As AI agents spread, 1Password’s new tool tackles a rising security threat


As AI agents spread, 1Password introduces unified credential security platform

David Gewirtz / Elyse Betters Picaro / ZDNET

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ZDNET’s key takeaways

  • AI agents need credentials, creating a growing enterprise risk.
  • 1Password launches Unified Access to manage human and AI secrets.
  • Platform discovers, secures, and audits credentials across environments.

Let’s talk for a minute about AI agents. You can think of them as digital virtual employees who are tasked with performing certain jobs. In fact, you can make a fairly good analogy between AI agents running around your network and human workers.

Back in the days before Zoom, I used to do a lot of business traveling. At the time, I had a cat named Sammy. I had to leave her home whenever I went on one of these trips. After her first experience in a kennel (which did not go well), I vowed to never kennel her for a trip ever again.

Also: Is your AI agent a security risk? NanoClaw wants to put it in a virtual cage

Instead, I hired a friend of a friend to come into my apartment a few times a day to feed her, play with her, and keep her company. Even though this practice was necessary, I always had some big worries. First, Sammy was not an outside cat. What if the cat caregiver let her out? What if the cat caregiver decided to muck around with my stuff?

I always got the key back from the cat watcher once I got home, but did they make a copy? Should I change the lock after the trip? For a while, I flew monthly. Would I need to change the lock every month? Fortunately, nothing went wrong. But the worry was there.

These are the types of problems we’re starting to face with AI agents (except much worse). For agents to do their jobs, they need to have access to many key systems and data sets. They need to be able to log in. They need access keys, passwords, API keys, and credentials of all sorts.

The big hairball of a problem is that there haven’t been unified systems for managing agent access. Instead, developers have been pasting API keys right into their code, putting passwords into text files, and even sometimes pasting entire credential sequences into AI prompts.

1Password, many agents

I’m not the only person waking up in the middle of the night in a cold sweat worrying about the implications of this.

The folks at 1Password have been noodling on this problem for quite some time. Today, it is announcing Unified Access, an AI agent credential management tool that is designed to help organizations securely manage the access control challenges that armies of AI agents introduce.

Also: AI agents are fast, loose, and out of control, MIT study finds

The Unified Access offering is available now (with the exception of an audit capability, which is coming soon). It provides tools to discover, secure, and eventually audit network access across both human and AI identities.

If you think this is similar to Microsoft’s Agent 365 identity management product announced last week, you aren’t wrong. I predict we’ll see more. Once companies started to widely deploy agents, the ID management challenge became fairly immediately apparent.

I’ve been noticing a trend recently. AI is moving so fast, and companies are engineering so quickly to accommodate and solve emerging problems, that we’re seeing regular cases of parallel evolution. As a new problem emerges because of a previous innovation, a bunch of companies simultaneously announce solutions designed to fix the emerging problem. That’s the case now with agentic credential management.

1Password’s approach is considerably less Microsoft-centric than Agent 365, but it also focuses on protecting credentials, secrets, and machine identities as AI systems begin performing actions across enterprise environments.

AI agents introduce new identity and credential risks

“AI adoption is reshaping our threat model,” said Heather Cannon, Director of Security at DigitalOcean. Think about those seven words. That’s a wow right there. David Faugno, CEO of 1Password, amplifies that thought, saying, “Agents are now operating inside real production environments.”

That’s the challenge. AI tools are rapidly moving from experimental curiosities to fully empowered virtual workers in production environments. They call APIs, execute workflows, and access infrastructure on behalf of users. These automated systems often rely on the same credentials developers use to access internal APIs, infrastructure, and enterprise data.

Also: OpenClaw is a security nightmare – 5 red flags you shouldn’t ignore (before it’s too late)

Cannon says, “For DigitalOcean, it’s no longer only about individuals mishandling credentials. We need clear visibility into which AI systems are operating across our environment.” She says that 1Password’s new solution can help it better understand and govern AI usage, with the goal of reducing so-called shadow AI risks, and scale AI adoption in a way that’s enterprise safe.

Discovering embedded risks enterprise-wide

Confusingly, 1Password calls its new offering a “platform model.” This is not an AI model, as in large language model. Instead, it is really a platform offering that uses a three-step paradigm: discover existing agents and credentials, secure them through a centralized vault infrastructure, and provide strong audit trails describing how access is used.

The discovery component is meant to discover existing flaws, places where keys and passwords are already deployed and need to have better management controls. The platform identifies AI tools and agent activity across endpoints, browsers, and local environments. Using the tools provided by 1Password, security teams can detect exposed credentials, including plaintext environment files and unencrypted SSH keys.

