SOC 2 for AI companies

Sell an AI product to an enterprise and you answer two questionnaires wearing one cover sheet. Half of it is the security review every SaaS vendor gets: access control, encryption, change management, vendor management. The other half is new: do you train on customer data, which model providers see it, how long prompts and outputs live in your logs. Stumble on either half and procurement stalls — but only one half comes with a report that settles arguments in advance.

That report is still SOC 2 — and one term worth getting right: what buyers loosely call SOC 2 certification is formally an attestation report. Without it, most enterprise reviews never reach the interesting AI questions at all. This page covers the path to that report — scoping, evidence, and the audit. If what you need is a named leader who owns the whole security function, from review calls to model-provider strategy, that’s the vCISO for AI companies engagement, a different tool for a different gap.

SOC 2 attests your general security controls. It was not written to govern how models are built, monitored, and fed — which is exactly what the AI half of the questionnaire probes. ISO 42001, the certifiable standard for AI management systems, covers that gap: model lifecycle, human oversight, and data governance across training and inference. Very few vendors hold it yet, which makes it the rare compliance line item that functions as a differentiator instead of a checkbox.

The efficient move is planning both from the start, even if you pursue them in sequence. On a mapped GRC platform, a large share of the underlying work — policies, access controls, vendor reviews, monitoring — feeds both frameworks, so the second one costs a fraction of the first. SOC 2 clears procurement’s baseline; ISO 42001 turns your AI-governance paragraph into an audited claim.

Mechanically, the path runs like anyone else’s: weeks of readiness while the platform is stood up and controls are fixed, then a Type II observation window of three to twelve months, then auditor fieldwork. What differs for AI companies is the punch list order — logging retention, tenant isolation evidence, and model-provider governance usually need engineering attention before anything else, because those are the controls your architecture actually strains.

For the founder-level cost and sequencing decisions — Type I versus Type II, what the packages include, where the credits come from — see SOC 2 compliance for startups and the startup program itself. The short version: through an operated program, the audit runs alongside your roadmap instead of on top of it.

Popp is the pattern to copy. An AI copilot for recruiting — personal data flowing through models all day — stacked SOC 2 with ISO 27001 and HIPAA through Agency and started winning enterprise deals on the strength of attested answers. That’s the whole play for AI startups right now: the questions are standard, audited answers are still rare, and the vendor who shows up with evidence gets remembered as the safe choice. The SOC 2 startup guide walks the same ground in depth.