While many companies are intentionally rolling out AI to boost quality and efficiency, unsanctioned AI tools are cropping up in corporate environments even faster. Software vendors are baking AI right into products companies already use (think Microsoft Copilot and Google Gemini), while employees are taking matters into their own hands and installing tools on the sly. As a result, businesses are staring down a poorly managed data leak channel: staff paste information from corporate systems into AI chatbots, sending data not just to the SaaS vendor, but straight to the developers behind the underlying AI model. Both the risks and the mitigation strategies vary depending on the type of AI system in play. We break down this broad topic, focusing heavily on tools for spotting and blocking AI at two distinct levels.

Types of unwanted AI systems

Depending on the type of AI in question, managing and blocking its use requires a different playbook. It’s essential to break down AI into four distinct categories:

• Platform-native AI capabilities. Think Microsoft Copilot, Google Gemini, and Apple Intelligence, along with AI features baked right into browsers. The tricky thing about these is that they’re built into everyday essentials, are instantly available to every user (sometimes popping up aggressively), and most importantly, vendors try to turn them on by default.
• AI companions embedded in business apps. This bucket includes Slack AI, Zoom AI Companion, Notion AI, Jira’s Rovo assistant, and the like. These are tied to a single application and are completely inseparable from it.
• Standalone web and app-based chatbots. ChatGPT, Claude, Perplexity, Character AI, local setups like LM Studio, browser extensions, and agentic browsers like Comet. Apps and services in this category are usually adopted by employees on their own without permission: classic examples of shadow AI.

• Desktop-native multi-functional agents. This group features tools like OpenClaw, NanoClaw, NemoClaw, and others. They pose the biggest threat because they come with broad access rights by default and actively process untrusted data from the open web.

How to deal with unwanted AI

Every company, depending on its industry, appetite for innovation, and risk tolerance, needs to draw its own line in the sand between recommended, approved case-by-case, and completely banned use cases for specific AI products. Regulated sectors like healthcare play by one set of rules, while retail businesses operate under an entirely different playbook. Either way, after analyzing exactly which AI tools have already slipped into the organization, corporate policies need to be fine-tuned. That’s why the first order of business is employing existing infosec and logging tools to scan corporate infrastructure.

Depending on the chosen strategy, the uncovered AI systems can be:

• Disabled or restricted by using the built-in corporate policy settings within the tools themselves
• Hard-blocked at the endpoint or network level to create a safety net against policy workarounds or configuration errors
• Transitioned to managed access, where the tool isn’t completely blocked but instead routed through a dedicated corporate gateway that checks access permissions, and monitors usage patterns

Detecting AI systems

Spotting AI requires a multi-layered approach, as different detection methods complement each other and work best against specific types of AI.

 

Technology	What it can detect
DNS	Any AI tool with an identifiable domain
Web Gateway or NGFW	Any AI tool with a recognizable request-and-response fingerprint (API endpoint paths, domains, and other indicators). Web filters can inspect traffic content, and many gateways/NGFWs now feature a dedicated category for detecting and blocking generative AI
EPP/EDR	Locally deployed LLMs (running via Ollama, LM Studio, and similar shells), native desktop apps for ChatGPT or Claude, agentic browsers, and open-source AI agents. An indirect but strong red flag is the presence of Node.js, Python, Git, Docker, or other containerization tools on machines belonging to non-technical staff
Application control	Similar to EPP/EDR, this allows to immediately block unwanted applications right out of the gate
Browser control	AI-focused browser extensions and visits to AI-themed websites. This is a lifesaver if the corporate web gateway can’t inspect encrypted traffic
SaaS Security Posture Management (SSPM) / Identity Governance	OAuth permissions requested by AI apps and services, as well as any third-party integrations plugging into core productivity hubs (Microsoft 365, Google Workspace, and others)

 

Naturally, almost all of these tools allow to do more than just spot AI — they let to block it entirely, or at the very least, sound the alarm for the team in charge.

Keeping an eye on OAuth

Popular office AI solutions — especially meeting assistants, email and calendar automation agents, and the like — gain access to corporate data by requesting OAuth permissions directly from communication, document workflow, or video conferencing platforms. If a user has the green light to grant these permissions to third-party apps, the resulting data leaks completely bypass the organization’s perimeter. Tools like EDR and NGFW won’t see a thing when a tool like Read.ai grabs recordings of every single meeting in, say, Microsoft Teams.

The most drastic — and often best — move is to block standard users from granting OAuth consent in the first place. Here’s how to handle the technical heavy lifting (Global Administrator, Application Administrator, or equivalent rights are needed):

Microsoft 365 / Entra ID

In the Microsoft Entra admin center, head over to Identity > Applications > Enterprise apps > Consent and permissions > User consent settings. There User consent for applications can be disabled (check out Microsoft’s full guide).

