A practical guide to SOC 2 and GDPR for support chatbots

Stevia Putri
Written by

Stevia Putri

Amogh Sarda
Reviewed by

Amogh Sarda

Last edited October 27, 2025

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AI chatbots are showing up in customer support everywhere you look, and it makes sense. They’re handy for answering questions around the clock, but they also handle a ton of sensitive customer data. This means data security and privacy aren't just legal boxes to tick; they're the foundation of your customers' trust.

If you’re looking into AI chatbots, you’ve probably seen the terms SOC 2 and GDPR thrown around. They sound intimidating, but getting them right is essential. This guide will break down these two compliance frameworks, explain what they mean for your support team in plain English, and show you how to pick a secure AI partner you can rely on.

What are SOC 2 and GDPR?

Let's clear something up. While SOC 2 and GDPR both deal with data protection, they come at it from completely different angles. One is basically a report card on a company's security habits, and the other is a set of laws that protect an individual's privacy.

What is SOC 2?

Think of SOC 2 as a vendor's "proof of security." It’s an auditing framework from the American Institute of Certified Public Accountants (AICPA) that checks if a service provider, like an AI chatbot company, is managing its data securely. When a vendor says they are SOC 2 compliant, it means they’ve passed a tough audit of their internal controls.

The audit looks at five main areas, which they call Trust Services Criteria:

  • Security: Are the systems protected from people who shouldn’t have access?

  • Availability: Will the chatbot actually stay online and work when things get busy?

  • Processing Integrity: Does the chatbot do what it’s supposed to without making a mess of things?

  • Confidentiality: Is sensitive information, like chat logs and customer details, kept private?

  • Privacy: Is personal data handled the way the company’s privacy policy says it will be?

For any business, especially in B2B, looking at a vendor’s SOC 2 report is a must. It's the peace of mind you need to know your partner isn't the weak link in your security chain.

What is GDPR?

The General Data Protection Regulation (GDPR) isn't an audit report; it's the law. It’s a set of rules from the EU about how companies collect and handle the personal data of anyone living there. If your chatbot interacts with even one person in the EU, GDPR applies to you, no matter where your office is.

For a chatbot, this comes down to a few key rules:

  • Lawful Basis: You have to get clear, explicit consent from users before the chat begins. That means no pre-checked boxes.

  • Data Minimization: Your chatbot should only ask for the data it absolutely needs to solve the user's problem, and nothing extra.

  • User Rights: Users have the legal right to see, fix, or even delete their entire chat history. You need to give them an easy way to do that.

You can't just ignore GDPR. The penalties are serious, with fines that can go up to €20 million or 4% of your company's global annual revenue, whichever is higher. Ouch.

Key differences between SOC 2 and GDPR

Figuring out how SOC 2 and GDPR differ is really important when you’re looking at AI vendors. A company that only talks about one might have some serious blind spots. They’re designed to work together, not replace each other.

Here’s a quick comparison:

FeatureSOC 2GDPR
Primary FocusThe security of a company's internal systems.Protecting an individual's privacy and data rights.
What it isAn audit framework that results in a formal report.A set of legally binding rules.
ScopeApplies to service companies (like SaaS vendors) that handle client data.Applies to any organization in the world that processes the data of EU residents.
GoalTo prove to clients that a vendor's processes are secure and reliable.To give people legal control over their own personal information.
Chatbot ExampleA vendor’s SOC 2 report proves they have solid encryption, access controls, and a plan for when things go wrong.A chatbot that asks for consent with a clear, unchecked box and has a simple "delete my data" button.
ConsequencesNot having it can cost you business deals and hurt your reputation.Not following it can lead to massive legal fines.

So here's the bottom line: a vendor might seem to follow GDPR rules on the surface (like having a consent checkbox), but without a SOC 2 report, you have no proof that their underlying security is any good. It's a common trap. You might think you're covered, but their actual security could be shaky.

