Best Practices for Reducing Risk When AI Touches Customer Data
Managing Risk Cyber Security

Best Practices for Reducing Risk When AI Touches Customer Data

5 min read
Learn how to use AI safely in your small business. Discover best practices for protecting customer data, reducing cyber and HR risks, and creating responsible AI policies.
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Small businesses are embracing artificial intelligence to write emails and respond to customers. AI also helps manage records, analyze sales and automate routine work. But problems can arise when your employees start entering confidential business information into AI tools. These include privacy, security and reputational risks.
 
Using AI on a daily basis requires you to think beyond the immediate benefits. In particular, it’s important that your employees understand where the data they share is going. They also need to know how it may be used. The goal for small business owners is to maximize AI efficiency while safeguarding company and customer data, which requires balancing automation with robust data security.
 
Here are some best practices to help you protect your data.

Protect Customer Information

Sensitive customer data could be at risk when your employees use AI in routine tasks like drafting replies, summarizing complaints or analyzing customer records.
 
Although AI automation can save time, entering customer data — such as names, addresses, payment details, contracts or service records — into AI tools can increase the risk of exposing confidential information.
 
Healthcare providers face even greater challenges. Dental practices, medical offices and physician assistants, for example, must take extra care when employees use AI tools. Even routine tasks can involve protected health information. A staff member might use AI to draft patient emails, summarize treatment notes, prepare referral letters or review billing questions. Employees could expose protected information if they enter patient names, medical histories, insurance information or other identifying details into an unapproved AI tool.
 
This risk goes beyond major data breaches. A chatbot or other AI platform can create HIPAA problems if it shares or stores protected patient information in the wrong way.  HIPAA, which stands for the Health Insurance Portability and Accountability Act, is the federal law that sets rules for how healthcare organizations must protect private patient information.
 
Your risk increases if an AI tool has not been approved for healthcare use or does not have the proper business associate agreement. Compromised medical data can lead to legal problems, financial penalties and closer review from regulators.
 
Whether you run a healthcare practice, hair salon or accounting firm, you need to train your staff on AI use and create clear policies for protecting personal information. For example, an accounting firm might train staff not to upload client financial records into public AI tools because those documents can include confidential tax and income information.

Secure Business Data and Systems

Business data systems can be vulnerable when it comes to cybersecurity. AI often creates new ways for employees to accidentally leak private information. Security problems can arise for many reasons, like when your employees upload financial records. You should also protect vendor contracts, pricing data, passwords and payroll details.
 
Data exposure can happen during routine work, such as when a bookkeeper uploads financial reports for analysis or a manager enters supplier terms into a chatbot to draft a response.
 
Data management safeguards are the best defense against data breaches.
 
Follow these steps to secure your data infrastructure: 
 
  • Deploy AI-powered defenses that use automated security tools to detect potential problems.
  • Verify every user and device on your network.
  • Encrypt sensitive data before exposing it to AI applications. 
 
Cyber insurance, including data breach coverage, can provide another safety net in the event of a hack or employee error. Standard policies do not restrict coverage based on who made the mistake. This type of insurance typically can help businesses respond to data breaches and related cyber threats.

Guard Against Inaccurate AI Output

Data breaches aren’t the only risk from automation. AI can produce polished but inaccurate, misleading or insensitive content. One incorrect refund answer, false marketing claim or copied phrase can damage trust.
 
An AI chatbot, for example, might deliver the wrong warranty policy information.  Auto-generated marketing copy could make an unsupported claim. Or a customer-service response might sound cold or dismissive.
 
Two proactive steps can reduce your exposure:
 
  1.  Use strict guidelines that only allow your AI chatbot to access approved documents.
  2.  Establish “human-in-the-loop” workflows. These should require an editor or expert to review mission-critical AI responses.
Insurance can help you in the event something goes haywire. Professional liability (or known as errors & omissions insurance) is worth considering. It can help protect you if a customer claims your business made a mistake. This coverage specifically relates to professional services or advice.

Reduce HR Exposure to AI

When well-meaning employees use unapproved AI tools, they can increase your business risk. Even small AI missteps can be disruptive. It can impact human resources, hiring, scheduling and performance reviews.
 
Employee misuse of AI also can overlap with cyber and privacy risks. A supervisor, for example, might use AI to draft a disciplinary memo. A hiring manager could lean on AI to screen applicants. Or an office manager might enter employee complaints into a chatbot.
 
One of your best defenses against HR risks is oversight. The goal is to avoid fully automated decision making. Protect privacy by anonymizing prompts and consider banning public chatbots for sensitive communications.
 
Finally, you can reduce security risks blocking unapproved AI tools. Auditing AI-generated code for vulnerabilities is also a good idea.

Use Practical Guardrails

Practical guardrails can help you manage increased use of automation. Be sure to create an AI policy. It should cover approved tools, prohibited data, human review and escalation procedures.
 
You can put risk protections in place with a simple "traffic light" framework to guide employee AI usage. A traffic light framework for AI is a simple policy model that tells your employees which AI uses are allowed, which need caution or approval, and which are prohibited.
 
Here's how that type of system might work for your business:
 
  • Green: Allow employees to freely use AI for everyday brainstorming or first drafts of public marketing copy.
  • Yellow: Require a human review before any text is published or acted upon. Tasks like drafting employee memos or screening applicant resumes should be reviewed.
  • Red: Actions are strictly forbidden. For instance, employees must not paste sensitive information into public chatbots.

The Bottom Line

AI can help small businesses improve efficiency, but only if owners set clear rules. The goal is responsible adoption. Automate routine work, but make sure to protect your business data and your company’s reputation.
 
To learn more about business risks and find additional insights and resources, visit The Hartford’s Small Business Insights Center.

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