Enterprise buyers demand SOC 2. Areebi maps every Trust Service Criterion to specific AI governance controls, giving your auditors the evidence they need and your customers the assurance they require.
SOC 2 is an auditing framework developed by the American Institute of Certified Public Accountants (AICPA) that evaluates an organization's information security controls against five Trust Service Criteria: Security, Availability, Processing Integrity, Confidentiality, and Privacy.
Unlike certifications like ISO 27001, SOC 2 is an attestation report issued by an independent CPA firm. A SOC 2 Type II report covers a specific observation period (typically 6 to 12 months) and provides evidence that controls are not only designed properly but are operating effectively over time. This makes it the gold standard for demonstrating security posture to enterprise customers.
For AI platforms, SOC 2 is increasingly non-negotiable. Enterprise procurement teams require SOC 2 reports before approving any software that processes sensitive data. As AI adoption accelerates, organizations must demonstrate that their AI governance controls meet the same rigorous standards applied to traditional SaaS platforms. This means proving that every AI interaction is authenticated, authorized, logged, and protected.
Each criterion creates specific obligations for how your AI platform handles data, access, and operations.
The foundation of every SOC 2 audit. Security controls protect AI systems against unauthorized access, both physical and logical. For AI platforms, this means enforcing authentication on every API call, encrypting data at rest and in transit, segmenting network access, and monitoring for intrusion attempts.
Enterprise SSO, RBAC, workspace isolation, TLS 1.2+, AES-256 encryption
Availability controls ensure your AI platform meets committed service levels. Auditors evaluate disaster recovery plans, backup procedures, capacity planning, and incident response. For enterprise AI, availability means users can always access governed AI tools rather than falling back to ungoverned shadow AI.
Docker-based deployment, configuration backups, high-availability architecture
Processing integrity ensures that AI systems process data completely, validly, accurately, and in a timely manner. For AI platforms, this means validating that DLP rules execute correctly on every prompt, policy decisions are applied consistently, and audit logs capture every interaction without gaps.
Inline DLP processing, policy engine with no-bypass architecture, complete audit capture
Confidentiality controls protect information designated as confidential from unauthorized disclosure. In AI contexts, this is critical because prompts often contain trade secrets, financial data, legal documents, and proprietary code. SOC 2 auditors verify that confidential data is identified, classified, and protected throughout the AI pipeline.
Real-time DLP, PII masking, workspace isolation, on-premises deployment option
Privacy criteria govern the collection, use, retention, disclosure, and disposal of personal information. For AI platforms, privacy controls must prevent personal data from being used to train third-party models, ensure data subjects can exercise their rights, and maintain transparency about how AI processes personal information.
PII masking engine, configurable retention, audit exports for DSAR compliance
Specific control-to-feature mapping that your auditor can verify directly.
| SOC 2 Control | Required Evidence | Areebi Feature |
|---|---|---|
| CC6.1 - Logical Access Security | SSO/SAML integration, RBAC configurations, user provisioning logs | Enterprise SSO with SAML/OIDC, granular RBAC per workspace |
| CC6.3 - Role-Based Access | Role definitions, permission matrices, access review logs | Workspace isolation with per-role AI permissions and model access |
| CC7.2 - Security Monitoring | Monitoring dashboards, alert configurations, incident logs | Real-time risk scoring, anomaly detection, configurable alert rules |
| CC8.1 - Change Management | Change request records, approval workflows, deployment logs | Policy versioning, audit trail for all configuration changes |
| C1.1 - Confidential Data Protection | DLP policies, data classification rules, masking configurations | Real-time DLP engine with 100+ data type detectors, automatic masking |
| C1.2 - Data Disposal | Retention policies, disposal procedures, deletion logs | Configurable data retention with automated disposal and audit records |
Complete this checklist to ensure your AI platform is ready for a SOC 2 Type II audit.
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Answers to the most common questions about achieving SOC 2 compliance for AI platforms.
SOC 2 Type I evaluates the design of controls at a specific point in time, while Type II evaluates both design and operating effectiveness over a 6-to-12-month observation period. Type II is what most enterprise customers require because it proves your controls work consistently over time, not just that they exist on paper.
If your AI platform processes customer data, it falls within your SOC 2 scope. Enterprise buyers increasingly require SOC 2 reports from AI vendors as a procurement prerequisite. Using Areebi as your AI governance layer means AI controls are audit-ready from day one, with built-in evidence collection for every Trust Service Criterion.
All five criteria can apply, but Security (CC6/CC7) and Confidentiality (C1) are mandatory for most AI audits. Availability (A1) matters for production AI services. Processing Integrity (PI1) applies when AI outputs drive business decisions. Privacy (P1-P8) is required when AI processes personal information. Your auditor will help determine the right scope.
Type I can be achieved in 3 to 6 months. Type II requires an additional 6 to 12 months of observation. Areebi accelerates this timeline because security controls, audit logging, access management, and DLP are built in - you do not need to build governance infrastructure from scratch.
Auditors need access control logs (user provisioning, RBAC, MFA), monitoring evidence (audit trails, alerts, incident records), data protection proof (DLP policies, encryption configs), change management records (version control, approvals), and vendor assessments. Areebi generates all of this evidence automatically and exports it in auditor-ready formats.
Areebi provides built-in controls that map directly to SOC 2 Trust Service Criteria. Explore our audit logging, DLP engine, and platform capabilities. See pricing or visit our Trust Center.