Identity Management for Agentic AI

source id

source-BATCH-2026-005-004

canonical title

Identity Management for Agentic AI

alternate titles

source type

research_report

series or parent source

official OpenID Foundation PDF

publisher

OpenID Foundation

channel

Unknown

speaker ids

author ids

person-BATCH-2026-005-tobin-south, person-BATCH-2026-005-subramanya-nagabhushanaradhya, person-BATCH-2026-005-ayesha-dissanayaka, person-BATCH-2026-005-sarah-cecchetti, person-BATCH-2026-005-george-fletcher, person-BATCH-2026-005-victor-lu, person-BATCH-2026-005-aldo-pietropaolo, person-BATCH-2026-005-dean-h-saxe, person-BATCH-2026-005-jeff-lombardo, person-BATCH-2026-005-abhishek-shivalingaiah, person-BATCH-2026-005-stan-bounev, person-BATCH-2026-005-alex-keisner, person-BATCH-2026-005-andor-kesselman, person-BATCH-2026-005-zack-proser, person-BATCH-2026-005-ginny-fahs, person-BATCH-2026-005-andrew-bunyea, person-BATCH-2026-005-ben-moskowitz, person-BATCH-2026-005-atul-tulshibagwale, person-BATCH-2026-005-dazza-greenwood, person-BATCH-2026-005-jiaxin-pei, person-BATCH-2026-005-alex-pentland

institutional author

OpenID Foundation

organization references

recorded at

Unknown

event date

Unknown

published at

Unknown

updated at

Unknown

duration seconds

Unknown

language

lang-en

translated title

Unknown

translation method

Unknown

geography of speaker

geography of organization

geography discussed

global technology standards context

study geography

global technology standards context

original url

https://openid.net/wp-content/uploads/2025/10/Identity-Management-for-Agentic-AI.pdf

canonical url

https://openid.net/wp-content/uploads/2025/10/Identity-Management-for-Agentic-AI.pdf

archived url

Unknown

embed url

Unknown

doi

Unknown

canonical identity status

verified

repost status

original_or_authoritative_rendition

original source id

Unknown

rights status

link_and_paraphrase

ownership status

third_party

relationship to off

none_identified; Executive AI Research snapshot contains no matching production records

transcript status

Unknown

transcript source

Unknown

transcript republication permission

Unknown

chapter markers

analysis basis

Complete official 33-page PDF reviewed; identity, delegation, auditability, and use-case sections inspected visually.

topics

topic-ai-agents, topic-ai-governance, topic-cybersecurity, topic-non-human-identity

executive roles

role-ciso, role-cio, role-cto, role-general-counsel, role-board-director

original abstract

Unknown

inclusion rationale

Accepted discovery candidate candidate-BATCH-2026-001-027; contributes nonprofit/company white paper evidence or normative context to governed AI-agent identity.

source quality dimensions

{"attribution_strength":"high","methodological_transparency":"appropriate_for_white_paper_but_source_selection_not_reported","independence":"standards_community_publisher","bibliographic_stability":"high_official_pdf","evidence_strength":"moderate_normative_synthesis_not_empirical","unresolved":"Substantially the same intellectual work appears as arXiv:2510.25819v1."}

methodology quality

{"design":"non-empirical technical white paper and standards synthesis","transparency":"appropriate_for_white_paper_but_source_selection_not_reported","human_review_required":true}

study design

non-empirical technical white paper and standards synthesis

sample

{"size":"not applicable","sampling_method":"not applicable"}

population

AI-agent systems interacting with protected resources and other agents

date range

{"fieldwork":"not applicable","version":"October 2025"}

funding

not reported

sponsor

OpenID Foundation publisher; separate sponsorship not reported

peer review status

not reported; not treated as peer reviewed

findings

The authors argue that current mechanisms are strongest for synchronous, single-trust-domain patterns and weaker for cross-domain or recursive delegation., The paper distinguishes agent identity from user identity and calls for lifecycle management and enriched audit trails.

limitations

No implementation benchmark or comparative test., Formal source-selection, funding, conflicts, and review process are not reported.

correction ids

retraction status

none_identified_on_official_pdf_or_publisher_url_as_of_2026-08-15

content hash

e6a0e5909fcb2486568180f69d511ae2af8d20a1bfb3028b39b3d1072846f4f3

accessed at

2026-08-15

verification status

metadata_content_and_version_machine_verified_human_approved

source depth

deeply_analyzed

publication status

published

workflow status

published

machine review status

machine_checked

human review status

approved

reviewed by

Murray Newlands

reviewed at

2026-08-16T23:17:22Z

{
  "provenance": [
    {
      "source_url": "https://openid.net/wp-content/uploads/2025/10/Identity-Management-for-Agentic-AI.pdf",
      "accessed_at": "2026-08-15",
      "retrieval_method": "official source retrieval and machine-assisted review",
      "exact_locator": "October 2025",
      "content_hash": "e6a0e5909fcb2486568180f69d511ae2af8d20a1bfb3028b39b3d1072846f4f3",
      "batch_id": "BATCH-2026-005",
      "prompt_id": "OEII-EVIDENCE-RESEARCH",
      "prompt_version": "2.0",
      "notes": "Human review pending."
    }
  ],
  "revision_history": [
    {
      "changed_at": "2026-08-16T23:17:22Z",
      "changed_by": "Murray Newlands",
      "summary": "Approved for the governed-identities pilot release under the exact scope, exclusions, rights treatment, and limitations recorded in issue #18.",
      "batch_id": "BATCH-2026-005"
    }
  ]
}