sources · source-sailpoint-governing-ai-agents-2025

Governing AI agents with Agent Identity Security

Amy Shillinglaw presents SailPoint's model for governing AI agents as identities whose behavior combines machine execution with human-like autonomy. She separates inbound authorization—who may invoke an agent—from outbound authorization—what resources the agent may use for that person—and frames inventory, tool correlation, human ownership, succession, and dual-sided certification as the control sequence. A product demonstration shows how those ideas are represented in SailPoint's platform, including user entitlements, machine-account correlation, and access reviews. The session also identifies risks such as runaway subtasks, compromised code or credentials, poisoned data, and poor explainability. Because this is a vendor webinar, the record supports product and practitioner claims, not independent performance findings.

Open the canonical original source

Source at a glance

Source type: video
Publisher: SailPoint Technologies
Source or access date: 2025-11-20
Analysis depth: deep
Rights treatment: link and paraphrase
Human review: Murray Newlands · 2026-08-16

Important limitations

Vendor-produced product presentation
No independent customer outcomes
Capabilities and supported connectors are time-sensitive
Platform captions contain transcription errors
Promotional page speaker list differs from the actual recording

Source-located statements

8 reviewed statements are indexed from this source.

Evidence lineage and transparency

Relationship field	Linked identifiers
speaker ids	person-amy-shillinglaw
organization references	orgref-sailpoint

Machine review: ready for human review. Human review: approved. Workflow: published.

Complete structured record

source id: source-sailpoint-governing-ai-agents-2025
canonical title: Governing AI agents with Agent Identity Security
alternate titles: Securing AI Agents with Agent Identity Security Nov 2025
source type: video
series or parent source: SailPoint Community Webinar / Video Library
publisher: SailPoint Technologies
channel: SailPoint Developer Community
speaker ids: person-amy-shillinglaw
author ids
institutional author: SailPoint Technologies
organization references: orgref-sailpoint
recorded at: 2025-11-20
event date: 2025-11-20
published at: 2025-11-20
updated at: Unknown
duration seconds: 3436
language: lang-en
translated title: Unknown
translation method: Unknown
geography of speaker
geography of organization: geo-global
geography discussed: geo-global
study geography
original url: https://developer.sailpoint.com/discuss/t/governing-ai-agents-with-agent-identity-security/188944
canonical url: https://developer.sailpoint.com/discuss/t/governing-ai-agents-with-agent-identity-security/188944
archived url: Unknown
embed url: https://play.vidyard.com/qewbsaA1gHud1Dws5LQNac.html
doi: Unknown
canonical identity status: verified_official_publisher_page_and_embedded_recording
repost status: original_publisher_embed_no_competing_canonical_upload
original source id: Unknown
rights status: link_and_paraphrase
ownership status: third_party
relationship to off: none
transcript status: official_platform_captions_research_only
transcript source: Vidyard English WebVTT captions embedded by SailPoint
transcript republication permission: not_documented_do_not_publish_full_captions
chapter markers: [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]
analysis basis: Complete official Vidyard recording and speaker-labeled English platform captions reviewed against the SailPoint community page, registration page, and player metadata. The recording itself controlled speaker inclusion where promotional metadata differed.
topics: topic-ai-agents, topic-ai-governance, topic-cybersecurity, topic-non-human-identity, topic-enterprise-infrastructure
executive roles: role-ciso, role-cio, role-cto
original abstract: Amy Shillinglaw presents SailPoint's model for governing AI agents as identities whose behavior combines machine execution with human-like autonomy. She separates inbound authorization—who may invoke an agent—from outbound authorization—what resources the agent may use for that person—and frames inventory, tool correlation, human ownership, succession, and dual-sided certification as the control sequence. A product demonstration shows how those ideas are represented in SailPoint's platform, including user entitlements, machine-account correlation, and access reviews. The session also identifies risks such as runaway subtasks, compromised code or credentials, poisoned data, and poor explainability. Because this is a vendor webinar, the record supports product and practitioner claims, not independent performance findings.
inclusion rationale: The full recording provides a concrete governance model, exact speaker attribution, a detailed demonstration, and timestamped product limitations relevant to enterprise identity teams.
source quality dimensions: {"primary_spoken_source":"high","identity_stability":"high","access_completeness":"complete","independence":"vendor_produced"}
methodology quality: {"study_design":"vendor_practitioner_webinar_and_demo","empirical_method":"none","attribution_method":"speaker_labeled_platform_captions_and_self_identification"}
study design: vendor_practitioner_webinar_and_demo
sample: {}
population: Unknown
date range: {}
funding: SailPoint-produced webinar
sponsor: SailPoint Technologies
peer review status: not_applicable
findings
limitations: Vendor-produced product presentation, No independent customer outcomes, Capabilities and supported connectors are time-sensitive, Platform captions contain transcription errors, Promotional page speaker list differs from the actual recording
correction ids
retraction status: Unknown
content hash: sha256:a254342e28dcc6b6bd1994f5366e0ea44c02899eacb3a2861a795f567a5ced7c
accessed at: 2026-08-15
verification status: machine_verified_human_approved
source depth: deep
publication status: published
workflow status: published
machine review status: ready_for_human_review
human review status: approved
reviewed by: Murray Newlands
reviewed at: 2026-08-16T23:17:22Z

Provenance and revision history

{
  "provenance": [
    {
      "source_url": "https://developer.sailpoint.com/discuss/t/governing-ai-agents-with-agent-identity-security/188944",
      "accessed_at": "2026-08-15",
      "retrieval_method": "official publisher page, embedded recording, player metadata, and platform captions",
      "exact_locator": "Vidyard qewbsaA1gHud1Dws5LQNac; 00:00-57:15.627",
      "content_hash": "sha256:a254342e28dcc6b6bd1994f5366e0ea44c02899eacb3a2861a795f567a5ced7c",
      "batch_id": "BATCH-2026-004",
      "prompt_id": "OEII-MEDIA-RESEARCH",
      "prompt_version": "2.0",
      "notes": "Caption hash sha256:4433395b628f50446a618e6608896ae2d4fc219c940678162fa8dbe817878a5a; caption file is not included."
    }
  ],
  "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-2026-004"
    }
  ]
}

Open machine-readable record