Topic starter
23/06/2026 9:10 pm
TL;DR: C1.ai says fragmented identity data across HR systems, directories, contractors, vendors, service accounts, and AI agents creates inconsistent attributes, duplicated work, and limited visibility, because most enterprises still manage identities across disconnected systems. Identity governance now depends on a single authoritative source of truth that can keep identity data synchronised across every system, including AI agents.
Editorial analysis by NHI Mgmt Group, based on content published by C1.ai: “Meet Super Directory: Identity Orchestration Starts Here”.
By the numbers:
- Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
Key questions
Q: How should IAM teams reduce identity sprawl without losing control depth?
A: Start by defining an authoritative identity source for each lifecycle state, entitlement type, and audit record, then remove duplicate policy paths that force teams to reconcile the same event in multiple tools.
Q: Why do service accounts and AI agents need different controls from human users?
A: Service accounts and AI agents authenticate and act without the predictable patterns that human identity systems expect.
Q: What are the signs that identity orchestration is not being used effectively?
A: Poorly orchestrated identity environments usually show up as repeated code changes for access logic, inconsistent authentication behavior across applications, and policy differences between clouds and on premises.
Practitioner guidance
- Define authoritative identity sources Map which system owns each identity attribute, profile type, and group structure, then remove overlaps that cause conflicting updates across downstream systems.
- Create distinct non-human identity types Model service accounts and AI agents as separate profile types so downstream policy, approvals, and lifecycle handling do not rely on human-centric assumptions.
- Automate attribute synchronisation Push approved changes from the authoritative source into identity providers, directories, and applications so access state stays aligned everywhere.
Bottom line: Fragmented identity records are a governance problem because they create inconsistent attributes, duplicated work, and weak visibility across the estate.
What's in the full article
C1.ai's full blog covers the operational detail this post intentionally leaves for the source:
- How Super Directory models profile types for employees, contractors, vendors, retirees, service accounts, and AI agents
- How attribute mapping and push updates work across downstream identity systems
- How password reset workflows are handled within the broader identity orchestration layer
- How the platform is positioned to sit above existing directories such as Okta Universal Directory or Entra ID
👉 Read C1.ai's analysis of identity orchestration for AI agents and mixed identity data →
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25/06/2026 2:19 am
Identity orchestration is now a governance primitive, not a convenience layer. When identity data is split across HR, directories, spreadsheets, and application-specific stores, every downstream access decision inherits uncertainty. That uncertainty becomes operational drag today and breach exposure tomorrow. The practitioner lesson is that identity security begins with record authority, not with policy decoration.
A few things that frame the scale:
- 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, according to the Ultimate Guide to NHIs.
- 53% of security leaders expect AI to run major portions of their infrastructure autonomously within the next three years, according to the 2026 Infrastructure Identity Survey.
A question worth separating out:
Q: How should organizations manage the identity risks associated with AI agents?
A: Organizations should enhance visibility into AI agents by incorporating robust monitoring and evaluation processes within their IAM frameworks. Regularly reviewing access rights and implementing stringent access controls will help mitigate risks and ensure IAM strategies align with evolving technologies.
👉 Read our full editorial: Identity orchestration for AI agents and mixed identity data