cybersecurity, #ai, #ctf.
Measured over 36 original posts from a 30-day window, last computed on September 4, 2026. Recurring tags: #cybersecurity, #ai, #ctf.
Compared with accounts its own size
Kaspersky's engagement rate beats 9% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 7 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 15% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.002%, Kaspersky sits below the 10th percentile of the 66,128 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.002% |
| 25th percentile | 0.016% |
| 50th percentile | 0.1% |
| 75th percentile | 0.499% |
| 90th percentile | 2.09% |
| 99th percentile | 119.9% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 07:00 UTC, and Thursday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 81% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 67% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | +15% | +14% to +16% | 32K |
- 81% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 67% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
- Its average post runs 316 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Aug 10, 20264.2x their median
Not every AI agent is there to help you. 🤖 At #KasperskyCSW, Sergey Lozhkin explained how cybercriminals are increasingly disguising malware as trusted AI applications, turning the technologies people rely on into vehicles for attack. From fake #ChatGPT and #Claude apps to AI-powered infostealers, one thing is becoming clear: Attackers don't need to invent new tricks. They just need new disguises. As AI adoption accelerates, organizations need more than innovation; they need visibility into what every AI tool and agent is doing. #Kaspersky #Cybersecurity #AI #InfoSec
- Aug 26, 20263.6x their median
🚨 Last call! Kaspersky{CTF} webinar starts in just a few hours! Learn how CTFs work, get practical tips, and explore Web, Reverse & PWN challenges with our experts. 🕐 Today, 13:00 UTC 🌐 https://t.co/jT2CqBX2tg No registration needed! 🚩 #KasperskyCTF #CTF #Cybersecurity https://t.co/20NOF88bBb
- Aug 21, 20263.4x their median
🚗 Malware has found a new target: Android car head units. Kaspersky researchers uncovered the first documented malware campaign with an infection chain specifically tailored to these vehicle systems. Here’s how it works 🧵 https://t.co/pOwwx5mmCx
- Aug 18, 20263.0x their median
🚩 New to CTFs? Join the Kaspersky{CTF} webinar to learn how Capture the Flag competitions work and explore sample Web, Reverse & PWN challenges with our experts. 📅 Aug 26, 13:00 UTC 🎟 No registration required 🌐 https://t.co/30CD9MCMpK #KasperskyCTF #CTF #Cybersecurity https://t.co/D4jB9lm5wr
- Aug 19, 20262.4x their median
☁️ A trusted domain doesn’t always mean trusted content. Kaspersky researchers identified and neutralized 390000+ phishing pages hosted across legitimate cloud platforms and decentralized networks in 12 months. Some attacks went even further, using AitM techniques to intercept credentials, MFA codes and session tokens. See how phishers are abusing trusted infrastructure 👇 🔗 https://t.co/0x9wjy6WZa
- Aug 19, 20262.0x their median
🎤 What does real-world incident response look like when you take it to @defcon? At DEFCON, Kaspersky Global Emergency Response Team experts @EChavarro and Ashley Hiram Muñoz shared insights and techniques drawn from the world of ransomware and digital forensics. 🔎 Eduardo presented the investigation into XEntry Team, a previously unknown threat actor observed abusing BitLocker for ransomware following a two-month intrusion into a victim’s infrastructure. 🔬 Ashley took attendees inside the mechanics of ransomware, exploring how analysts identify encryption algorithms through reverse engineering and debugging. He also led a hands-on workshop on modern DFIR techniques for acquiring, processing and analyzing digital evidence during cyberattacks. A few moments from Las Vegas, where real-world incident response experience met the security community. 👇
- Aug 8, 20262.0x their median
Most people now carry seven different types of personal information on one phone. 39% keep work email on a personal device. 17% can reach work systems from it. 1 in 10 keep confidential company files. The personal device is now a potential enterprise attack surface. → What's actually targeting mobile devices right now, and how to reduce the exposure: https://t.co/5JrjhHHLs5 [Kaspersky market research center, March 2026. 6,760 users, 18 countries.] #cybersecurity
- Aug 5, 20262.0x their median
Igor Kuznetsov joined Kaspersky in 2001 as an antivirus analyst. 20+ years later, he leads the Global Research and Analysis Team. We asked what most people get wrong about a career in threat research. His answer wasn't about technical depth. One of six cyber paths → https://t.co/ytDDYxkF4z #cybersecurity #threatresearch
- Aug 5, 20262.0x their median
1/3 The state of mobile threats, in one thread. 🧵
- Aug 12, 20261.8x their median
1/2 Your phone: banking, photos, passwords, conversations, wallets. Worth a few minutes of protection.
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
Buy or sell X accounts - escrow-protected
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Reading these numbers
A typical post picks up 5 interactions against 312K followers, an engagement rate of 0.002%. Measured over 36 original posts, its engagement rate beats 9% of 6,874 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.2K times each, and 0.225% of those impressions turn into an interaction. That is about 0.713% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 73% of days. Most posts go out around 07:00 UTC, and Thursday is the busiest day of the week. Of the 36 posts sampled, 81% carry an image or video, 14% are part of a thread and 67% link out. The account's strongest tracked post pulled 21 interactions, about 4.2x its own typical post. Recurring topics include #cybersecurity, #ai, #ctf.
- What is Kaspersky's engagement rate on X?
- Kaspersky (@kaspersky) has an engagement rate of 0.002%, based on the median interactions across 36 original posts from the last 30 days against 312,327 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.002%, Kaspersky sits below the 10th percentile of the 66,128 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @kaspersky have real engagement?
- Its engagement rate beats 9% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the bottom 10% for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @kaspersky post?
- Most posts go out around 07:00 UTC, and Thursday is its busiest day, at roughly 1.6 posts per day across the measured window.