Top Tips for Using AI Safely in 2026

AI has become one of the most useful tools available to modern organizations. It is capable of speeding up research, identifying patterns in complex datasets, drafting communications, and automating repetitive tasks. But usefulness comes with risk. AI tools process real data, including sensitive information. That data can end up exposed if the right safeguards aren’t in place. Here’s how to use AI safely across your organization.

Manage Team Usage

Before rolling out AI tools across departments, establish clear ownership. Someone needs to be accountable for approving which tools are in use, reviewing how they’re being used, and maintaining an inventory of all AI systems within the organization. Without this visibility, shadow AI, where employees use unapproved tools with company data, becomes a serious exposure risk.

According to IBM’s Cost of a Data Breach Report 2025, 63% of organizations lack AI governance initiatives, and for those with high levels of shadow AI, the cost of a breach increases by an average of $670,000. Frameworks such as the NIST AI Risk Management Framework can help organizations align AI adoption with their risk tolerance and business objectives. Notably, this happens through structured, auditable governance.

Protect Sensitive Data

What employees feed into AI tools matters as much as which tools they use. Documents, prompts, and outputs can contain confidential information, such as financial data, personal employee records, and client details. Once that data enters a third-party AI system, control over it becomes limited.

Organizations should restrict the types of data shared with generative AI, enforce anonymization where possible, and ensure usage aligns with applicable privacy laws. The scale of the risk is significant: AI-related privacy and security incidents jumped 56% in a single year, with 233 documented cases in 2024 alone, according to Stanford’s 2025 AI Index Report. Yet, fewer than two-thirds of organizations have active safeguards in place.

Strengthen Your Security

Safe AI usage is as much a behavioral issue as a technical one. Teams need clear guidance on verifying AI outputs, avoiding over-reliance on generated content, and recognizing the limits of AI accuracy, especially when researching sensitive topics.

For organizations handling confidential research inputs or sensitive prompts, using a Tor browser can help limit the exposure of user metadata. It also adds an additional layer of protection when privacy is a priority. Regular security training that specifically addresses AI-related risks should be part of any organization’s standard onboarding and compliance program.

Protect Your Accounts

Account security is often an afterthought when rolling out new tools, but it’s one of the most straightforward risks to address. Make sure that every team member uses strong, unique passwords for their AI tool accounts, and a password manager makes this easy to maintain at scale. Moreover, multi-factor authentication (MFA) should be mandatory instead of optional; it’s one of the most effective defenses against unauthorized access. A compromised account with access to sensitive AI workflows can cause significant damage quickly.

Conclusion

AI is only as safe as the policies and habits surrounding it. Getting the governance, data handling, security practices, and account hygiene right puts your organization in a far stronger position to benefit from these tools without unnecessary exposure.