DPAI-05

Is AI processing limited to fully licensed commercial enterprise AI services?

Explanation

This question is asking whether your organization restricts its artificial intelligence (AI) processing to only using fully licensed commercial enterprise AI services, as opposed to using open-source AI models, custom-built AI solutions, or consumer-grade AI services. Why this is asked in security assessments: 1. Licensed commercial enterprise AI services typically have robust security controls, data protection measures, and compliance certifications. 2. These services often provide contractual protections regarding data usage, retention, and security. 3. Enterprise AI services usually undergo regular security audits and have dedicated security teams. 4. Using non-enterprise or unlicensed AI services may introduce risks related to data privacy, intellectual property protection, and security vulnerabilities. 5. Organizations need to understand where their data is being processed and what protections are in place. The question aims to determine if you're using AI services with appropriate enterprise-grade security and compliance controls versus potentially riskier alternatives like open-source models hosted on public infrastructure or consumer-grade AI tools that may lack enterprise security features. When answering this question, you should: 1. Clearly state whether you exclusively use fully licensed commercial enterprise AI services. 2. If you do, specify which ones (e.g., Microsoft Azure AI, AWS AI services, Google Cloud AI). 3. If you use a mix, explain what controls you have in place for non-enterprise AI services. 4. If you use custom AI models, explain your security controls and where they're hosted.

Example Responses

Example Response 1

Yes, our organization exclusively uses fully licensed commercial enterprise AI services Specifically, we utilize Microsoft Azure Cognitive Services and Azure OpenAI Service for all our AI processing needs These services are covered under our Enterprise Agreement with Microsoft, which includes data processing terms, SLAs, and compliance commitments We do not use any open-source AI models, consumer AI tools, or custom-built AI solutions in our production environment All AI processing is conducted within these enterprise services, which maintain SOC 2, ISO 27001, and HIPAA compliance certifications.

Example Response 2

Our AI processing is primarily limited to fully licensed commercial enterprise AI services, including AWS SageMaker for our machine learning workflows and IBM Watson for natural language processing However, we do maintain a separate research environment where our data science team experiments with open-source models like Hugging Face transformers This research environment is isolated from production systems, does not process customer data, and is subject to our internal security controls including access restrictions, data anonymization protocols, and regular security reviews Before any research models are moved to production, they are reimplemented using our enterprise AWS SageMaker infrastructure.

Example Response 3

No, our AI processing is not limited to fully licensed commercial enterprise AI services We currently use a combination of solutions including: (1) Custom-built machine learning models developed in-house and deployed on our own infrastructure, (2) Open-source large language models that we've fine-tuned for our specific use cases, and (3) Some commercial services like Google Cloud AI for specific functions To mitigate risks, we've implemented several controls: our custom models only process data within our secure network perimeter, we conduct regular security assessments of our AI infrastructure, and we've established a governance framework for AI usage We recognize this represents a potential compliance gap and are currently evaluating enterprise AI offerings from major cloud providers to standardize our approach.

Context

Tab: Privacy
Category: Privacy and AI