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5 ways AI tools can create security risks at work

AI tools can create security risks

AI tools have quickly become part of everyday business operations. Employees use ChatGPT and other AI tools to write emails, summarize documents, analyze information, generate ideas, create code, and automate repetitive tasks. While these technologies can improve productivity, they also introduce security risks that businesses cannot afford to ignore.

The problem is not necessarily the technology itself. The bigger concern is how employees use AI tools, what information they enter into them, and whether the business has appropriate security controls in place.

What Are AI Tools?

AI tools are software applications that use artificial intelligence to perform tasks that traditionally require human input. ChatGPT, Microsoft Copilot, Google Gemini, and AI-powered coding assistants are examples that employees may use in the workplace.

Because many AI tools are easy to access through a web browser, employees can start using them without involving the IT department. This can create what is sometimes called “Shadow AI”—the use of artificial intelligence applications that have not been officially approved or monitored by an organization.

How AI Tools Can Create Security Risks

1. Employees May Share Sensitive Information

One of the biggest risks associated with AI tools is employees entering confidential information into an AI chatbot.

For example, an employee might paste customer information, internal reports, financial data, passwords, source code, or business documents into an AI application to get assistance with a task.

Even if the employee has no malicious intent, sending sensitive information to an external service can create privacy and security concerns.

Businesses should establish clear rules about what information employees are allowed to enter into AI tools.

2. Shadow AI Can Bypass IT Security

Employees can easily download or sign up for AI tools without asking their IT department. This makes it difficult for organizations to know which applications are being used and what data is being shared.

Without visibility, IT teams may not be able to assess whether an application meets the company’s security and privacy requirements.

This is why businesses should maintain an approved list of AI tools and regularly review applications being used across the organization.

3. AI-Generated Code Can Introduce Vulnerabilities

Developers increasingly use AI tools to generate or troubleshoot code. This can save considerable time, but AI-generated code is not automatically secure.

An AI assistant can produce code containing vulnerabilities, outdated practices, or errors. If developers copy the code directly into a production application without reviewing it, security problems can make their way into the organization’s systems.

Organizations should treat AI-generated code like code written by any other source: it needs testing, review, and security validation.

4. Phishing Attacks Can Become More Convincing

Cybercriminals can also use AI tools to create convincing phishing emails, social engineering messages, and other fraudulent content.

Traditional phishing emails often contain obvious spelling or grammatical mistakes. AI can make malicious messages more polished and personalized, making them harder for employees to identify.

Businesses should therefore continue security awareness training and teach employees how to recognize suspicious links, unusual requests, impersonation attempts, and unexpected attachments.

5. Employees May Rely on Incorrect Information

Another concern is that AI tools can sometimes generate inaccurate or misleading information.

An AI system may produce an answer that sounds confident while containing factual errors. If employees use AI-generated information without verification, those mistakes can affect business decisions, customer communications, technical configurations, or security procedures.

AI should assist employees rather than replace appropriate human review.

How Businesses Can Use AI More Safely

Completely banning AI tools may not be practical for many organizations. Instead, businesses should establish policies that allow employees to use AI responsibly.

Start by creating an acceptable-use policy that explains which AI tools employees are permitted to use and what types of information they must never enter.

Organizations should also implement strong access controls. Multi-factor authentication, least-privilege access, and regular account reviews can reduce the consequences of compromised accounts.

IT teams should monitor the use of AI tools where appropriate and provide employees with approved alternatives for common tasks.

Employee training is equally important. Staff should understand why confidential information should not be pasted into an AI chatbot and know how to identify AI-assisted phishing and social engineering attempts.

Businesses should also regularly review the privacy policies, security controls, and data-handling practices of the AI tools they approve.

Don’t Let Productivity Create a Security Blind Spot

The growing use of AI tools presents both opportunities and challenges for businesses. These technologies can help employees work faster and automate repetitive tasks, but careless use can expose sensitive information and create new attack surfaces.

The goal should not be to prevent employees from using AI altogether. Instead, businesses need a practical security framework that allows employees to benefit from AI while protecting company data.

By establishing clear policies, providing approved AI tools, monitoring usage, training employees, and maintaining strong cybersecurity controls, organizations can reduce unnecessary risk.

As artificial intelligence becomes increasingly embedded in the workplace, businesses that address security early will be better positioned to take advantage of the technology without sacrificing the protection of their data, systems, and customers.

If your organization is unsure whether its current approach to AI tools is secure, an IT security assessment can help identify potential gaps and provide practical recommendations for safer AI adoption.

Miracle technologies is a comprehensive NYC based Managed IT Services for Business IT Infrastructures.  Our platform is built upon years of unmatched experience at AT&T Labs Research and renowned Wall Street MSPs. We offer cloud computing support, data center support, C suite services, backbone servers support, security servers, 24/7 managed IT support and Business Continuity/Disaster Recovery and protection against cybersecurity threats. It is our mission to make your business cyber secure.

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