Privacy is shifting from a control paradigm to one based on trust due to the rise of autonomous agentic AI systems that interpret, infer, and act on our data. As AI agents become more adaptive and semi-autonomous, questions around verification, trustworthiness, and legal privileges become critical to safeguarding personal privacy versus societal risks. #AgenticAI #DigitalIdentity
Keypoints
- Traditional privacy focused on access control, but AI introduces trust and inference as new concerns.
- Agentic AI interprets data and makes decisions that can subtly shift power dynamics over time.
- Trust primitives such as authenticity and veracity are essential to ensure reliable AI behavior.
- The legal and ethical boundaries of AI, including privacy privileges, are still undefined and evolving.
- Designing AI systems requires establishing ethical boundaries, explainability, and alignment with user values.
Read More: https://thehackernews.com/2025/08/zero-trust-ai-privacy-in-age-of-agentic.html