SOC 2 has been the gold standard for years, but the regulatory environment is evolving. With AI now central to most SaaS products, new guidelines are emerging.

AI Changes The Game

Organizations must now consider:

• Data lineage
• Model transparency
• Ethical AI concerns
• Prompt and training-data governance

Steps to Prepare for AI-Aware Compliance

1. Document all models – source, training data, purpose
2. Separate training and inference environments
3. Restrict access to model configuration
4. Maintain audit logs for all prompts used in production
5. Define policies for dataset retention & deletion

Cloud Architecture Must Adapt

Cloud setups must ensure:

• Data is versioned and traceable
• Model artifacts are stored securely
• Reproducible ML pipelines exist
• Personally identifiable info is protected before model ingestion

Why Early Preparation Matters

Regulation is tightening. Organizations that start now will avoid costly last-minute remediation.