1 in 2 security leaders say they’re not ready for AI attacks – 4 actions to take now


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ZDNET’s key takeaways

  • AI-powered cybercrime poses a growing risk to businesses.
  • Most of these organizations feel unprotected against the threat.
  • EY highlights some key steps for building up cyber defenses.

AI-driven cyberattacks are almost universally considered a grave threat to businesses today. Yet for both financial and logistical reasons, most organizations feel inadequately protected and lack a clear roadmap to shore up their internal defenses.

That gap between awareness and readiness is the big takeaway from a report published Thursday by consulting firm EY. Based on a December survey of more than 500 senior cybersecurity officials across industries, the report found that 96% of respondents believe that “AI-enabled cybersecurity attacks are a significant threat to their organization,” while fewer than half that number (46%) say they feel “strongly confident” that their organizations have adequate cybersecurity mechanisms in place to keep the threat at bay.

Also: 5 security tactics your business can’t get wrong in the age of AI – and why they’re critical

The majority of respondents (67%), furthermore, said they’re still “in pilot mode” when it comes to ironing out their strategy for keeping their organizations protected from this new wave of cyberattacks.

But pilot mode isn’t enough in a world where AI is continually providing cybercriminals with new means of attack, according to Ganesh Devarajan, cyber risk lead at EY Americas. 

“We are navigating a unique landscape where AI is weaponizing the digital environment just as it fortifies our defenses,” he told ZDNET. “If I were sitting across from a [chief information security officer] today, my advice would be simple: the time for ‘wait and see’ is over. Protecting a business now means building a holistic strategy where AI and employees aren’t just working side-by-side, but are also amplifying each other’s strengths.”

Also: Will AI make cybersecurity obsolete or is Silicon Valley confabulating again?

A cross-industry plateau

Cybersecurity isn’t the only domain in which businesses experimenting with AI have been failing to launch in a robust, meaningful way. Despite a high degree of interest in using the technology internally, many businesses are struggling to do so in a way that generates real returns. Organizations are stuck on a kind of plateau as they try to turn internal AI initiatives into sustained growth; the willpower is there, but the way is often unclear.

An oft-cited MIT study published in August, for example, reported that 95% of enterprises’ internal AI initiatives had failed to deliver any substantial ROI. It was a wake-up call for AI developers and their business customers. In short, something about the current approach to deploying AI within organizations wasn’t working. 

Also: Why enterprise AI agents could become the ultimate insider threat

A couple of months later, a survey of thousands of business leaders across 21 countries found that the vast majority (87%) said that AI would “completely transform” how their organization gets work done over the next year, yet a paltry 29% said their teams had the skills and training in place to make that outcome happen.

Hurdles for cybersecurity

Both of those themes were echoed in EY’s new report.

Also: AI threats will get worse: 6 ways to match the tenacity of your digital adversaries

In broad strokes, the consulting firm found that while most high-level cybersecurity pros are all too aware of the fact that AI is rapidly equipping their adversaries with new and more sophisticated modes of attack (such as phishing and deepfake scams), they’re hindered by lack of a clear plan for building up their internal security.

Financial constraints were found to be one significant issue: 85% of the respondents to EY’s survey said their employer’s “current cybersecurity budget is insufficient to meet AI-enabled threats,” according to the report. On the upside, EY also found that the number of organizations committing at least 25% of their cybersecurity budget to building AI-powered solutions specifically is expected to grow from 9% today to 48% over the next two years. 

The consensus, in other words, seems to be that the best way to combat new AI-driven cyberthreats is with AI-driven defenses — a trend that’s already begun to play out in the financial sector.

Specifically, EY’s survey found that AI will be given more control in six key areas of cybersecurity: 

  • Advanced persistent threat detection
  • Real-time fraud detection
  • Identity and access management
  • Third-party risk management
  • Data privacy and compliance
  • Defense against deepfakes and other uses of AI to impersonate real people

Also: AI is making cybercriminal workflows more efficient too, OpenAI finds

Governance was also a major constraint: 97% of respondents said a robust security framework for internal AI use was “essential” to generating ROI, yet only 20% said they’d fully built out that framework.

Four tips

OK, but what can cybersecurity experts actually do right now to meet the new wave of AI-powered threats? EY highlighted four key areas they should focus on.

  1. Budgets must be reworked “to prioritize AI-driven cybersecurity.”
  2. Instead of trying to use a plethora of AI to automate specific tasks — which EY suggested is a key bottleneck keeping businesses locked in the pilot phase — organizations should switch to an “orchestrated, agent-driven” approach. In other words, implement a top-down control model for internal AI use so cybersecurity leaders can easily visualize AI agents’ actions and, if necessary, correct them.
  3. Teams need to “invest aggressively” in training their existing employees to safely and effectively collaborate with AI agents.
  4. Adopt an arms-race mentality to maintain internal guardrails, because as AI-assisted cyberdefenses improve, so too will the tactics deployed by AI-assisted cybercriminals. “Organizations that treat governance as a living system — continuously improving and integrating into culture and operations — are best positioned to build trust, manage emerging risks and translate AI innovation into durable competitive advantage.”





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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.​​​​​​​

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These 8 Spotify Features Are My Favorite Hidden Gems

Look for these now.



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