Artificial intelligence is rapidly becoming part of everyday business operations. Employees are using AI tools to summarize documents, generate content, analyze information, write code, automate processes, and complete routine tasks more efficiently. While these technologies can improve productivity, they can also introduce significant risks when employees use them without IT approval or organizational oversight.
This unauthorized use is commonly known as shadow AI. For businesses throughout North Carolina, understanding where and how employees are using AI is becoming an important part of cybersecurity and compliance. With clear governance policies, ongoing cybersecurity services, and regular cybersecurity risk assessment practices, organizations can benefit from AI while maintaining greater control over sensitive business information.
Understanding Shadow AI in the Workplace
Shadow AI refers to employees using artificial intelligence applications, platforms, or features that have not been formally reviewed or approved by their organization. Similar to shadow IT, these tools may operate outside established technology management and security processes.
Examples can include employees:
- Entering company information into public AI chatbots
- Uploading documents to unauthorized AI platforms
- Using AI-powered browser extensions
- Connecting AI applications to company accounts
- Using unapproved AI coding or automation tools
Employees may adopt these technologies with good intentions, often because they make a particular task faster or easier. The problem is that IT teams may have no visibility into what information is being entered, where that data is processed, or how long an external provider retains it.
Organizations also need to consider AI features being added to existing software. A previously approved application may introduce new AI functionality that changes how organizational data is processed or shared.
Identifying these tools through a cybersecurity risk assessment can help businesses understand their exposure before establishing appropriate controls.
Why Unmanaged AI Creates Security and Compliance Risks
The biggest concern surrounding shadow AI is the potential loss of control over sensitive data. Employees could unintentionally enter confidential business information, intellectual property, customer records, financial information, or other protected data into an AI system.
Depending on the platform and its configuration, that information may be stored or processed outside the organization's normal security environment.
Shadow AI can create risks involving:
- Data privacy and confidentiality
- Third-party vendor security
- Intellectual property
- Regulatory requirements
- Contractual obligations
- Access and identity management
Unmanaged applications can also complicate IT compliance. Organizations may have policies governing how sensitive information is stored and transmitted, but those policies are difficult to enforce when employees use tools that IT teams cannot see.
Professional cybersecurity services can help organizations evaluate AI-related risks alongside their existing cybersecurity controls. This provides a clearer picture of how new technologies affect the organization's overall security posture.
Establishing Practical AI Governance
Preventing shadow AI does not necessarily mean prohibiting artificial intelligence altogether. A more sustainable approach is establishing clear rules that allow employees to use approved AI tools within defined boundaries.
An effective AI governance strategy may include:
- Maintaining a list of approved AI platforms
- Establishing acceptable-use policies
- Defining what information employees may enter into AI systems
- Reviewing AI vendors before deployment
- Applying appropriate access controls
- Training employees on AI-related cybersecurity risks
- Periodically reviewing AI usage and policies
Organizations should also determine who is responsible for approving new AI applications. IT, cybersecurity, compliance, legal, and business leadership may all need to contribute depending on how the technology will be used.
Regular cybersecurity risk assessment processes should evolve to include AI platforms and integrations. Because AI technology changes rapidly, a tool considered acceptable today may introduce new capabilities or risks in the future.
Combining governance with ongoing cybersecurity services allows businesses to adopt useful technology without sacrificing visibility and control.
Shadow AI demonstrates how quickly technology adoption can move beyond traditional IT oversight. Without clear policies, businesses may unknowingly expose sensitive information or create gaps in their security and compliance programs. Progressive Computer Systems helps North Carolina organizations evaluate technology risks, strengthen IT compliance for cybersecurity, and develop security strategies that evolve alongside emerging technologies. Contact us today to learn how your organization can create a safer, more manageable approach to workplace AI.
