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The emergence of Shadow AI

Employees using unauthorized artificial intelligence tools has become a growing challenge that businesses can no longer ignore. Just like the “shadow IT” wave that hit organizations a few years ago, when employees downloaded apps or software without approval, shadow AI is gaining ground as workers look for quick ways to improve productivity without waiting for official green lights. It seems convenient, but it can lead to serious problems down the road.

The Rise of Shadow AI

Recent reports highlight an alarming trend: companies often have dozens of generative AI tools active internally, with about 67 tools on average, and nearly 90% of these are unlicensed or unapproved. Employees typically don’t choose these tools to cause harm; they’re simply looking to speed up their tasks or boost their productivity without the delays that come from formal approval processes. The problem is, this well-intentioned shortcut often exposes sensitive information to risks. Especially troubling is the fact that many AI tools originate from regions where data protection regulations might not align with your organization’s standards, increasing exposure to security threats.

What are the risks involved?

The biggest risk with shadow AI is the unintentional leakage of sensitive corporate information. Employees may unknowingly input proprietary or confidential data into AI applications that haven’t been vetted by the company’s IT or security teams. Once this data enters external databases, it’s challenging, sometimes impossible, to control or retrieve. This unintended exposure can result in serious compliance issues, privacy breaches, or even legal action.

Additionally, unapproved AI tools might not comply with your organization’s cybersecurity standards, creating vulnerable entry points for cyberattacks. Without proper oversight, these tools can quietly erode your organization’s security perimeter, leaving you open to data breaches, ransomware attacks, and other cyber threats.

What to do? Governance Over Prohibition

Simply banning unauthorized AI tools won’t solve the problem. Employees often find workarounds, especially when they perceive bans as productivity barriers. A more effective strategy is to establish clear guidelines and governance around AI use.

  1. Implementing Clear Policies: Start by clearly defining and communicating what AI tools are approved, and what the criteria are for their approval. Clear policies give employees transparency about what’s acceptable and what’s not, reducing the temptation to use unauthorized tools.
  2. Enhancing Monitoring: Rather than waiting for incidents to occur, proactively deploy systems that identify when unauthorized AI tools are being used. Regular monitoring helps spot issues early, allowing your organization to manage risks before they escalate into larger security incidents.
  3. Educating Employees: Regular training and awareness sessions can significantly reduce the likelihood of unintentional misuse of AI. When employees understand the potential consequences of shadow AI, they’re more likely to follow company protocols and help maintain a secure IT environment.
  4. Encouraging Approved Alternatives: Provide accessible, user-friendly, and officially approved AI tools that meet employee needs. If workers have suitable options available, they’re less likely to seek unauthorized alternatives.

Stay out of the shadows!

Balancing innovation with security is essential as AI becomes increasingly integrated into daily business operations. Organizations that establish a clear governance framework around AI usage can benefit significantly from advanced technology without sacrificing security. Creating a culture where compliance is the norm, and proactively managing AI tool usage, positions your company to safely harness the full potential of artificial intelligence.


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