61TRUST SERVICES CRITERIA

SOC 2 for AI Companies

SOC 2 for AI
Companies

SOC 2 is the independent attestation AI companies use to prove their data, model, and pipeline security to enterprise buyers. For any AI product handling customer data, it is the fastest way to answer the question every enterprise security team asks — what happens to our data inside your models?

TCSA has delivered 300+ SOC 2 engagements to date. Pricing is scoped per engagement (see the SOC 2 cost guide) and all-in, including the independent CPA attestation. Most teams are audit-ready in 6–8 weeks.

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300+SOC 2 engagements

100+SOC 1 reports

6–8Weeks to audit-ready

India, USA, UK, Australia & UAECountries served

AICPA Attestation Framework · Licensed CPA Firm Network · ISO 42001 AI Governance

Key Takeaways

AI companies need SOC 2 because enterprise buyers gate AI procurement on independent proof that customer data is protected inside your models and pipeline.
Security (the Common Criteria) is mandatory, and for AI we almost always add Confidentiality and Availability, with Processing Integrity where deterministic correctness matters.
The decisive question in every enterprise AI review is whether customer data trains your models — SOC 2 evidences the data segregation, retention limits, and tenant isolation that answer it.
SOC 2 and ISO 42001 are complementary: SOC 2 attests your security controls, ISO 42001 certifies AI governance. The SOC 2 control work is the foundation an AI Management System builds on.
Timeline is 6–8 weeks to audit-ready. The Type I report follows. Type II takes 14–16 weeks end to end, including the 12-week minimum observation window. Pricing is scoped per engagement and all-in, including the independent CPA attestation — see the SOC 2 cost guide.

The Drivers

Why AI Companies Need SOC 2

AI products move fastest when buyers trust them with data. Four forces push AI companies toward SOC 2 — and each one is satisfied by the same report.

Enterprise AI procurement

When an enterprise buys an AI product, its security and legal teams ask one question first: what happens to our data inside your models? A SOC 2 Type II report answers it with independent evidence, turning a months-long AI security review into a document hand-off.

Training-data & customer-data security

AI companies ingest sensitive customer data for inference, fine-tuning, and evaluation. SOC 2 evidences the access controls, encryption, retention, and segregation that prove training and customer data are not leaking between tenants or into a base model.

Model, pipeline & supply-chain security

Buyers increasingly probe the MLOps pipeline — model weights, vector stores, third-party model APIs, and prompt-handling. SOC 2 covers the change management, vendor management, and logging that secure the path from data to deployed model.

A bridge to AI governance (ISO 42001)

SOC 2 proves your security control environment. ISO 42001 proves you govern AI responsibly. Buyers increasingly want both. The control work for SOC 2 is the foundation an AI Management System builds on, so doing them together avoids duplicated effort.

SOC 2 reports are issued under the AICPA Trust Services Criteria. For AI governance specifically, SOC 2 pairs naturally with ISO/IEC 42001, the international AI Management System standard.

Trust Services Criteria

Which Criteria Matter Most for AI Companies

Security is mandatory. The rest are scoped to your data and model architecture. Here is how an auditor weighs each criterion for an AI company.

Trust Services Criterion	Priority for AI	Why it matters
Security (Common Criteria)	Mandatory	The baseline of every SOC 2 report. For AI companies this is where access to training data, model weights, API keys, and inference logs is controlled, encrypted, and monitored — the controls an enterprise security team probes first.
Confidentiality	Strongly recommended	Customer prompts, documents, and fine-tuning datasets are confidential by contract. This criterion proves classification, encryption, retention limits, and controlled disclosure so customer data does not bleed into a shared model.
Availability	Strongly recommended	AI products carry inference-uptime and latency SLAs. Availability evidences monitoring, capacity planning, incident response, and disaster recovery for GPU and pipeline infrastructure.
Processing Integrity	Situational	Relevant where deterministic correctness matters — scoring, classification, or data-transformation pipelines. It tests that processing is complete, valid, accurate, and authorised, and that model outputs are produced as designed.
Privacy	Situational	Add when you process personal data at scale and must evidence notice, choice, and consent — and where it intersects with local data-protection law and your customers’ privacy commitments.

