According to a McKinsey report, 8 in 10 companies report using GenAI. The question isn’t whether your organization uses GenAI, but how it will use it safely. And, if you are not in front of that question, leading and guiding your team in responsible generative AI use, they may inadvertently use it in ways that compromise data security.
Who Uses GenAI and Why?
Ask your team who is using GenAI and then dig into the reasons why they are using specific platforms. The answers will help guide you as you craft a GenAI use policy and consider paid versions of individual platforms.
Free platforms offer decent web searching, with some, like CoPilot, providing source links. If your team is using these tools to quickly find information, that’s fine. But be sure they understand the ramifications of uploading data or text into any of the “free” and public GenAI tools such as ChatGPT and CoPilot. Most, if not all, free tools ingest data for training purposes. This may or may not expose the data to others. It’s always best to err on the side of caution and limit the use of public, free AI tools to find or use publicly available data. For optimal data protection and security in AI platforms, the best recourse is to select paid, enterprise versions and ensure that security settings protect your organization. is.
The Basics of Business AI Use
Does your organization have a policy for using AI? If not, it’s time to draft one. Such a policy spells out for employees how generative AI may be used, under what circumstances, and which tools employees may use.
If you do not explicitly tell people which platforms they can and cannot use, they will use whatever tools they wish, including platforms that are not controlled as part of your company’s technology systems. These non-company-sanctioned platforms are referred to as “shadow IT.” They can be problematic in that accidentally misusing them can expose your data to unwanted third parties.
Give Employees Access to Approved Platforms
Evaluate your company’s needs and examine workflows. Where might AI tools be helpful? The results of this evaluation can be used to select one or two AI tools to pilot.
Enterprise-level paid subscriptions to common AI platforms, such as paid Microsoft Copilot and Chat GPT, offer multiple benefits. They can be integrated with existing platforms, such as Copilot integration with SharePoint, to maximize efficiency and usage. They can also come with added privacy guardrails that ensure no sensitive data leaks from your company’s systems.
Be sure to read the fine print on any platforms you use. Some enterprise-level subscriptions still do not let users opt out of using data for training purposes, which means your data can be stored on the platform to train the LLM model (Large Language Model). If there is any chance of exposing sensitive data when using your GenAI tools, and it’s set to use them for training, you should skip that tool and find another.
Discuss with your IT team how to secure your data even further. Enterprise-level systems have multiple safeguards, too many to discuss in this article. And each tool differs in what is available and how it is used. The goal is to ensure privacy and security for all your data without compromising productivity.
Limit Access to Sensitive Files and Systems
Another step to maintain data confidentiality is to limit access to it. If users can’t download or view sensitive data, they can’t use it. And, if your AI tools are blocked from specific files, or the files are housed in a separate system that AI cannot access, you are protecting it from unauthorized use. Payroll and HR, for example, may be kept on entirely separate systems to ensure that no sensitive personal information is accidentally leaked through the AI.
Data Loss Prevention
Consider adding data loss prevention tools to your tech stack, too. Data loss prevention is a cybersecurity strategy that helps your company identify, monitor, and protect sensitive data. It helps prevent confidential information from being shared either accidentally or intentionally. It also prevents unauthorized users from accessing data. The tools can block, encrypt, or alert users when they sense risky behavior.
Depending on the data loss prevention platform chosen, they can protect laptops, cloud services, email, and more. These tools are great at helping companies maintain data compliance policies. They can reduce the risk of data breaches and improve overall security.
Employee Training
Lastly, employee training is vital to ensuring responsible AI usage. Just as you provide (or should provide) frequent cybersecurity training to make sure cybersecurity best practices remain top of mind, AI training helps employees understand all the ramifications of using these tools. It also ensures that you set the rules before employees become entrenched in their own way of accessing and using AI.
Responsible AI Usage
As companies continue to adopt AI, it’s vital to maintain safeguards to protect sensitive data. Choosing the right platforms, purchasing enterprise-level licenses, working with your IT department to safeguard data, and even housing sensitive systems and files separately are all possible ways to protect data. Never forget employee training, which is also a key element to keeping data safe.
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