AI compliance is still emerging as a topic, but regulations like the EU AI Act(nytt fönster) make compliance compulsory.
However, many AI tools weren’t built to be compliance-ready. They log conversations, use your data for training, and provide little transparency about where your data ends up. That creates significant compliance risks for businesses adopting new AI technologies.
This guide explains what AI compliance is, how to choose the right tools, and how to stay compliant over time.
What is AI compliance?
AI compliance means using business AI assistants and other tools responsibly while meeting legal and ethical requirements. It differs from traditional data security compliance.
AI systems don’t just store your data; they also process it and learn from it, which creates new risks for businesses. Your business data could be used to train models, shape their outputs, or even appear in responses for other users.
According to McKinsey’s 2026 AI Trust Maturity Survey(nytt fönster), awareness is outpacing action. Across every risk category, mitigation lags behind awareness. For example, 54% of respondents identify personal privacy as a relevant AI security risk, but only 44% are actively working to mitigate it.
AI compliance addresses these risks by focusing on:
- Protecting personal data and privacy
- Securing data against unauthorized access
- Ensuring transparency in AI decision-making
- Preventing discrimination and bias
Why AI compliance matters
The regulatory landscape for AI is evolving quickly, alongside the technology itself. In 2024, the EU AI Act came into effect as the first comprehensive AI regulatory framework.
It bans certain uses of AI and places strict requirements on others. For example, some systems must clearly disclose that people are interacting with AI.
While most countries do not yet have comprehensive AI laws, existing regulations may still apply at national or regional levels. Frameworks like GDPR and HIPAA already restrict how you can use personal data, including in AI systems.
AI compliance is not just about avoiding fines. It also helps you maintain trust and reduce legal risk. If AI systems produce biased or incorrect outcomes, you risk losing customer trust, facing regulatory scrutiny, or opening yourself up to legal action.
How to choose the right AI tools for small businesses
Choosing compliant AI tools isn’t fundamentally different from choosing a tool that handles sensitive data. As we covered earlier, AI systems don’t just store data; they learn from it and can expose it in unexpected ways.
Here’s what to focus on:
Data protection and privacy
Choose tools that encrypt your data and comply with regulations such as GDPR. Vendors should be transparent about where your data is stored, who can access it, and whether it is used to train AI models. Make sure you can delete your data when needed.
Transparency and control
Choose tools that explain how decisions are made and allow for human oversight. This helps you justify outcomes to customers or regulators and ensures you retain control when needed.
Fairness and ethical use
Choose tools that include safeguards to reduce bias and discrimination, especially for sensitive use cases like hiring or customer support. Vendors should also be able to explain how they test for fairness and address issues when they arise.
Compliance support
Choose tools that align with your industry regulatory requirements and provide documentation for audits. This makes it easier to demonstrate compliance, especially in regulated sectors like healthcare.
Best practices for maintaining AI compliance
Choosing the right tools is just one part of the equation. The other half is staying compliant, which requires ongoing effort.
Establish AI guidelines
The infamous 2023 Samsung-ChatGPT leak(nytt fönster) occurred when employees accidentally shared confidential trade secrets by pasting them into ChatGPT. It’s an incident that could have been prevented with established AI guidelines.
AI guidelines let your team know what’s acceptable and what isn’t when it comes to AI use. Your AI policy should cover which tools are approved, what they can be used for, and what data can and cannot be shared with them. Also, assign someone to maintain and update these guidelines as regulations and technology evolve.
Keep records of AI usage
If you can’t show how AI is being used in your business, you’ll struggle to respond when regulators or auditors ask questions. Track which tools are in use, what decisions they’re influencing, and any significant outputs. Where possible, ask vendors for usage logs and model update reports to simplify documentation.
Minimize and anonymize data
The less personal data you feed into AI systems, the lower your risk. Only share what’s necessary for the task, and strip out identifying details like names and addresses where possible. And make sure you have explicit permission before using customer or employee data with AI tools — don’t assume consent.
Monitor for unfair treatment
AI systems can develop biases from historical data, even when those biases are unintended. You should regularly review output for discriminatory patterns that disadvantage people by age, gender, race, sexuality, or other characteristics.
Amazon scrapped an AI recruiting tool(nytt fönster) in 2018 after discovering it downgraded resumes from women. The system had been trained on a decade of historical resumes — most from men — and learned to treat male candidates as the standard for success, penalizing resumes that deviated from that pattern.
How Proton helps businesses achieve strong AI compliance
AI may be a new frontier, but the fundamentals of compliance remain the same — strong data management, clear access control, and visibility over how your information is used.
Proton for Business is a suite of team collaboration tools built on these principles and extends them to AI with Lumo, our privacy-first AI assistant.
Keep full control of your data with Lumo
Need to summarize a confidential contract, brainstorm a sensitive business strategy, or analyze financial documents? With most AI tools, that’s risky — your inputs could be logged, used for training, or accessed by third parties.
Lumo is a business AI assistant that lets you work with sensitive information freely. No logs, no training on your data, and everything encrypted so only you can read it.
Manage credentials with Proton Pass
When employees share passwords over email or keep them in spreadsheets, you lose visibility over who has access to what — and that’s a compliance liability.
Our business password manager, Proton Pass, gives you a secure way to manage and share credentials, with clear oversight over access. When someone leaves, revoking their access only takes seconds.
Keep your files private with Proton Drive
Enjoy the productivity benefits of AI without the compliance challenges.
Proton Drive is a business cloud storage solution that integrates directly with Lumo, so your files stay within an end-to-end encrypted environment, allowing you to use AI with client documents or financial records without exposing them to third parties.
Protect your network with Proton VPN
When your team accesses AI tools or business systems from outside the office, unsecured networks create gaps in your data protection.
A business VPN encrypts their connections, keeping sensitive information protected in transit. And with a strict no-logs policy, there’s no record of your team’s activity that could be exposed or subpoenaed.
Backed by Swiss privacy laws
As a Swiss company, Proton operates under strong privacy protections. This limits external access to your data and helps safeguard your business.
Protect your business and ensure AI compliance with a secure business suite
With Proton Workspace, your business gets access to secure email, cloud storage, a password manager, VPN protection, and a private AI assistant. Proton’s entire ecosystem works together to keep your business private and compliant.