Timeline & Cost

Type I vs Type II for AI Companies

All-in fee bands for TCSA-led SOC 2 engagements, including the independent CPA attestation.

Attestation	Timeline	Best for	All-in Fee	CPA Attestation Fee
SOC 2 Type I	6–8 weeks to audit-ready, then the Type I report	A point-in-time report to unblock an enterprise AI security review quickly	Scoped per engagement, all-in	Included in the all-in fee
SOC 2 Type II	14–16 weeks end to end, including the 12-week minimum observation window	The report most enterprise AI buyers ultimately require — controls tested over time	Scoped per engagement, all-in	Included in the all-in fee

Fee bands are indicative and confirmed after a scoping call. The final figure varies with Trust Services Criteria, system count, and report type.

What You Receive

AI Company SOC 2 Deliverables

SOC 2 Type I or Type II attestation report, issued by a licensed CPA firm
System description scoped to your training, inference, and MLOps architecture
Trust Services Criteria selection mapped to enterprise AI-procurement requirements
Policies for data handling, model change management, access control, and incident response
Control matrix mapping each criterion to evidence and owners across the ML pipeline
Optional ISO 42001 readiness mapping so SOC 2 controls feed your AI Management System

From the Audit Floor

Common AI SOC 2 Mistakes

The patterns we see derail AI-company engagements — and how we keep your report clean the first time.

Excluding the model pipeline from scope

AI companies often scope SOC 2 around a web app and leave out the training pipeline, vector store, and model-serving layer — exactly where enterprise buyers focus. We scope the system description to the components that touch customer and training data, so the report answers the AI security questionnaire directly.

No clear answer on training-data usage

The first question in every enterprise AI review is whether customer data trains your models. If your controls cannot evidence data segregation, retention limits, and tenant isolation, the deal stalls. We make data-handling controls explicit and testable before the auditor — and before the buyer — asks.

Confusing SOC 2 with ISO 42001

SOC 2 attests your security control environment, while ISO 42001 certifies how you govern AI risk, bias, and lifecycle. They are complementary, not interchangeable. We map where they overlap so you can sequence both efficiently rather than rebuilding controls twice.

Unmanaged third-party model and API dependencies

Most AI products call third-party model APIs and managed vector databases. Failing to document these as subservice organisations and define complementary user-entity controls leaves a gap an auditor will flag. We document the shared-responsibility boundary across your AI supply chain.

Starting Type II observation before MLOps controls operate

The Type II window tests controls over time. Beginning observation before model-change approvals, access reviews, and pipeline logging run consistently guarantees exceptions. We confirm every control operates before the clock starts.

“Every enterprise AI review opens with the same question — does our data train your models? We scope the SOC 2 system description around the data and model pipeline and make the segregation, retention, and access controls testable, so the report answers that question before the buyer even asks it. Pairing it with ISO 42001 is what closes the most security-conscious deals.”

Parth Chauhan·Lead Auditor, TCSA — ISO 27001 / 27701 / 42001 Lead Auditor, CEH (BE, BITS Pilani)

“SOC 2 Services were excellent.” — Anand Singh, verified Google review

Proof

In their words.

Quotes verbatim from G2. Company names added where the client confirmed them.

Verify on G2

They expertly mapped the overlapping controls between SOC 2 and ISO 27001, which saved us from duplicating work.

Jasreet Kaur B.Silicon Physical Design Engineer · Small-BusinessSOC 2 + ISO 27001 · August 2026

Instead of simply providing generic templates or checklists, their team took the time to understand our environment and requirements.

Anand .Market Risk Analyst · Mid-MarketCompliance readiness · September 2026

The team’s willingness to work with us and ease of communication.

sam v.CEO · Small-BusinessSOC 2 Type I + ISO 27001 · August 2026

They delivered the project with speed, accuracy, and cost-effectiveness.

