How to Pass a SOC 2 Audit in 2026 - If You Have AI in Production
Most AI startup SOC 2 Type II programs in 2026 are quietly broken.
The standard SOC 2 templates were written for SaaS companies in 2017. They do not cover AI-specific controls. Auditors in 2026 now expect model versioning, inference logging, drift detection, training data lineage, AI vendor risk, model provider enterprise agreements, and AI-specific incident response.
Most AI-native startups have none of this documented.
In this one-hour live advisory, I walk through the 15 AI-specific SOC 2 evidence gaps that show up in audit prep for AI companies in 2026, what auditors actually want to see, and the fastest way to close the gaps before your next Type II window.
What we cover:
- The 15 AI evidence gaps in standard SOC 2 templates
- What "model versioning" and "inference logging" actually look like for an auditor
- The 5 AI vendor controls most templates miss
- Live Q&A on your specific stack
Who it is for: AI startup security leads, GRC managers, founders at AI-native companies that use AI in production and are preparing for or in a SOC 2 Type II window.
You will leave with a downloadable SOC 2 AI Controls Gap Checklist (15 items), plus the option to book a 30-minute follow-up.
Hosted by Meenu Chadha, founder of Cyber Advisory and fractional vCISO.