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FRAMEWORK COMPARISON

Which Compliance Framework
Do You Need?

Compare SOC 2 Type II, ISO 27001/42001, GDPR, HIPAA, EU AI Act, and NIST AI RMF

Compare AI compliance frameworks side-by-side by timeline, cost, geography, certification requirements, and AI-specific controls. Use our decision tree to find the best fit for your SaaS, healthcare, or AI company.

6
Frameworks Compared
3
Geographies Covered
2-12
Months Timeline
$5k-$100k
Cost Range

Framework Overview

Click to expand details for each framework

SOC 2 Type II

Trust Service Criteria for service organizations

Geography:Global (US-originated)
Timeline:3-6 months
Cost:$15k-$50k
Best for:

SaaS companies, cloud service providers

ISO 27001 / 42001

Information security & AI management systems

Geography:Global (ISO standard)
Timeline:6-12 months
Cost:$20k-$100k
Best for:

Enterprise, international operations

GDPR

EU data privacy regulation

Geography:EU/EEA (extraterritorial)
Timeline:2-4 months
Cost:$10k-$30k
Best for:

Companies processing EU citizen data

HIPAA

US healthcare data protection

Geography:United States
Timeline:3-6 months
Cost:$15k-$40k
Best for:

Healthcare providers, health tech

EU AI Act

EU regulation for high-risk AI systems

Geography:EU/EEA (extraterritorial)
Timeline:6-12 months
Cost:$30k-$100k+
Best for:

High-risk AI systems in EU

NIST AI RMF

AI risk management framework

Geography:United States (voluntary)
Timeline:2-4 months
Cost:$5k-$20k
Best for:

US federal contractors, AI developers

Side-by-Side Comparison

Key differences at a glance

AspectSOC 2ISO 27001GDPRHIPAAEU AI ActNIST
Primary FocusSecurity controlsISMS & AI governanceData privacyHealthcare dataHigh-risk AIAI risk management
Certification RequiredYes (auditor)Yes (certification body)No (compliance)No (compliance)Yes (conformity)No (voluntary)
Annual AuditYesYes (surveillance)NoNoYesNo
AI-SpecificNoYes (42001)Partial (DPIA)NoYesYes
PenaltiesContract breachCertification lossUp to €20M or 4% revenueUp to $1.5M per violationUp to €30M or 6% revenueNone (voluntary)

Decision Tree

Answer these questions to find the right framework

1

Do you process EU citizen data?

Yes

GDPR is mandatory

No

Continue

2

Do you handle US healthcare data (PHI)?

Yes

HIPAA is mandatory

No

Continue

3

Are you selling to enterprise customers?

Yes

SOC 2 Type II recommended

No

Continue

4

Do you operate internationally?

Yes

ISO 27001 recommended

No

Continue

5

Is your AI system high-risk in the EU?

Yes

EU AI Act mandatory

No

NIST AI RMF recommended

Frequently Asked Questions

Common questions about AI compliance frameworks

Which compliance framework is best for a SaaS company?

SOC 2 Type II is the most common starting point for SaaS companies because enterprise buyers frequently require it. If you process EU data, add GDPR. If you build AI features, consider NIST AI RMF or ISO 42001 alongside SOC 2.

Do I need both SOC 2 and ISO 27001?

Not always. SOC 2 is preferred by North American enterprises, while ISO 27001 is more common internationally. If you sell globally, pursuing both gives you broader market access. ISO 27001 also includes a certifiable ISMS that SOC 2 lacks.

Is the EU AI Act mandatory for US companies?

Yes, if your AI system is placed on the EU market or its outputs are used in the EU, the EU AI Act applies extraterritorially. High-risk AI systems require conformity assessment, technical documentation, and human oversight measures.

How much does SOC 2 compliance cost?

SOC 2 Type II typically costs $15,000–$50,000 including auditor fees, with timelines of 3–6 months. Ongoing surveillance audits add recurring annual costs. Automation tools like HAIEC reduce evidence-collection effort by up to 70%.

What is the difference between ISO 27001 and ISO 42001?

ISO 27001 covers information security management systems (ISMS). ISO 42001 extends this to AI management systems, adding AI-specific controls for risk, transparency, and governance. Organizations often pursue them together.

Is NIST AI RMF legally required?

No, NIST AI RMF is voluntary. However, US federal contractors and agencies are expected to align with it, and it is increasingly referenced in procurement requirements. It is a practical starting point for AI risk management before pursuing stricter frameworks.

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