Maneet P.Mid-MarketSOC 2 · August 2026

My only regret is that we didn’t engage them sooner in our compliance journey, which would have saved us even more time.

Mahesh Raju C. · XonarSmall-BusinessSOC 2 · GRC · August 2026

They were always responsive and willing to go the extra mile whenever we had questions or needed guidance.

Chandan J. · DsiderSmall-BusinessSOC 2 Type I · August 2026

Managing the auditor relationship on our behalf was especially valuable — it took a lot of pressure off our internal team.

Achyut B.Senior Software Engineer · Small-BusinessSOC 2 + ISO 27001 · September 2026

Their focus on ensuring that we were genuinely audit-ready rather than simply completing documentation.

Ravi V.Founder & CEO · Mid-MarketSOC 2 Type II · August 2026

The guidance was not generic or simply based on a standard checklist — they suggested practical approaches that made sense for our business.

Verified UserInternational Trade and Development · Small-BusinessSOC 2 + ISO 27001 · September 2026

What I like best is the hands-on support and clear guidance throughout the SOC 1 and SOC 2 process.

Sai Sudha S. · ExcersSmall-BusinessSOC 1 + SOC 2 · September 2026

SOC 2 for AI Companies — Frequently Asked Questions

Straight answers from the team that has delivered 300+ SOC 2 engagements to date.

Why do AI companies need SOC 2?

Because enterprise buyers gate AI procurement on it. When a large organisation adopts an AI product, its security and legal teams need independent assurance that customer data is protected inside your models and pipeline. A SOC 2 Type II report provides that assurance, replacing a lengthy AI security review with a document their team can rely on. For most AI startups selling to enterprises, SOC 2 is the single fastest way to unblock the security stage of a deal.

Does customer data used for training affect a SOC 2 audit?

Yes — it is the central question. SOC 2 tests the controls around how training, fine-tuning, and inference data are accessed, encrypted, segregated, and retained. The report should make clear whether customer data trains shared models, and evidence the tenant isolation and retention limits that keep one customer’s data out of another’s outputs. We design these data-handling controls to be explicit and testable, because it is exactly what enterprise reviewers scrutinise.

What is the difference between SOC 2 and ISO 42001 for an AI company?

SOC 2 is an attestation of your security control environment — how you protect data, systems, and availability. ISO 42001 is a certification of your AI Management System — how you govern AI risk, bias, transparency, and lifecycle. They answer different buyer questions and are increasingly requested together. The good news is that much of the SOC 2 control work forms the foundation an ISO 42001 system builds on, so we map the overlap and help you sequence both without duplicating effort.

Which Trust Services Criteria should an AI company include?

Security (the Common Criteria) is mandatory. For AI companies we almost always add Confidentiality, because customer prompts and datasets are confidential, and Availability, because inference platforms carry uptime SLAs. Processing Integrity becomes relevant where deterministic correctness matters — scoring or data-transformation pipelines — and Privacy where you process personal data at scale. We scope criteria to what your enterprise contracts actually demand rather than over-scoping.

How long does SOC 2 take for an AI company, and what does it cost?

Plan on 6–8 weeks to audit-ready. The Type I report follows. Type II takes 14–16 weeks end to end, including the 12-week minimum observation window. TCSA’s fee is all-in, including the independent CPA attestation, and is confirmed after a scoping call — see the SOC 2 cost guide for how fees are structured. It covers scoping, gap assessment, control design across your ML pipeline, policy drafting, evidence preparation, audit coordination, and the CPA firm’s examination.

Can an early-stage AI startup on AWS, GCP, or Azure get SOC 2?

Yes, and running on a major cloud usually makes it easier because those providers already hold their own SOC reports. You inherit their infrastructure controls and focus on application- and pipeline-level controls — data access, model change management, logging, encryption. We document the complementary user-entity controls and carve out the subservice organisations, including any third-party model APIs and vector databases, so the shared-responsibility boundary is explicit and the auditor finds no gaps.

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AICPA SOC 2 Attestation Framework · ISO 42001 AI Governance

SOC 2 for AI
Companies

Key Takeaways