How to Detect Non-Human Identities: 6 Effective Methods

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6 ways to identify non-human identities (NHIs) June 16, 2026

Non-human identities (NHIs) have long been categorized as predictable entities such as service accounts, API keys, tokens, certificates, automation users, secrets, bots, and machine-to-machine access. These were considered low-risk due to their predefined roles and repetitive functions. However, the evolving landscape of enterprise operations has rendered this assumption obsolete. Modern organizations now rely on thousands of applications, integrations, automations, and localized identity pathways, many of which remain hidden from traditional identity management systems like EntraID, Okta, SailPoint, PAM, cloud IAM solutions, and secrets vaults. A recent analysis revealed that invisible identity, or \”identity dark matter,\” now surpasses visible identity in enterprise environments, with 57% of the identity surface unaccounted for compared to 43%. Notably, 67% of non-human accounts are deployed directly within applications, bypassing conventional identity governance frameworks. This shift redefines the scope of identity management, moving beyond directory-based user verification to encompass how identities interact across application ecosystems, their authority levels, and their business implications. The emergence of AI agents further complicates this landscape. Unlike traditional NHIs, which operated within rigid code boundaries, agentic AI systems can autonomously pursue objectives, identify shortcuts, and exploit available access paths. Environments with unmanaged local accounts, excessive privileges, hardcoded credentials, or orphaned identities are particularly vulnerable, as AI agents can exploit these weaknesses faster than human oversight can detect.

Prioritize Application-Level Inspection

Relying solely on identity providers (IdPs) or identity governance and administration (IGA) systems provides an incomplete picture. Many NHIs become visible only when examining how applications handle authentication, authorization, credential storage, API calls, and downstream system interactions. The application layer is often where identities are created, utilized, and concealed.

Map Identity Pathways from the Perimeter Inward

Identify the systems each application communicates with, the databases it accesses, the APIs it invokes, and the credentials it employs. Determine whether these interactions flow through centralized identity controls or bypass them entirely. Research indicates that 57% of applications operate outside formal IAM infrastructures, expanding the identity attack surface beyond traditional boundaries.

Link NHIs to Ownership and Business Context

Uncontextualized NHIs cannot be effectively governed. Teams must associate each non-human actor with its corresponding application, owner, business process, and target system. This involves asking critical questions: Why does this identity exist? Who relies on it? What disruptions would occur if it were modified?

Analyze Intent and Behavioral Patterns

Evaluate the actions performed by NHIs, including their access patterns, frequency of execution, systems they interact with, and whether their behavior aligns with intended purposes. This helps distinguish routine operations from anomalous or high-risk activities.

Assess Hygiene and High-Risk Combinations

Once NHIs are identified, evaluate their status: Are they active, dormant, orphaned, overprivileged, or managed locally? Check for hardcoded credentials, clear-text storage, concurrent usage, or lack of logging. High-risk scenarios often arise from combinations such as elevated privileges on orphaned accounts or unsecured access paths.

Implement Operational Guardrails

Visibility alone is insufficient. Organizations must transition from discovery to control by assigning ownership, enforcing least privilege, rotating credentials, integrating NHIs into governance workflows, monitoring their activity, documenting exceptions, and maintaining audit trails. The goal is not to eliminate NHIs but to ensure they are visible, understood, and governed.

NHIs represent a critical challenge at the intersection of applications, identity infrastructure, security operations, compliance, and AI readiness. As agentic AI systems become more prevalent, the urgency to address this issue intensifies. These entities combine human-driven objectives with machine-speed execution, operating across applications, data, and infrastructure. Enterprises must shift from static inventory projects to continuous identity observability and orchestration across their application estates. This approach ensures teams maintain the visibility, ownership, and control necessary to navigate the complexities of the AI-driven era.