IA-9 Overlay: Identification and Authentication of Non-Person Actors in AI Systems

The candidate control list for NISTIR 8605B includes evidence controls (AC-16, AU-3, AU-10, AU-12, and SA-8(22)) that presuppose a binding between an action and an actor. No IA-family control on the candidate list defines how a non-person actor obtains an authenticated identity. AU-3 requires “the identity of the subject associated with the event,” but nothing on the list defines what that identifier is for an autonomous agent, who issues it, or how an assessor would test that it is authoritative. The consequence is vacuous non-repudiation: AU-10 asserted over a self-asserted subject is not weak evidence. It is a control with no testable assertion in it. An assessor running SP 800-53A procedures against the evidence controls as currently listed has no way to determine whether the actor identifier in a record is authoritative or self-asserted. Signed records with unverifiable subjects are weaker artifacts than they look. IA-9 (Service Identification and Authentication) is the natural home. Unlike AU-3(1) or CA-2(1), IA-9 is not inherited from the Moderate or High baselines, so the gap is real rather than assumed satisfied by baseline inheritance.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-29
DOI
https://doi.org/10.5281/zenodo.23069129
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

IA-9 Overlay: Identification and Authentication of Non-Person Actors in AI Systems

Bradley B, Thadi Murali
Zenodo (CERN European Organization for Nuclear Research)
Adversarial Robustness in Machine Learning
article

IA-9 Overlay: Identification and Authentication of Non-Person Actors in AI Systems

Bradley B, Thadi Murali
article en

Abstract

The candidate control list for NISTIR 8605B includes evidence controls (AC-16, AU-3, AU-10, AU-12, and SA-8(22)) that presuppose a binding between an action and an actor. No IA-family control on the candidate list defines how a non-person actor obtains an authenticated identity. AU-3 requires “the identity of the subject associated with the event,” but nothing on the list defines what that identifier is for an autonomous agent, who issues it, or how an assessor would test that it is authoritative. The consequence is vacuous non-repudiation: AU-10 asserted over a self-asserted subject is not weak evidence. It is a control with no testable assertion in it. An assessor running SP 800-53A procedures against the evidence controls as currently listed has no way to determine whether the actor identifier in a record is authoritative or self-asserted. Signed records with unverifiable subjects are weaker artifacts than they look. IA-9 (Service Identification and Authentication) is the natural home. Unlike AU-3(1) or CA-2(1), IA-9 is not inherited from the Moderate or High baselines, so the gap is real rather than assumed satisfied by baseline inheritance.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Openalex Percentile: Top 9%
Adversarial Robustness in Machine Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

IA-9 Overlay: Identification and Authentication of Non-Person Actors in AI Systems — Bradley B, Thadi Murali · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS