Improving Cyber Awareness in Modern Organisations with LMS Courses


 When KnowBe4 tested 14.5 million employees across 62,400 organisations in 2025, one in three clicked on a simulated phishing email before receiving any training. That 33.1% baseline click rate is sobering on its own. Pair it with a UC San Diego Health study of 19,500 employees that found annual cybersecurity training had no significant effect on whether people fell for phishing, and the picture gets clearer: the old approach to security education is broken. 

It’s not that people don’t care. Most employees genuinely want to do the right thing. The problem is that organisations continue delivering training in formats that don’t stick, then act surprised when behaviour doesn’t change.

The good news is that many organisations already have the tools to fix this. Eighty-three percent of companies now use a learning management system, yet few deploy it for structured, ongoing cybersecurity education. That’s the gap LMS courses are built to close, replacing annual slide decks with continuous, measurable skill development courses that actually change how people respond to threats.

Why Annual Training Keeps Missing the Mark

The UC San Diego researchers ran 10 different phishing campaigns over eight months. Embedded training, the pop-up lesson employees receive after clicking a simulated phishing link, reduced click rates by just 2%. Meanwhile, the Verizon 2025 Data Breach Investigations Report confirmed that around 60% of breaches still involve a human element, with a small subset of 8% of employees driving 80% of incidents.

The issue is timing and format, not motivation. Annual or quarterly sessions ask people to remember everything from a single sitting and apply it months later. In practice, employees click malicious links within 21 seconds of opening a phishing email. A once-a-year course simply cannot compete with that reflex.

There’s also a cognitive problem at play. People learn best when information arrives close to the moment they’ll actually use it. A compliance session in January does very little to help someone recognise a well-crafted spear-phishing email in September.

What a Learning Management System Solves

Traditional training fails on three fronts: it happens too rarely, it treats every employee the same, and it offers no real way to measure behavioural change. A well-configured learning management system addresses all three.

Think of it as an always-on programme rather than a calendar event. The World Economic Forum’s Global Cybersecurity Outlook 2026 found that 45% of organisations rank the cybersecurity skills shortage as a top challenge to resilience. LMS training courses can chip away at that gap daily, delivering short modules that employees complete in minutes rather than hours.

The features that make this work are already standard in most modern platforms:

  • Microlearning modules (three to five minutes each) that boost engagement by 50% and long-term retention by 80%, according to research from Drake University.
  • Gamified progress tracking, where gamified eLearning achieves 90% completion rates compared to 25% for non-gamified content, per AmplifAI’s 2026 analysis.
  • Phishing simulations integrated directly into the LMS workflow.
  • SCORM-compliant content libraries for consistent delivery across departments and regions.
  • Personalised learning paths that tailor LMS online courses to individual roles and risk profiles.

Here is something worth remembering too: most organisations already own the tool. The gap is in using that system deliberately for cybersecurity skill development courses, rather than only for onboarding or compliance requirements. And because an LMS tracks completion and performance data automatically, security teams can identify exactly who needs additional support without relying on guesswork or spreadsheets.

 

Measuring What Matters and Proving It to the Board

The strongest argument for LMS-delivered cybersecurity education is that every improvement is measurable. KnowBe4’s data shows organisations running continuous training through their platform reduced phishing susceptibility by 86% over 12 months, bringing click rates from 33.1% down to 4.1%. Separately, companies using adaptive training models saw phishing reporting rates climb from 7% to 60% within a year, according to Brightside AI’s 2025 analysis.

Those numbers translate directly into financial language the board understands. With the average global data breach costing $4.44 million, according to the 2025 IBM/Ponemon study, and well-designed training programmes returning three to seven times their investment, the business case becomes clear.

It’s also worth considering the reputational cost, which rarely shows up in a spreadsheet but can linger for years. Customers and partners pay attention to how an organisation handles a breach, and whether it had reasonable defences in place matters during that scrutiny.

That raises an important question for leadership teams: can you justify not measuring whether your training actually works, when the cost of a single breach runs into the millions?

The organisations seeing the best outcomes are the ones treating cybersecurity education as a continuous skill, not an annual event. LMS courses give them the mechanism to do this at scale, with built-in measurement that proves what is working and flags what is not.

As AI-generated phishing, deepfakes and vishing become more convincing, with 77% of organisations reporting increased cyber-enabled fraud in 2025 according to the World Economic Forum, the frequency and adaptability of training will matter more with every passing quarter. Organisations that build genuine cybersecurity competency through structured, ongoing LMS training courses are the ones their people will be better equipped to protect. For a broader look at the foundational practices that support this kind of security culture, cybersecurity best practices every business should follow is a practical starting point.

The real question is whether your organisation will be one of them.





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Recent Reviews


Spotify aims to provide a consistent listening experience that uses minimal data. As a result, your audio quality might be less than ideal, especially if you’re using a pair of high-fidelity headphones or high-end speakers. Here’s how to fix that.

Switch audio streaming quality to Very High or Lossless

The default audio streaming quality in both the mobile and desktop Spotify apps is set to Automatic, which usually keeps the audio quality at Normal, which is only 96 Kbps. Even though Spotify uses the Ogg Vorbis codec, which is superior to MP3, OGG files exhibit slight (but noticeable) digital noise, poor bass detail, dull treble, and a narrow soundstage at 96 Kbps.

Even worse, Spotify is aggressive about adjusting the automatic bitrate. Even though 4G is more than fast enough to stream high-quality OGG files, even with a weak signal, Spotify may still drop the quality to Low, which has a bitrate of just 24 Kb/s. You will notice such a sharp drop in quality, even on a pair of bottom-of-the-barrel headphones.

To rectify this, open the Spotify app, tap your user image, open “Settings and privacy,” and tap the “Media Quality” menu. Once there, set Wi-Fi streaming quality and cellular streaming quality to “Very high” or “Lossless.”

I recommend setting cellular streaming quality to Very high and reserving Lossless for Wi-Fi, since lossless streaming is very data-intensive. One hour of streaming lossless files can take up to 1GB of data, as well as a good chunk of your phone’s storage, because Spotify caches files you’re frequently streaming. Besides, you’ll struggle to notice the difference unless you’re listening to music on a wired pair of high-end headphones or speakers; wireless connection just doesn’t have the bandwidth needed to convey the full fidelity of Spotify lossless audio.

You might opt for High quality if you have a capped data plan, but I recommend doing so only if you stream hours upon hours’ worth of music every single day over a cellular network. For instance, I burn through about 8 GB of data per month on average while streaming about two hours of very high-quality music over a cellular network each day.

Illustration of a headphone with various music icons around.


How Audio Compression Works and Why It Can Affect Your Music Quality

Feeling the squeeze when listening to your favorite song?

Set audio download quality to Very high or Lossless

If you tend to download songs and albums for offline listening, you should also set the audio download quality to “Very high” or “Lossless.” This setting is located just under the audio streaming quality section.

The audio download quality menu in Spotify's mobile app.

If you’ve got enough free storage on your phone, opt for the latter, but if you’d rather save storage space, set it to Very high. You’ll hardly hear the difference, but lossless files are about five times larger than the 320 Kb/s OGG files Spotify offers at its Very high quality setting, and they can quickly fill up your phone’s storage.

Adjust video streaming quality at your discretion

The last section of the Media quality menu is Video streaming quality. This sets the quality of video podcasts and music videos available for certain songs. Since I care about neither, I set it to “Very high” on Wi-Fi and “Normal” on cellular, but you should tweak the two options at your discretion because songs sound notably better at higher video streaming quality levels.

If you often watch videos over cellular and have unlimited data, feel free to toggle video quality to very high.

Make sure Data Saver mode is disabled

Even if your audio quality is set to Very high or Lossless, Spotify will switch to low-quality streaming if the app’s Data saver mode is enabled. This option is located in the Data saving and offline menu. Open the menu, then set it to “Always off,” or choose “Automatic” to have Spotify’s Data Saver mode kick in alongside your phone’s Data Saver mode.

You can also enable volume normalization and play around with the built-in equalizer

Spotify logo in the center of the screen with an equalizer in front. Credit: Lucas Gouveia / How-To Geek

Last but not least, there are two additional features you can play with to improve your listening experience. The first is volume normalization, which sets the same loudness for every track you’re listening to. This can be handy because different albums are mastered at different loudness levels, with newer music usually being louder.

Since I’m an album-oriented listener, I keep the option disabled. I can just play an album and set the audio volume accordingly, and I don’t really mind louder songs when listening to playlists, artists, or song radios.

But if you can’t stand one song being quiet and the next rattling the windows, visit the Playback menu, enable “Volume normalization,” and set it to “Quiet” or “Normal.” The “Loud” option can digitally compress files, and neither Spotify nor I recommend using it. This also happens with “Quiet” and “Normal,” since both adjust the decibel level of the master recording for each song, but the compression level is much lower and extremely hard to notice.

Before I end this, I should also mention that you can access the equalizer directly from the Spotify app, where you can fine-tune your music listening experience or pick one of the available equalizer presets. If your phone has a built-in equalizer, Spotify will open it; if it doesn’t, you can use Spotify’s. On my phone (a Samsung Galaxy S21 FE), I can only use One UI’s built-in equalizer.

To open the equalizer, open “Playback,” then hit the “Equalizer” button. Now you can equalize your audio to your heart’s content.


Adjusting just a few settings can have a drastic impact on your Spotify listening experience. If you aren’t satisfied with Spotify’s sound quality, make sure to adjust the audio before jumping ship. You should also check the sound quality settings from time to time, as Spotify can reset them during app updates.​​​​​​​

Three phones with a Spotify screen and the logo in the center.


These 8 Spotify Features Are My Favorite Hidden Gems

Look for these now.



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