An employee uses an artificial intelligence (AI) tool to summarize meeting notes, draft a proposal, troubleshoot code, or research a client issue. It may save time. It may also expose customer information, confidential business data, or proprietary material to an AI tool that leadership never reviewed or approved.
Our point is not that artificial intelligence is inherently unsafe. The point is that AI adoption is happening, and happening fast, and businesses need clear guardrails before convenience creates unintended exposure and Shadow AI slithers into the IT environment, bringing new opportunities for risk and compromise. Even if your team uses purposely selected and approved AI tools within your organization, the security risk looms larger than ever.
Why is security front and center of the artificial intelligence conversation? Not only can AI provide expertise that empowers bad actors by creating nearly seamless social engineered attacks, but powerful AI tools built for business can easily create an opportunity for missteps by employees who may not understand how a tool stores, trains on, shares, or retains submitted information, or the unintentional risk of using a public browser, a personal account, an unapproved application, or simple copy-and-paste action.
More and more, conversations about the adoption and use of artificial intelligence must include a detailed look at security and governance so that organizations can take advantage of the power of AI without taking unnecessary risks. For many businesses, that means leaning into their business technology partner, leveraging the knowledge and experience of their MSP for guidance.
Let's start with Shadow AI, the use of artificial intelligence tools by employees without formal approval, oversight, or clear guidance from the business. It is closely related to "shadow IT," when employees use unapproved applications or devices to get work done outside of the organization's technology and security processes.
In nearly all cases, the intent is not malicious, nor are employees ignoring directives from the company. Rather, they are looking for faster ways to write, research, analyze information, summarize meetings, or automate repetitive work. Teams want to experiment with tools that may genuinely make them more productive, while company policies and approved technology options have not always kept pace with demand.
The risk is that artificial intelligence often works by receiving information from the user. If an employee pastes customer details, financial information, internal documents, or strategic plans into an unapproved tool, the organization may lose visibility into where that information goes, who can access it, and how it may be retained or used.
This should not be approached as a "gotcha" issue. A punitive response simply encourages employees to hide their usage. The better business response is to create a safe, practical path for innovation. That means providing clear guidance, approved tools, and a straightforward way for employees to ask questions or propose new use cases.
Because data is the fuel for AI, most security concerns are rooted in the wrong information being used with artificial intelligence tools. Again, this mostly happens when employees aren't aware of guidelines or get a little too comfortable copying and pasting data into a tool they trust.
Sensitive Data Exposure
Artificial intelligence tools can create meaningful exposure when users enter sensitive information without understanding the tool's data practices. That may include customer information, financial details, legal documents, employee data, login credentials, proprietary content, and internal strategy. Even a seemingly harmless fragment can create risk when combined with other information. A client name, project detail, email excerpt, and a few operational notes may be enough to reveal confidential business context. Before using any AI tool for work, employees should know what data is appropriate to share—and what must remain inside approved business systems.
Unclear Vendor Practices
Not every AI platform handles business information the same way. Before an organization approves a tool, it should understand where data is processed and stored, whether information is retained, whether it can be used to train or improve the model, and who may be able to access it. Every organization using AI tools needs to confirm whether the vendor meets its contractual, privacy, security, and compliance obligations. A free or consumer-focused tool may be useful on the surface but may not provide the controls, encryption, auditability, or data protections a business needs, much like other Shadow IT applications.
Inaccurate or Unreviewed Output
Artificial intelligence can produce information that sounds polished and confident but is incomplete, biased, incorrect, or entirely fabricated. It can be a valuable assistant, but it is not a substitute for professional judgment, subject-matter expertise, or accountability. Employees should never treat AI-generated output as final business guidance—particularly when it affects customers, legal or financial decisions, security, compliance, or operational strategy. Human review remains essential. The goal is to use AI to accelerate good work, while keeping people responsible for validating the output and making the final decision.
Learn more about adopting AI in your small business
Most organizations have addressed issues such as sensitive information and privacy in existing company policies, so the easiest way to address AI concerns is to revisit and revise your current policies. If you've addressed shadow IT in acceptable use policies, be sure to specifically call out AI tools, especially free or browser-based options. Privacy policies that limit where and how sensitive or personal data is used can be expanded to address AI-specific scenarios. As always, take the time to explain and review your governance with employees annually. Many organizations review rules once, during new employee onboarding, and never revisit the topic. Ongoing review and engagement are necessary to keep employees aware and engaged.
Keep in mind, your AI governance shouldn't stifle usage, or your team will simply go underground. Instead, AI policies for small businesses should provide guardrails while encouraging discovery, piloting tools, and testing useful ideas.
If your organization is considering a more formal approach to leveraging AI, we have some advice. First, remember that AI is a tool, not a business strategy. It won't transform your business overnight, but it can deliver immense value when applied thoughtfully to the right work, with the right controls and clear responsibility for the outcome. As part of Shield Technology Partners, Exigent has a front-row seat to that community's exciting efforts to uncover best practices for using AI and then share them with our clients.
We believe in a business-first approach, which is rooted in a simple question: Where can AI help our people perform better, more consistently, and securely?
To start your journey, consider these questions:
With those answers front and center, you can then start to consider where you want to experiment with AI, keeping a clear focus on security while you explore.
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Artificial intelligence is not a future security conversation. It is a current business decision about a powerful tool. The organizations that benefit most will be those that create practical guardrails early enough to support innovation without sacrificing trust or control.
If you'd like to discuss a business-first approach to AI, let's talk.