Google Workspace

In the Google Admin console, navigate to Security > Access and data control > API controls. Under Manage App Access, the trust level for all apps can be set: Trusted, Limited, Specific Google data, or Blocked. However, the real kicker here is the Unconfigured app settings subsection, which dictates what happens when a user tries to connect an unknown app. To seal this loophole, select Don’t allow users to access any third-party apps.

A separate subsection, Manage Google Services, permits fine-tuning exactly how third-party apps interact with Google Workspace and Google Cloud services. This allows to cut off access for each individual Google product (see Google’s official guide).

Salesforce

In Setup, use the Quick Find box to search for connected apps, then select Manage Connected Apps from the results. While settings are configured for each external app individually, all users can approve access by default. There isn’t a blanket block switch here; instead, Salesforce allows to opt for Admin approved users are pre-authorized (see the full Salesforce guide on this).

Slack

From the Admin settings menu, head to Apps and workflows -> App Management Settings. Tweak the Require approved apps setting by selecting Only allow pre-approved apps. Once that’s locked in, double-check that no rogue AI tools have slipped onto the approved list.

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Epic Games brengt Fortnite weer wereldwijd uit via de Apple App Store. De twee bedrijven zijn al jaren verwikkeld in een juridische strijd over appwinkelcommissies. Apple gaat nog steeds in beroep tegen eerdere uitspraken van een Amerikaanse rechter over de te hoge commissie op in-appaankopen.

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Not by name, but Laurie Anderson quotes me in one of the tracks of her new album:

My favorite quote is from a cryptologist who said “If you think technology will solve your problems, you don’t understand technology and you don’t understand your problems.”

Also in interviews:

“Of course, it’s ridiculous, outrageous, blah, blah, blah,” Anderson says about the ad. ‘But, I mean, my favorite quote on this is from a cryptologist who said, ‘If you think technology will solve your problems, you don’t understand technology ­ and you don’t understand your problems.’ And I think I’m completely on board with that.”

People are telling me that she has been reciting this quote in performances for years. (I lost track of her since college and her 1981 hit “O Superman.”)

The origins of the quote is from Roger Needham:

If you think cryptography can solve your problem, you don’t understand your problem and you don’t understand cryptography.

I modified the quote in the preface to my 2000 book Secrets and Lies:

A few years ago I heard a quotation, and I am going to modify it here: If you think technology can solve your security problems, then you don’t understand the problems and you don’t understand the technology.

I can’t tell you why me in 2000 didn’t credit Needham by name. I should have.

I have used the quote pretty consistently since then. Somewhere along the line I dropped “security” from the phrase, and now say it more like Anderson quotes me:

If you think technology will solve your problem, you don’t understand your problem and you don’t understand technology.

I sometimes use singular and sometimes use plural. Sometimes I say “the problem” and “the technology.” But I think the quote flows better ending with just the word “technology.”

If you’re worried about deepfake likenesses of yourself showing up online, you’re not alone; YouTube is worried for you. It wants to protect you by having you upload a selfie video and government ID to its site.

The idea is that the video giant will use its own AI to patrol the service for fake videos using your likeness. In exchange, you get the chance to have them taken down.

This isn’t available for everyone, though. It’s for celebs, those in vulnerable jobs, and now, most YouTube creators.

YouTube has been working on this concept, which it calls its “likeness detection” system, since it first floated the idea publicly in September 2024. That December, it launched a partnership with the Creative Artists Agency that saw it using the technology with sporting and entertainment figures.

In October last year, it expanded likeness detection to cover more creators, and then in March it expanded it again to cover politicians and journalists. And last month, it widened the net again, offering the service to Hollywood celebs. They can use it regardless of whether they have a YouTube account, it added.

Now, in its latest move, anyone 18 or older with a selfie and ID can sign up. At least in theory, as it hasn’t rolled out to everyone yet. It’s also for faces only; AI-generated voice clones are another problem entirely.

The privacy risk

Privacy advocates warned that YouTube’s likeness detection system could normalize handing biometric data to large tech platforms, even if YouTube says the data is only used to improve likeness detection models with creator permission.

On the help page for the likeness detection service, YouTube says creators can separately choose whether their face and voice templates are used to improve its likeness detection models.

“When you sign up for Likeness detection, you also have the option to allow YouTube to use your face and voice templates to develop and improve likeness detection models. This helps us build better, more accurate likeness detection technologies.”

Adding:

“You can opt out of YouTube’s use of this data for development and improvement of likeness models at any time.”

