SOC 2 for AI/Data
Pipelines, model change, data lineage. We've tailored our SOC 2 framework to address the unique data risks, auditor expectations, and security controls relevant to AI/Data organizations.
Establish Your Audit Baseline
Get your readiness score, identify critical gaps, and unblock enterprise deal velocity in under 2 minutes.
Why AI/Data needs SOC 2:
- Accelerate enterprise sales cycles
- Satisfy vendor risk assessments
- Build trust with investors and partners
- Verify security posture independently
Your AI/Data Compliance Roadmap
Select a guide to dive deep into the specific requirements for your vertical.
Readiness Checklist
A line-by-line breakdown of the controls, policies, and evidence you need to pass a SOC 2 audit as a AI/Data company.
Cost & Timeline Tools
Calculate your expected audit fees, timeline, and total compliance budget for AI/Data.
SOC 2 for AI/Data FAQs
What is the first step in SOC 2 Compliance for AI/Data?
The first step is conducting a gap analysis to understand your current security posture relative to SOC 2 requirements. This identifies what controls you already have and what needs to be implemented.
How long does SOC 2 Compliance for AI/Data typically take?
For most mid-sized companies, the process takes 3-6 months. This includes 2-3 months for readiness prep and control implementation, followed by the audit period and report generation.
What are the core requirements for SOC 2 Compliance for AI/Data?
Core requirements include established security policies, evidence of operational controls (like access reviews and vulnerability scans), and documented risk management processes aligned with SOC 2 standards.
Can we automate SOC 2 Compliance for AI/Data?
Yes, compliance automation platforms can reduce manual effort by up to 80% through continuous evidence collection and automated control monitoring. However, you still need to define and own the underlying security processes.
Explore other industries
Compare SOC 2 requirements across different verticals.