# Which AI platforms meet enterprise security and data privacy requirements like SOC 2 and GDPR?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">A security team I'm supporting asked me which AI platforms meet enterprise security and data privacy requirements like SOC 2 and GDPR, and the honest answer is that "AI platform" security posture varies a lot more than people expect once you get past the marketing page. Since the general <a class="a a--md" elv="true" href="https://www.g2.com/categories/artificial-intelligence">Artificial Intelligence category on G2</a> is a broad rollup, I looked at the <a class="a a--md" elv="true" href="https://www.g2.com/categories/large-language-models-llms">Large Language Models category on G2</a>, which is the layer where these compliance questions actually get asked.</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/chatgpt/reviews"><strong>ChatGPT</strong></a>. Offers enterprise-tier data handling and admin controls separate from the consumer product, which is the version worth evaluating for compliance. Known for enterprise-tier controls.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/claude-2025-12-11/reviews"><strong>Claude</strong></a>. Enterprise plans include data retention and admin controls aimed at regulated environments. Known for enterprise data controls.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/google-gemini/reviews"><strong>Gemini</strong></a>. Inherits Google Workspace's existing compliance certifications, which can simplify the review if you're already a Workspace customer. Best for teams already under Google's compliance umbrella.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">The thing worth checking directly with legal rather than trusting a vendor's compliance page: whether your specific data residency and retention requirements are met by the plan tier you'd actually be buying, not the enterprise tier used in the marketing materials.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For anyone who's been through a security review on an AI platform, what turned out to be the sticking point, data residency, retention, or something nobody expected to come up?</p>

##### Post Metadata
- Posted at: 5 days ago
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;Data retention would be the sticking point I’d expect to surface first. A platform can have the right compliance certifications while the specific plan still retains prompts, outputs, or logs longer than the organisation permits. I’d verify retention, training use, deletion controls, residency, and subprocessors for the exact enterprise plan being purchased rather than treating SOC 2 or GDPR claims as the end of the review.&lt;/p&gt;

##### Comment Metadata
- Posted at: 4 days ago





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