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Microsoft Security engagement report

@msftsecurity - 344K followers on X

Measured over 11 original posts from a 30-day window, last computed on September 3, 2026.

Engagement

Middle of its size range
Per follower
0.014%
of 344K followers
Per impression
0.499%
9.6K views on a typical post
Reach
2.79%
of its followers see a post
Typical post
48
interactions (median)
Saved
0.167%
16 bookmarks on a typical post
Posting rate
0.4/day
active 30% of days
Peak time
16:00 UTC
Wednesday

A typical post picks up 48 interactions against 344K followers, an engagement rate of 0.014%. Measured over 11 original posts, its engagement rate beats 31% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 9.6K times each, and 0.499% of those impressions turn into an interaction. That is about 2.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 11 posts sampled, 64% carry an image or video, 9% are part of a thread and 91% link out. The account's strongest tracked post pulled 241 interactions, about 5.0x its own typical post.

Measured over 11 original posts from a 30-day window, last computed on September 3, 2026.

Compared with accounts its own size

Microsoft Security's engagement rate beats 31% of the tracked X accounts closest to it in follower count (6,874 accounts, accounts of similar size (decile 8 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 30% 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 0.014%, Microsoft Security sits above the 10th percentile of the 66,258 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.016%.

p100.002%
p250.016%
p50 (median)0.1%
p750.499%
p902.09%
p99119.6%
Engagement rate as a share of followers, across the 66,258 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,968 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.499%
90th percentile2.09%
99th percentile119.6%

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 16:00 UTC, and Wednesday 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.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
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 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

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.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video64% of posts+111%+108% to +115%34K
Outbound link91% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 64% 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.
  • 91% 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 268 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • May 13, 20265.0x their median

    Project MDASH reaching #1 on the CyberGym leaderboard points to a shift in AI-driven security. A multi-model system designed and built from the ground up. It’s a strong signal of where autonomous code security is headed. https://t.co/3dHhOGM1yt https://t.co/7M1PqXhELG

    197333822K viewsView on X
  • Sep 30, 20254.9x their median

    From graph-based context to build-your-own Microsoft Security Copilot agents, we're introducing a new AI-ready security platform and innovations to empower defenders in the era of agentic AI: https://t.co/4jLkI7SxI7 #MSSecure https://t.co/M4QwS93p93

    1424045686K viewsView on X
  • Jul 13, 20263.8x their median

    Passkeys are becoming the default authentication experience in Microsoft Entra ID, helping organizations move beyond phishing-prone methods like SMS and voice. Learn what’s changing, key dates, and how to prepare your users for a more secure sign-in experience: https://t.co/5MsozhVr4a

    143344218K viewsView on X
  • Aug 27, 20262.6x their median

    Microsoft Purview auto-labeling went from 100,000 files a day to 500,000. If your Copilot rollout was waiting on data protection to catch up, it caught up. That's one update. More here: https://t.co/7kVmRLiE6F https://t.co/lcguWG8hfx

    93236115K viewsView on X
  • Jun 2, 20262.5x their median

    Just announced at #MicrosoftBuild: NEW security capabilities that deliver real-time guidance, scale with complexity, and give teams full-lifecycle visibility. 🧵

    96147531K viewsView on X
  • Jul 27, 20262.3x their median

    Attackers stopped working alone. They coordinate now—through agents. So, we built Project Perception: our new agentic security system. The video explains it better than a caption can. https://t.co/MNcejtQIVe https://t.co/3saK8QtkjE

    81208312K viewsView on X
  • Jun 18, 20262.3x their median

    A few months ago, we introduced codename MDASH, our new multi-model agentic scanning system, now in expanded private preview. Built to discover, validate, and prove software vulnerabilities at AI speed, the system is helping us explore new benchmarks and insights as we apply it across some of our most complex environments. Read the latest updates: https://t.co/qbONMrZaRr

    7827229.7K viewsView on X
  • Aug 5, 20261.5x their median

    Microsoft has been named a Leader across four Leadership categories in KuppingerCole Analyst's Leadership Compass for CNAPP. AI has reshaped the attack surface. So we've been working to help customers gain the visibility, context, and prioritization they need to manage risk across cloud, data, identities, and AI. Learn more: https://t.co/35SUZZLq7Y

    57134011K viewsView on X
  • Aug 3, 2026

    You handle the decisions. Red, blue, and green team agents get to work. See our new agentic security system in action below, then learn more: https://t.co/oECjXBJhFR https://t.co/NaPDv7ZNqH

    5982211K viewsView on X
  • Jul 28, 2026

    📢 The Microsoft Defender Skilling Challenge is underway, and there's still plenty of time to jump in. Show off your expertise across Defender XDR, Defender for Cloud, and Microsoft Sentinel, then enter for a chance to win a voucher for 50% off the SC-200 or SC-500 exam. 📅 Entries close August 21. Skilling up and saving on certification? That's a win-win. Get started here: https://t.co/reeU1COubL

    4814518.4K viewsView on X

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.

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Reading these numbers

A typical post picks up 48 interactions against 344K followers, an engagement rate of 0.014%. Measured over 11 original posts, its engagement rate beats 31% of 6,874 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 9.6K times each, and 0.499% of those impressions turn into an interaction. That is about 2.79% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.4 posts a day over the last 30 days, though only 30% of days saw any activity at all. Most posts go out around 16:00 UTC, and Wednesday is the busiest day of the week. Of the 11 posts sampled, 64% carry an image or video, 9% are part of a thread and 91% link out. The account's strongest tracked post pulled 241 interactions, about 5.0x its own typical post.

What is Microsoft Security's engagement rate on X?
Microsoft Security (@msftsecurity) has an engagement rate of 0.014%, based on the median interactions across 11 original posts from the last 30 days against 344,034 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.014%, Microsoft Security sits above the 10th percentile of the 66,258 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 @msftsecurity have real engagement?
Its engagement rate beats 31% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the middle of its size range 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 @msftsecurity post?
Most posts go out around 16:00 UTC, and Wednesday is its busiest day, at roughly 0.4 posts per day across the measured window.

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