Security, privacy, and agentic AI in a regulatory view: From definitions and distinctions to provisions and reflections

TL;DR

This paper reviews EU AI regulations from 2024-2025, clarifying key definitions and analyzing provisions related to security, privacy, and agentic AI to inform policy and governance.

Contribution

It provides a detailed analysis of recent EU AI regulatory documents, clarifies critical concepts, and offers reflections to improve AI governance and compliance strategies.

Findings

Clarified definitions of security, privacy, and agentic AI.

Identified gaps and ambiguities in current EU regulations.

Proposed insights to align security and privacy with autonomous AI behaviors.

Abstract

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 the domains of security and privacy, where the capabilities of autonomous agents often blur traditional legal and technical boundaries. This paper reviews the evolving European Union (EU) AI regulatory provisions via analyzing 24 relevant documents published between 2024 and 2025. From this review, we provide a clarification of critical definitions. We deconstruct the regulatory interpretations of security, privacy, and agentic AI, distinguishing them from closely related concepts to resolve ambiguity. We synthesize the reviewed documents to articulate the current state of regulatory provisions targeting different types of AI, particularly those related to security and privacy aspects. We analyze and reflect on the existing provisions in the regulatory dimension to better align security and privacy obligations with AI and agentic behaviors. These insights serve to inform policymakers, developers, and researchers on the compliance and AI governance in the society with increasing algorithmic agencies.