Remote Attestation Challenges for AI Agents¶
What to attest · How to attest · When to attest?
Abstract¶
Note
[Author: write a short abstract — what this document analyses (remote attestation challenges for AI agents) and what a reader will take away.]
This document examines the challenges of remote attestation (RA) for AI agents, organised around three questions: what to attest, how to attest, and when to attest. It surveys the current RA landscape, states the problem for agentic AI, identifies the core challenges and research/standardization gaps, and maps existing standards building blocks to the needs of AI-agent attestation.
History¶
Version |
Document |
Approval |
Focus Group |
Working Group |
|---|---|---|---|---|
0.1 |
Remote Attestation Challenges for AI Agents |
<date> |
TIDA |
RA-AAI |
To access this Document as a PDF, open the published documentation site in your web browser and click the PDF download link, or navigate directly to https://fg-tida.github.io/wg1-ra-aai/specification.pdf.
Keywords¶
Remote attestation, AI agents, agentic AI, trust, RATS, TCG, trusted computing.
Preface¶
Note
[Author: write the preface — the motivation for this document, its scope, and its intended audience.]
Foreword¶
Agentic AI systems now act as autonomous entities capable of reasoning, planning, and executing tasks across services, infrastructures, and organizational boundaries. This fundamentally changes the nature of identity in digital systems: identity is no longer limited to human users and static machine instances but must also encompass autonomous, dynamic, and goal-oriented agents. And identity alone is insufficient — the core question extends beyond “what an entity is” to “whether, and under what conditions, that entity should be trusted to act”.
The Focus Group on Trust and Identity for humans and agentic AI (FG-TIDA) addresses trust management and interoperable digital identity infrastructure for humans and for agentic AI, supporting the development of secure, trustworthy digital ecosystems in which humans and agentic AI can safely interact and collaborate.
FG-TIDA was established under Recommendation ITU-T A.7 (Focus groups: Establishment and working procedures), with ITU-T Study Group 17 as its parent group. Further details are available in the group’s terms of reference.
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