A truly secure platform doesn’t just offer features to help with GDPR, like offering EU data residency. It builds its entire system on a foundation of proven security, using SOC 2 Type II-certified partners to make sure every part of the process is protected.

Why your AI support strategy needs SOC 2 and GDPR

This isn't an either/or situation. A trustworthy AI support strategy has to cover both SOC 2 and GDPR to build confidence and cut down on risk.

Building trust with everyone involved

SOC 2 is for building trust with your business clients, your partners, and your own security team. It answers the question, "Is this AI vendor safe enough for us to do business with?"

GDPR is for building trust with your actual users. It answers their question, "Does this company respect me and my data?" In today's world, you can't afford to fail either of those tests.

Reducing risk from different directions

Think of it as covering all your bases. GDPR compliance protects you from the risk of eye-watering legal fines. A SOC 2-compliant vendor, on the other hand, reduces the risk of a data breach happening in the first place. A breach could easily lead to those GDPR fines anyway, not to mention the hit to your reputation and the customers you'd lose. They work together.

Choosing a vendor that actually gets it

Unfortunately, a lot of AI vendors seem to treat compliance as an afterthought. They often bury their security info behind vague "enterprise plans" that force you into endless sales calls just to get a straight answer.

This is where you should look for a modern, self-serve platform like eesel AI that builds security and compliance in from the ground up. A secure provider is open about its practices. For example, eesel AI's policy is that your data is never used to train general models for other customers. Their whole system is built on SOC 2 Type II-certified partners like OpenAI and Pinecone. And important features like EU data residency are available on their standard Business plan, not locked away as some expensive add-on that takes months to set up.

Practical steps for implementation

Ready to put this into action? Here’s a simple checklist for any manager looking at or launching a support chatbot.

Step 1: Map your chatbot's data flow

First things first, you need to know exactly what kind of personal data your chatbot will be dealing with. Is it just names and emails, or will it see things like order numbers, home addresses, or sensitive support details? Sketch out the entire journey of that data, from the moment a user types "hello" to where that conversation is stored. This will make your specific compliance needs crystal clear.

Step 2: Check your vendor's credentials

Don’t just take a vendor's marketing page at face value. Here are a few questions you should always ask:

  • Can we see your SOC 2 report?

  • How do you help us with GDPR tasks, like when a user wants their data deleted?

  • Where is our data physically stored? Can we opt for EU data residency?

  • Is our data used to train your AI models for other companies?

With a platform like eesel AI, you don’t even have to ask. The answers are public and clear: your data is yours alone, EU residency is a standard option, and the privacy policies are easy to find. You can sign up and start building an AI agent in minutes without talking to a salesperson, so you see everything from day one.

Step 3: Configure with "privacy by design"

Having a secure tool is great, but you also have to set it up correctly. "Privacy by design" is just a fancy way of saying you should set up your chatbot to be as privacy-friendly as possible from the start.

A big part of this is only using the data you need. Use features that limit what the AI can see so it only accesses the information required to do its job. This is where eesel AI's scoped knowledge and selective automation controls come in handy. You can tell the AI exactly which knowledge base articles it can read and what kind of tickets it's allowed to handle, which stops it from wandering into sensitive topics it shouldn't.

A view of eesel AI's customization rules, which allow for scoped knowledge and selective automation to enhance privacy and compliance.
A view of eesel AI's customization rules, which allow for scoped knowledge and selective automation to enhance privacy and compliance.

Testing is also huge. Instead of just launching and hoping for the best, eesel AI’s simulation mode lets you test your setup on thousands of your past tickets in a safe environment. You can see exactly how the AI would have responded, letting you catch any potential privacy or accuracy issues long before a real customer ever sees them.

The simulation mode in eesel AI allows users to test their setup on past tickets, ensuring compliance with SOC 2 and GDPR for support chatbots before going live.
The simulation mode in eesel AI allows users to test their setup on past tickets, ensuring compliance with SOC 2 and GDPR for support chatbots before going live.

