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ITU-T work programme

[2025-2028] : [SG17] : [Q16/17]

[Declared patent(s)]  - [Associated work]

Work item: X.aaia-sec
Subject/title: Security framework and technical requirements for autonomous AI agents
Status: Under study 
Approval process: TAP
Type of work item: Recommendation
Version: New
Equivalent number: -
Timing: 2028-Q4 (Medium priority)
Liaison: ITU-T SG13, ITU-T SG20, ITU-T SG21, ETSI TC SAI, ISO/IEC JTC1/SC27, ISO/IEC JTC1/SC42, IETF SAAG, CEN/CENELEC JTC21
Supporting members: China Telecom, ZTE Corporation, China Mobile, China Unicom, ETRI
Summary: Currently, AI agents have evolved from ordinary passive response systems into autonomous AI agents capable of autonomous planning, long-cycle execution, proactive notification, dynamic skill invocation, and self-evolution. Represented by systems such as OpenClaw, engineering deployments have introduced module capabilities like an independent control plane, long-cycle task planning, skills, scheduled tasks, and self-evolving long/short-term memory. These additions have also expanded new risk boundaries, including control plane risks, skills&tools supply chain risks, memory and self-evolution risks, and high-privilege runtime execution risks. Therefore, the security paradigms for autonomous AI agents, extending the security protection from the traditional "planning + memory + execution + model input/output" to "control plane + runtime + skills + self-evolution". This Recommendation proposes a comprehensive security framework for autonomous AI agents, covering initial phase security, agent runtime phase security, security observation. It serves as a critical reference for developers, operators, and users to build, deploy, and interact with trustworthy autonomous AI agent systems that meet foundational security requirements.
Comment: -
Reference(s):
  Historic references:
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Contact(s):
Wei LIANG, Editor
Ying LING, Editor
Jae Hoon NAH, Editor
Tian TIAN, Editor
Jing WANG, Editor
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First registration in the WP: 2026-06-10 08:31:31
Last update: 2026-06-18 14:02:00