Services SOC 2 Compliance for AI Companies
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SOC 2 Compliance for AI Companies

Enterprise AI buyers are now asking questions traditional SOC 2 audits were never designed to answer: how is training data governed? What controls prevent prompt injection? Is model behaviour predictable? Are outputs logged in a way that supports audit?

RedSecLabs delivers SOC 2 Type I and Type II audits engineered for AI and machine learning companies, generative AI platforms, ML SaaS, AI-augmented enterprise tools, agentic systems. We extend the standard Trust Service Criteria with AI-specific controls drawn from ISO/IEC 42001 (AI management systems), the NIST AI Risk Management Framework, and the EU AI Act.

Our AI SOC 2 work produces evidence that satisfies enterprise procurement, regulator inquiries, and the increasingly granular vendor security reviews now run by every serious B2B AI buyer.

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Free Security Quote

Just a few questions to scope your project. We respond the same business day.

✓ UK-based CREST member · ✓ QSA-aligned methodology · ✓ Same-day scoping response · ✓ Executive + technical reports · ✓ Retest included
ISO 42001
AI controls mapped
NIST AI RMF
Aligned methodology
EU AI Act
Compliance pathway
6-12 months
Type II observation

What is SOC 2 for AI?

SOC 2 is the AICPA attestation framework for service organisation controls. For AI companies, a standard SOC 2 covers the security and availability of your platform, but enterprise buyers now expect additional evidence covering AI-specific risks: training data provenance and governance, model behaviour and bias controls, prompt-injection defence, output filtering, and human oversight.

RedSecLabs delivers SOC 2 audits that extend the Trust Service Criteria with AI-specific control objectives, drawing on ISO/IEC 42001 (AI management systems, 2023), the NIST AI Risk Management Framework, and the emerging EU AI Act obligations for high-risk AI systems.

What AI-focused SOC 2 gives you:

Enterprise procurement gate unlocked for AI products

Independent attestation of training data governance

Evidence of prompt injection and output filter controls

EU AI Act readiness for high-risk system providers

ISO 42001 stepping stone for organisations targeting that certification

Investor and acquirer-grade AI governance evidence

Generic SaaS SOC 2 audits no longer satisfy AI-aware enterprise buyers, the questions have moved on, and so has the audit work needed to answer them credibly.

Why AI buyers want more than standard SOC 2

Enterprise AI adoption is now governed by AI risk management policies inside every major bank, healthcare system, and government. Those policies require vendors to demonstrate not just generic security controls but AI-specific safeguards: governed training data, controlled model behaviour, traceable outputs, and human oversight where decisions affect people.

A standard SOC 2 report says nothing about any of this. AI buyers either reject the report as insufficient or attach a 50-question custom AI questionnaire that takes months to complete. An AI-extended SOC 2 from RedSecLabs handles both objections in one engagement.

Without AI-specific SOC 2 evidence, AI companies face:

Endless bespoke AI vendor questionnaires from every buyer

Failed procurement at organisations with mature AI risk policy

EU AI Act gaps if classified as high-risk AI provider

Difficulty fundraising at AI-specialist investor due diligence

M&A discount from undocumented AI governance

Reputational risk from AI-related incidents with no documented controls

AI procurement has matured fast. Buyers expect the same depth of trust evidence they would demand from any other critical-path SaaS, plus AI-specific reassurance on top.

Who needs AI SOC 2?

RedSecLabs delivers AI SOC 2 audits across the full breadth of AI and ML productisation, including:

Generative AI and LLM platforms

ML SaaS for enterprise analytics

Agentic and autonomous AI systems

Computer vision and image AI

Speech and audio AI

NLP and translation services

AI infrastructure and MLOps platforms

AI-augmented search and retrieval

If your customers include banks, healthcare providers, governments, or any other AI-cautious sector, an AI-extended SOC 2 is the most efficient way to satisfy their procurement teams.

Our AI SOC 2 Audit Methodology

An eight-stage methodology combining standard SOC 2 Trust Service Criteria with AI-specific control objectives drawn from ISO 42001, NIST AI RMF, and EU AI Act practice.

01

AI Risk Profile Assessment

We map your AI system architecture, training data sources, model lifecycle, and use cases to identify the AI-specific risks that need control coverage.

02

Extended Trust Criteria Scoping

Standard Security and Availability criteria selected, with Confidentiality, Privacy, and Processing Integrity added based on AI system type and customer base.

03

AI Governance Control Design

Controls designed around training data provenance, model versioning, evaluation gates, prompt injection defence, output filtering, and human oversight.

04

Readiness Assessment

Gap analysis against extended SOC 2 criteria plus ISO 42001 / NIST AI RMF controls, producing a prioritised remediation roadmap.

05

Control Implementation Support

Hands-on guidance on the most AI-specific areas: training data audit trails, model registry governance, prompt and output logging, red-team integration.

06

Type I Audit

Point-in-time attestation that controls are designed appropriately, useful interim credential for AI companies in rapid sales cycles.

07

Type II Observation

Operating effectiveness evidence collected across 6-12 months, the credible baseline for enterprise AI procurement teams.

08

Type II Report & EU AI Act Alignment

Final SOC 2 Type II report plus optional EU AI Act conformance mapping for clients classified as high-risk AI providers.

Most AI clients reach Type I in 3-4 months and Type II in 9-12 months. We can deliver early customer evidence packages from the readiness assessment outputs in parallel.

