Does your solution leverage machine learning (ML) or do you plan to do so in the next 12 months?

This question is asking whether your product or service uses machine learning (ML) technology currently or plans to implement it within the next year. It's a qualifying question that determines whether additional ML-specific security questions will be asked in the assessment. Why it's being asked: 1. Machine learning systems introduce unique security and privacy concerns that traditional systems don't have 2. ML models can be vulnerable to specific attacks like data poisoning, model inversion, or adversarial examples 3. ML systems often process large amounts of data, which may include sensitive information 4. The training data, model architecture, and deployment methods all have security implications This question serves as a trigger - if you answer 'Yes', the assessment will include additional questions about your ML practices, data handling, model security, and related concerns. If you answer 'No', you'll skip those sections. How to best answer it: Be straightforward and honest about your current and planned ML usage. If you're using any form of ML (including pre-trained models from third parties), answer 'Yes'. If you have concrete plans to implement ML within the next 12 months, also answer 'Yes'. If ML is only a vague possibility or beyond your 12-month roadmap, answer 'No'. Make sure to consider all components of your solution - even if your core product doesn't use ML, auxiliary features like recommendation engines, fraud detection, or customer support chatbots might incorporate ML technology.