How pricing models reveal commitment to compliance

You can learn a lot about a vendor's attitude toward security just by looking at their pricing page. If security features are hidden behind a "Contact Sales" button for a custom enterprise plan, that's often a red flag. It usually means security isn't standard, it's a luxury you have to pay extra for.

By contrast, eesel AI's transparent pricing shows a commitment to making security accessible to everyone.

A screenshot of eesel AI's transparent pricing page, where security features are included in standard plans, demonstrating a commitment to SOC 2 and GDPR for support chatbots.
A screenshot of eesel AI's transparent pricing page, where security features are included in standard plans, demonstrating a commitment to SOC 2 and GDPR for support chatbots.
PlanMonthly (bill monthly)Effective /mo AnnualBotsAI Interactions/moKey Unlocks
Team$299$239Up to 3Up to 1,000Train on website/docs; Copilot for help desk; Slack; reports.
Business$799$639UnlimitedUp to 3,000Everything in Team + train on past tickets; MS Teams; AI Actions (triage/API calls); bulk simulation; EU data residency.
CustomContact SalesCustomUnlimitedUnlimitedAdvanced actions; multi‑agent orchestration; custom integrations; custom data retention; advanced security / controls.

Notice how important compliance and security features like EU data residency and bulk simulation are included in the standard Business plan. This isn't some costly, custom add-on; it's part of the main product. Plus, the predictable pricing with no per-resolution fees means you can grow your support operations without getting a nasty surprise on your bill.

Security and privacy are the foundation

Dealing with chatbot compliance doesn't have to be a nightmare. Just remember these two things: SOC 2 is your vendor's security report card that proves their systems are solid. GDPR is the law that protects your users' right to privacy. You absolutely need a plan for both.

In the age of AI, picking a chatbot partner is a major security decision. But launching a secure, compliant AI support agent shouldn’t take months of legal reviews and painful integrations. With the right platform, you can build trust from the very first chat.

Ready to deploy an AI support agent built on a foundation of security and trust?

Get started with eesel AI in minutes. Our platform offers transparent pricing, powerful security features, and one-click integrations with your existing helpdesk, no sales call required. Try it for free today.

Frequently asked questions

SOC 2 is an audit framework that proves a vendor's internal security controls are robust, essentially a security report card. GDPR, however, is a legally binding regulation from the EU that protects individual users' data privacy rights. While SOC 2 is about system security, GDPR is about user control over personal information.

It's crucial to consider both because they address different but complementary aspects of data protection. SOC 2 ensures your vendor's systems are secure against breaches, while GDPR protects you from legal fines by upholding user privacy rights. Together, they build trust with both your clients and your end-users, minimizing overall risk.

You should ask to see their SOC 2 report, how they facilitate GDPR user rights (like data deletion), where your data is stored (e.g., EU data residency options), and whether your data is used to train general AI models. A transparent vendor will have clear answers to these questions, often publicly available.

"Privacy by design" means proactively building privacy considerations into your chatbot's setup from the beginning. This includes limiting data collection to only what's necessary and using features like scoped knowledge to control what information the AI can access. This proactive approach helps prevent compliance issues before they arise.

Failing to comply with GDPR can lead to significant legal fines, potentially up to €20 million or 4% of global annual revenue. Not having a SOC 2-compliant vendor, while not directly incurring fines, increases your risk of data breaches, which can damage your reputation, lead to lost business, and indirectly result in GDPR penalties.

Reputable AI platforms, like eesel AI mentioned in the blog, explicitly state that your customer data is never used to train their general models for other customers. This practice is essential for maintaining privacy and ensuring your adherence to regulations like GDPR and the security standards covered by SOC 2.

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Stevia Putri

Stevia Putri is a marketing generalist at eesel AI, where she helps turn powerful AI tools into stories that resonate. She’s driven by curiosity, clarity, and the human side of technology.