statements ยท statement-BATCH-2026-006-017
source-BATCH-2026-005-004
The report organizes agent identity practice around open protocols, authenticated interactions, least privilege, automated lifecycle controls, audit trails, and interoperability.
Statement context
- Statement type
- strategic framework
- Exact source locator
- PDF file p. 17 (document p. 16), "Best Practices", October 2025 version
- Source date
- Unknown
- Role at source time
- joint authors of the OpenID Foundation report
- Evidence character
- normative recommendation
- Scope
- Enterprise identity programs for AI agents.
Recorded uncertainty: The list is normative and its components are not ranked by measured effectiveness.
Indexed source: Identity Management for Agentic AI
Evidence lineage and transparency
| Relationship field | Linked identifiers |
|---|---|
| topic ids | topic-ai-agents, topic-ai-governance, topic-cybersecurity, topic-non-human-identity |
Machine review: machine checked. Human review: approved. Workflow: published.
Complete structured record
- statement id
- statement-BATCH-2026-006-017
- source id
- source-BATCH-2026-005-004
- person id
- Unknown
- institutional author
- South et al. (joint report authors)
- book edition id
- Unknown
- speaker role at source time
- joint authors of the OpenID Foundation report
- organization at source time
- OpenID Foundation
- statement type
- strategic_framework
- neutral paraphrase
- The report organizes agent identity practice around open protocols, authenticated interactions, least privilege, automated lifecycle controls, audit trails, and interoperability.
- direct quote
- Unknown
- direct quote rights note
- Unknown
- exact locator
- PDF file p. 17 (document p. 16), "Best Practices", October 2025 version
- locator type
- pdf_page
- source date
- Unknown
- topic ids
- topic-ai-agents, topic-ai-governance, topic-cybersecurity, topic-non-human-identity
- executive role context
- role-ciso, role-cio, role-cto, role-general-counsel, role-board-director
- industry context
- cross-sector
- geographic context
- global technology standards context
- evidence character
- normative_recommendation
- factual verification status
- not_applicable
- statement scope
- Enterprise identity programs for AI agents.
- uncertainty
- The list is normative and its components are not ranked by measured effectiveness.
- extraction method
- Machine-assisted close reading of the exact verified source version; original neutral paraphrase; human review pending.
- machine extraction confidence
- 0.94
- independent agent review status
- not_started
- 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 and revision history
{
"provenance": [
{
"source_url": "https://openid.net/wp-content/uploads/2025/10/Identity-Management-for-Agentic-AI.pdf",
"accessed_at": "2026-08-15",
"retrieval_method": "Exact verified source version inherited from BATCH-2026-005 and statement-level close reading",
"exact_locator": "PDF file p. 17 (document p. 16), \"Best Practices\", October 2025 version",
"content_hash": "e6a0e5909fcb2486568180f69d511ae2af8d20a1bfb3028b39b3d1072846f4f3",
"batch_id": "BATCH-2026-006",
"prompt_id": "OEII-STATEMENT-CODING",
"prompt_version": "2.0",
"notes": "Source eligibility inherited from source-BATCH-2026-005-004; human attribution and publication 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-2026-006"
}
]
}