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Shadow AI and the permissions problem: what to check before handing AI the keys


AI tools have moved from novelty to daily habit with remarkable speed, and for many people they are now as much a part of the working day as email. For Corey Nachreiner, CSO at WatchGuard Technologies, that makes a few simple questions more urgent than ever. “People are already using AI for everyday questions, work tasks, and highly personal conversations. Before you type, stop and ask: What am I sharing? Who might see it? What is this tool allowed to do for me? Those questions matter more as AI moves beyond chat and starts taking actions on our behalf.”

Jack Cherkas, Global Chief Information Security Officer at Syntax, believes this year’s campaign is well timed to prompt that reflection. “Cybersecurity Awareness Month is usually a reminder to get the fundamentals right and that is still absolutely critical,” he says. “This year, however, the National Cybersecurity Alliance has adopted the theme, ‘Don’t Make It Easy for Them,’ and that message should also prompt organizations to look at a growing source of risk: artificial intelligence (AI).”

“As organizations and individuals adopt AI, we need to remember that AI is not just another technology. It has the potential to be transformational,” Cherkas continues. “It can hold accounts and permissions, see whatever you give it access to and take actions on your behalf. Many organizations and individuals have never considered the implications of these actions.”

Handing over your privilege

Nachreiner warns that the convenience of connecting AI assistants to personal and corporate accounts comes with a significant trade-off. “When we give an AI agent access to our email, files, calendars, financial information, or other accounts, we are giving it our privilege,” he says. “If someone gets access to that AI account or its credentials, they may be able to do almost anything we can do. That makes AI accounts an increasingly attractive target for threat actors.”

His advice is to treat those accounts with the seriousness they deserve. “Protect them like your primary email or bank account. Turn on multi-factor authentication, be skeptical of unexpected links and login requests, and pause before you share sensitive information or approve a connection.”

Cherkas frames the same challenge as a simple test that should be applied before any AI tool is switched on. “So, as the world embraces AI, we must determine three things before access is granted: what it can see, what it can do and who is responsible for it.”

The AI nobody chose

For organisations, the picture is complicated by the sheer number of routes through which AI enters the business. “For businesses, the issue is shadow AI,” says Nachreiner. “It is not just the chatbot someone opens in a browser. It’s also the plug-in, extension, or integration that gets added without security knowing.”

Cherkas goes further, pointing out that some AI arrives without anyone actively adding it at all. “And we also must remember that, in many cases, AI appears even when we never chose it. It’s in the tool approved three years ago that quietly shipped an AI-infused update, the browser extension or the application add-in,” he says. “Some AI adoption arrives without a decision, and the things nobody decided on are the things nobody is watching.”

Visibility first

Both experts agree that organisations cannot govern what they cannot see. “Security doesn’t exist without visibility,” says Nachreiner. “Organisations need to know which AI tools are in use, where their data is going, and what permissions those tools have.”

He highlights encrypted traffic as a particular blind spot. “Our latest research found that 95% of malware arrived over encrypted TLS traffic, yet only 20% of deployed devices inspect that traffic. As more workplace activity and more AI integrations operate through encrypted channels, organisations cannot assume that encrypted means safe.”

From there, Nachreiner sets out a clear order of priorities. “It is visibility first, then policy, then enforcement. So, teams can decide what is allowed, what needs to be turned off, and where controls need to be applied,” he says. “Implementing Shadow AI policies and safeguards is critically important, and something that we have done successfully at WatchGuard to protect our own employees, customers and partners.”

For Cherkas, the effort required is modest compared with the risk of doing nothing. “‘Don’t Make It Easy for Them’ is the right tagline for this year. For organizations, that means adopting AI in a pragmatic, secure and responsible manner. For individuals, it means 10 minutes in your settings. Neither is hard. Both are overdue for many.”



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