Regulatory mappingFramework-specificActionable controls

How compliance frameworks apply to AI tool usage

HIPAA, GDPR, SOX, PCI-DSS — your organization is already governed by compliance frameworks. But how do they apply when your team uses AI tools? This guide maps regulatory requirements to practical AI controls you can implement today.

Framework Coverage

Compliance frameworks and AI controls

Every feature designed to help your team work smarter with AI.

01

HIPAA for healthcare AI

Protected health information must never reach AI models without authorization. Implement PHI detection rules that scan for patient names, medical record numbers, diagnoses, and treatment details.

02

GDPR for data protection

GDPR requires explicit consent for processing personal data. When employees paste customer data into AI tools, it constitutes processing. DLP rules should detect and block PII from EU residents.

03

SOX for financial reporting

SOX requires controls over financial data integrity. AI tools used in financial workflows need audit trails, access controls, and DLP rules that prevent financial data exposure.

04

PCI-DSS for payment data

Credit card numbers, CVVs, and payment account data must be protected from reaching AI models. PCI-DSS compliance packs detect and block all standard payment data formats.

05

SOC 2 for service providers

SOC 2 requires demonstrable security controls. AI audit trails, DLP policies, and access controls provide the evidence auditors need to validate your organization's AI governance.

06

General PII protection

Even without a specific regulatory framework, protecting personally identifiable information is a best practice. General PII rules cover Social Security numbers, dates of birth, addresses, and more.

Benefits

Why compliance must extend to AI tools

Regulatory frameworks did not anticipate AI tools but their data protection requirements still apply
A single employee pasting patient data into ChatGPT can trigger a HIPAA violation investigation
Audit trails for AI usage demonstrate the controls regulators expect to see during reviews
Pre-built compliance packs reduce the time from zero to compliant from weeks to minutes
Automated DLP scanning is more reliable than relying on employee training alone
Proactive compliance is dramatically less expensive than responding to violations after the fact

6

One-click compliance packs

31

Total available detection rules

16

Smart detection patterns

FAQ

Frequently asked questions

Which compliance framework should we start with?

Start with the framework that governs your industry — HIPAA for healthcare, PCI-DSS for payments, GDPR for EU data. If you are unsure, start with the General PII pack which covers the most common sensitive data patterns.

Are compliance packs customizable?

Yes. Each compliance pack deploys a set of DLP rules that you can modify. You can adjust severity levels, add exceptions for specific teams, and layer custom rules on top of the pack's defaults.

How do we prove compliance to auditors?

TeamPrompt logs every DLP scan, violation, and user action with timestamps. Export audit data in CSV or JSON format. The audit trail provides the evidence auditors need to validate your AI governance controls.

Can we use multiple compliance packs simultaneously?

Yes. Compliance packs stack. An organization subject to both HIPAA and SOX can deploy both packs, and all rules from both frameworks will be active simultaneously.

How it works

Three steps from install to full AI security coverage.

1

Install

Add the browser extension to Chrome, Edge, or Firefox — or use the built-in AI chat. No proxy or VPN needed.

2

Configure

Enable the compliance packs for your industry, set DLP rules, and add your team's prompts to the shared library.

3

Protected

Every AI interaction is scanned in real time. Sensitive data is blocked before it leaves the browser. Your team has a full audit trail.

Ready to secure your team's AI usage?

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