AI Tools Enter SOC Audits, But Human Judgment Remains Central

AI Takes On Routine SOC Examination Tasks

Artificial intelligence and machine learning are beginning to reshape how service auditors conduct SOC 1 and SOC 2 examinations, according to an upcoming professional development session hosted by Forvis Mazars. The shift allows auditors to automate repetitive evidence-gathering tasks while concentrating their expertise on areas that demand professional judgment and skepticism.

Automated tools can now handle data validation, population testing, and API-driven evidence integration—capabilities that reduce the administrative burden on service organizations while potentially improving the reliability of audit conclusions. Rather than manually reviewing small samples, AI systems can analyze larger data sets, a change that could strengthen the statistical foundation of assurance opinions.

Where Automation Fits in the SOC Lifecycle

The session will examine specific use cases across the SOC examination lifecycle, including three-way matching, configuration baselining, and log analysis. These are areas where pattern recognition and volume processing offer clear advantages over manual methods.

Yet the session emphasizes that human judgment remains non-negotiable in critical areas. Auditors must maintain professional skepticism when reviewing AI-generated results, verify that Information Produced by the Entity (IPE) is complete and accurate, and ensure every conclusion traces back to its original source. Model validation and control frameworks become essential when automation enters the audit process.

IPE Integrity in an AI-Driven Environment

One focus area is how completeness and accuracy requirements for IPE apply when AI tools are involved. This spans IT applications, end-user computing environments, service organizations, and manual processes—all potential sources of data that feed automated audit procedures. Without rigorous validation of these inputs, automation can amplify rather than reduce audit risk.

Why it matters

SOC examinations underpin trust in thousands of service organizations, from cloud providers to payroll processors. As AI tools become more capable, the audit profession faces a fundamental question: how to capture efficiency gains without compromising the skepticism and judgment that give assurance opinions their value. Organizations preparing for SOC audits need to understand both the opportunities and the new control requirements that come with automated procedures.

Target Audience and Learning Objectives

The session is designed for CIOs, CISOs, IT risk and compliance leaders, internal audit leaders, controllers, and service organization stakeholders responsible for SOC readiness. Participants will learn to identify where AI adds value in SOC procedures, describe controls that preserve audit integrity when automation is used, and recognize how IPE standards apply to AI-driven processes.

The program offers one CPE credit (pending approval) in the Information Technology field of study and is classified as a basic-level course with no prerequisites. It will be delivered as a group internet-based session, with attendance verification required for CPE credit.

Details of the session were published by Forvis Mazars, which is registered with the National Association of State Boards of Accountancy as a CPE sponsor.