Mine CEO Warns Agentic AI Threatens Enterprise Privacy Rights
Kobi Nissan warns that agentic AI creates a privacy crisis by transforming personal data into persistent derived artifacts that resist traditional erasure methods.
CEO of Mine Kobi Nissan warns that the rise of agentic AI has created a new crisis for enterprise privacy and the legal right to erasure. He argues that traditional data governance, which focuses on deleting stored records from systems like CRMs, is insufficient for modern AI environments. Agentic AI transforms personal data into summaries, risk scores, embeddings, and classifications that persist across multiple systems, making it difficult for companies to verify if a user's data has been truly deleted when these derived artifacts remain.
Nissan asserts that privacy architecture must evolve to track data lineage beyond simple copies. He suggests that companies must focus on what data became and ensure that AI-generated chains can be unwound to comply with privacy laws.
Regulatory bodies are already beginning to address these challenges. The UK Information Commissioner’s Office states that individual rights apply across an AI system’s lifecycle, including training data and model outputs. Similarly, France’s CNIL has addressed scenarios where rights at the model level may necessitate complete retraining. These efforts follow a 2025 enforcement action on the right to erasure conducted by the European Data Protection Board.