What you receive

Every AI SOC 2 engagement with RedSecLabs includes:

  • AI risk profile mapped to NIST AI RMF and ISO 42001
  • Extended Trust Service Criteria scoping document
  • AI-specific control library (training data, model lifecycle, output)
  • Readiness assessment with prioritised remediation roadmap
  • SOC 2 Type I attestation report (where scoped)
  • SOC 2 Type II attestation report covering observation period
  • EU AI Act high-risk system conformance mapping (optional)
  • Enterprise procurement evidence pack with AI-specific FAQs

Industries We Serve

We deliver this service across these industries:

Generative AI & LLM
Agentic Systems
ML for Analytics
Computer Vision
Speech AI
NLP & Translation
MLOps Platforms
AI Search & RAG

Why RedSecLabs for AI SOC 2

AI SOC 2 is not a templated audit you can buy off a shelf. Our auditors have hands-on background with LLM platforms, MLOps pipelines, and AI governance, they know which control patterns actually survive contact with real AI engineering, and which exist only in policy documents. The result is reports enterprise AI buyers respect, not reports they discount.

AI-specialist auditors with ML engineering background
SOC 2 + ISO 42001 + NIST AI RMF mapped together
Prompt injection and red-team control testing
Buyer-ready evidence for enterprise AI procurement
EU AI Act high-risk system conformance pathway
ISO 42001 certification stepping stone

Get AI-Ready SOC 2 Audited

Book a free 30-minute scoping call. AI risk profile assessment, fixed-fee proposal within a week.

Book a Scoping Call Contact Us

Where to next

Related services and industry packages worth exploring.

SOC 2 hub

Secure Code Review

SaaS & Technology package
Related reading

From the RedSecLabs research blog

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SOC 2 Audit Cost: 2025 Breakdown

What SOC 2 actually costs by firm size and scope.

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From the blog

SOC Type 1 vs SOC Type 2

Type 1 vs Type 2 explained.

Read on the RedSecLabs blog

Frequently Asked Questions

Standard SOC 2 covers generic SaaS security controls. AI buyers want additional evidence on training data governance, model behaviour controls, prompt injection defence, and human oversight, concerns the original SOC 2 framework was not designed to address. An AI-extended SOC 2 covers both layers in one engagement.

Training data provenance and consent, training data security and access control, model registry and versioning, evaluation and benchmark gating, prompt input sanitisation, output content filtering, hallucination and safety testing, red-team integration, human-in-the-loop oversight, and incident logging for AI-specific events.

Yes. For organisations classified as high-risk AI providers under the EU AI Act, we map our SOC 2 audit evidence to the Act's technical documentation, data governance, transparency, and human oversight obligations. Many clients use SOC 2 Type II as the operational backbone of their EU AI Act conformance assessment.

ISO/IEC 42001 (published 2023) is the international standard for AI Management Systems, broader and more governance-focused than SOC 2. Many clients use SOC 2 Type II as a stepping stone toward ISO 42001 certification, since most SOC 2 evidence is reusable. We map them together from day one.

Standard SOC 2 Type II observation periods (6 or 12 months) apply. For AI companies on rapid release cycles, we typically recommend 6 months for the first audit and 12 months for subsequent re-audits, balancing time-to-evidence against buyer credibility.

Type I audits typically £35,000-£60,000; Type II £55,000-£110,000, depending on Trust Service Criteria scope, AI system complexity, and observation period. The premium over standard SOC 2 reflects the additional AI-specific control work. Fixed-fee quotes provided after scoping.
Before you decide
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A 30-minute call covers realistic effort, timeline, and a fixed-scope quote. CREST-aligned methodology, UK-based testers.
What you receive

Every engagement includes

  • ✓ Scoping call. A 30-minute call to define scope, timeline, and authorisation boundaries.
  • ✓ Test plan. Written test plan covering targets, methodology, and rules of engagement.
  • ✓ Technical report. Detailed findings with reproduction steps, evidence, and remediation guidance.
  • ✓ Executive summary. Board-ready summary with risk ratings and business impact.
  • ✓ Audit-ready evidence. Findings letter formatted for auditors, customers, and supervisory authorities.
  • ✓ Retest letter. Free retest of remediated findings within agreed window. Confirmation letter included.
  • ✓ Remediation call. A call with our lead tester to walk through findings and remediation strategy.
How we deliver

Our process, end to end

  1. 1
    Scoping call & fixed-scope quote
    A 30-minute call. We define scope, targets, timeline. You get a fixed-scope quote within one working day.
  2. 2
    Test plan & authorisation
    Written test plan covering methodology, targets, and rules of engagement.
  3. 3
    CREST-aligned execution
    Senior tester runs the engagement. Critical findings flagged immediately during testing.
  4. 4
    Technical + executive report
    Detailed technical findings with reproduction steps. Board-ready executive summary.
  5. 5
    Remediation call & retest
    Walkthrough with our lead tester. Retest of remediated findings within the agreed window.
Engagement scope

What shapes the quote

Small scope
Focused scope, smaller surface. 5-7 working days.
Medium scope
Multi-role, several integrations. 8-12 working days.
Enterprise scope
Complex environment, compliance evidence. 12-25 working days.
Fixed-scope quote within 1 working day
No surprise invoices. We commit to a number before you commit to us.
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