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

Of course, to carry out this discovery process enterprise-wide, you have to grant 1Password’s system some level of deep enterprise-wide access. That may be necessary if you want to rein in the AI access excesses of the past few years, but it is also a massive risk all on its own.

Centralized credential vault replaces embedded secrets

In an email Q&A, Nancy Wang, CTO of 1Password, told ZDNET, “Instead of storing credentials locally or embedding them in scripts, credentials can be securely retrieved from the vault and used only at the moment they are needed.”

The platform centralizes credentials inside a secure vault instead of embedding secrets directly in prompts, scripts, or configuration files.

Also: Nvidia bets on OpenClaw, but adds a security layer – how NemoClaw works

Wang says, “Developers reference secrets through 1Password rather than embedding them directly in code or environment variables. At runtime, 1Password resolves the reference, enforces policy, and delivers the credential only to the process that needs it, with every access event logged according to organizational policy.”

Security teams can see which credential was used, which system requested it, and the identity responsible for the action. The idea is to reduce reliance on API keys and secrets that remain valid indefinitely.

Integrations with AI developer and infrastructure platforms

Of course, gaining access to every tool a developer or enterprise might use is a big job. Many tools don’t work and play well with others. To counter this problem, 1Password is teaming up with many tool and enterprise vendors to embed support directly in their offerings.

Initial collaborations announced at launch include AI developer tools such as Cursor and GitHub, along with cloud and developer platforms, including Vercel.

“As agentic coding tools become part of how modern teams build and ship software, security needs to integrate directly into the developer workflow,” said Talha Tariq, CISO at Vercel. “Through our partnership with 1Password, we’re making it easier for developers to access credentials securely within the tools and environments they already use, so they can move quickly without compromising on sound security practices.”

Also: AI agents of chaos? Research shows how bots talking to bots can go sideways fast

Cursor and GitHub use the 1Password offering to secure developer workflows across IDEs, cloud sandboxes, and CI/CD pipelines. Extensions are now available for Cursor agents and GitHub Actions, with more expected.

1Password is also working with players who offer AI infrastructure, agent control planes, MCP gateways, and AI browsers, with implementations to be announced soon.

1Password’s CTO answers our questions

I asked 1Password a number of questions. CTO Wang was kind enough to answer them, apparently while she was on a plane. We definitely appreciate her going above and beyond, literally.

In response to a question about the 1Password user interface, she told me, “Yes, it’s the same interface that people know and love. Through Unified Access, we’re extending the interfaces people already use, like the 1Password extension, CLI, and APIs, into the environments where agents actually run.”

I tried to nail down the interaction experience. Where, exactly, are the credentials managed and how? She said, “The way agents interact with 1Password extends that familiar experience into the environments where agents operate. At a high level, we think of agents as a new class of identity that needs secure access to credentials in order to act on behalf of users or systems.”

Also: How I switched password managers without losing a single login

She said, “In this environment, 1Password serves as the trusted system of record for those credentials. Rather than embedding secrets directly in prompts, code, or agent memory, agents can retrieve credentials from the 1Password vault when they need them.”

In response to how this approach will be incorporated in code, I was told, “Developers reference secrets through 1Password rather than embedding them directly in code or environment variables. At runtime, 1Password resolves the reference, enforces policy, and delivers the credential only to the process that needs it, with every access event logged according to organizational policy.”

If you think back to the beginning of the article, and my concern about sharing keys with my cat’s pet sitter, recall that I obsessed over the question of whether I should change the lock after every trip.

In a virtual world, that becomes possible. Wang told me, “If a credential needs to be rotated, it can be done in the vault, and all agents with access to the vault will have access to the new credential, so it doesn’t need to be updated on an agent-by-agent basis.”

Fundamentally, 1Password is building a single source of truth for credentials in the agentic space. It’s complex as heck, but since we’re never going to be able to put the agentic genie back in its bottle, security tools like Unified Access and Agent 365 can’t come too soon.

What about you?

Are AI agents already running inside your organization’s workflows, or are you still experimenting with them? How are you managing the credentials and access those agents require? Do you think centralized vault approaches like 1Password’s Unified Access and Microsoft’s Agent 365 are heading in the right direction?

Also: 1Password hikes its prices: Here are your free or cheap alternatives

Are you concerned about agents using the same credentials as human developers, or do you see that as manageable with the right tooling? How much visibility do you think companies really have today into what their automated systems are doing? Let us know in the comments below.


You can follow my day-to-day project updates on social media. Be sure to subscribe to my weekly update newsletter, and follow me on Twitter/X at @DavidGewirtz, on Facebook at Facebook.com/DavidGewirtz, on Instagram at Instagram.com/DavidGewirtz, on Bluesky at @DavidGewirtz.com, and on YouTube at YouTube.com/DavidGewirtzTV.





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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.​​​​​​​

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


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