YouTube supports legislation intended to tackle deepfakes, such as the NO FAKES and TAKE IT DOWN acts. These are designed to help stop the misappropriation of someone’s image online. TAKE IT DOWN, which became law a year ago, focuses purely on “nonconsensual intimate imagery.” But that doesn’t cover other kinds of deepfakes, such as fake politicians or celebrity endorsements. Those are becoming increasingly common. NO FAKES, which hasn’t yet become law, is far broader in scope, assigning people federal rights over their own image.

So is it worth the trade?

Deepfakes, intimate and otherwise, are definitely a threat, especially for YouTubers who become popular. And the barrier to entry is lowering all the time. Google’s own DeepMind researchers found most generative AI misuse isn’t sophisticated; it’s mundane likeness manipulation by anyone with a browser.

So do you hand over your face and government ID for your protection, to a company whose broader data collection practices have faced years of scrutiny, and hope its policies don’t change? Or do you skip it and hope that the deepfake merchants don’t decide to target you?

Creators commenting on YouTube’s video revealing the service six months ago were less than impressed. One commenter said:

“I was 100% on board, up until the ID upload. That makes me very uncomfortable.”

Echoing several others who complained that it’s difficult to get takedown requests actioned, another added:

“If YouTube actually acted upon these kinds of reports, then I’d be more in favour of this.”

Whether you decide to sign up for the service or not, just be sure to do it with your eyes open.

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If you’re worried about deepfake likenesses of yourself showing up online, you’re not alone; YouTube is worried for you. It wants to protect you by having you upload a selfie video and government ID to its site.

The idea is that the video giant will use its own AI to patrol the service for fake videos using your likeness. In exchange, you get the chance to have them taken down.

This isn’t available for everyone, though. It’s for celebs, those in vulnerable jobs, and now, most YouTube creators.

YouTube has been working on this concept, which it calls its “likeness detection” system, since it first floated the idea publicly in September 2024. That December, it launched a partnership with the Creative Artists Agency that saw it using the technology with sporting and entertainment figures.

In October last year, it expanded likeness detection to cover more creators, and then in March it expanded it again to cover politicians and journalists. And last month, it widened the net again, offering the service to Hollywood celebs. They can use it regardless of whether they have a YouTube account, it added.

Now, in its latest move, anyone 18 or older with a selfie and ID can sign up. At least in theory, as it hasn’t rolled out to everyone yet. It’s also for faces only; AI-generated voice clones are another problem entirely.

The privacy risk

Privacy advocates warned that YouTube’s likeness detection system could normalize handing biometric data to large tech platforms, even if YouTube says the data is only used to improve likeness detection models with creator permission.

On the help page for the likeness detection service, YouTube says creators can separately choose whether their face and voice templates are used to improve its likeness detection models.

“When you sign up for Likeness detection, you also have the option to allow YouTube to use your face and voice templates to develop and improve likeness detection models. This helps us build better, more accurate likeness detection technologies.”

Adding:

“You can opt out of YouTube’s use of this data for development and improvement of likeness models at any time.”

YouTube supports legislation intended to tackle deepfakes, such as the NO FAKES and TAKE IT DOWN acts. These are designed to help stop the misappropriation of someone’s image online. TAKE IT DOWN, which became law a year ago, focuses purely on “nonconsensual intimate imagery.” But that doesn’t cover other kinds of deepfakes, such as fake politicians or celebrity endorsements. Those are becoming increasingly common. NO FAKES, which hasn’t yet become law, is far broader in scope, assigning people federal rights over their own image.

So is it worth the trade?

Deepfakes, intimate and otherwise, are definitely a threat, especially for YouTubers who become popular. And the barrier to entry is lowering all the time. Google’s own DeepMind researchers found most generative AI misuse isn’t sophisticated; it’s mundane likeness manipulation by anyone with a browser.

So do you hand over your face and government ID for your protection, to a company whose broader data collection practices have faced years of scrutiny, and hope its policies don’t change? Or do you skip it and hope that the deepfake merchants don’t decide to target you?

Creators commenting on YouTube’s video revealing the service six months ago were less than impressed. One commenter said:

“I was 100% on board, up until the ID upload. That makes me very uncomfortable.”

Echoing several others who complained that it’s difficult to get takedown requests actioned, another added:

“If YouTube actually acted upon these kinds of reports, then I’d be more in favour of this.”

Whether you decide to sign up for the service or not, just be sure to do it with your eyes open.

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De Gates Foundation van Bill en Melinda Gates heeft haar laatste aandelen in Microsoft verkocht. Daarmee heeft de liefdadigheidsstichting van de Microsoft-medeoprichter geen belang meer in het miljardenbedrijf. Gates is zelf al lang niet meer betrokken bij Microsoft, al zou hij het bedrijf nog wel informeel adviseren.