When assessing AI vendors lacking a SOC 2 report, organizations must adopt a proactive approach to identify and manage potential risks.
In the realm of artificial intelligence (AI), the allure of innovation is tempered by the emergence of new risks. The rapid evolution of AI technology has outpaced the traditional audit processes, leaving some vendors without a System and Organization Controls 2 (SOC 2) report. Even when vendors do possess a SOC 2 report, critical AI-related risks often remain unaddressed within the report's Trust Services Criteria (TSC). The strategies for evaluating AI vendors, whether or not they have a SOC 2 report, are key to providing a comprehensive understanding of AI risks and their mitigation.
When assessing AI vendors lacking a SOC 2 report, organizations must adopt a proactive approach to identify and manage potential risks. Participants will gain the ability to recognize the unique risks associated with the implementation and utilization of AI technologies, enabling them to tailor risk assessments to their organization's specific needs and challenges.
Understanding the essential components of an AI tool that should be encompassed within the scope of a SOC 2 report is crucial for ensuring adequate coverage. By scrutinizing the scope of the report, organizations can determine whether critical AI-related risks are sufficiently addressed and mitigated.
Furthermore, participants will learn to discern the AI risks that fall outside the purview of SOC 2 TSC. Armed with this knowledge, they will be equipped to engage with AI vendors effectively, posing targeted questions to evaluate the vendor's risk mitigation strategies.
Leveraging established frameworks and industry guidance, participants will discover how to navigate the assessment of AI vendors lacking a SOC 2 report or those with incomplete scope coverage in their reports. By applying these frameworks and posing informed inquiries, organizations can bridge the gaps in vendor assessments, ensuring a robust evaluation of AI risks and mitigations.
A comprehensive approach to vendor assessment is essential for safeguarding against emerging risks and ensuring the effective management of AI-related vulnerabilities.