If you've ever tried to answer the question “how well governed is our application landscape?” using only native Entra ID or Okta tooling, you already know the problem. Both platforms give you strong visibility into what’s formally integrated — the applications that went through SSO onboarding, have configured connectors, and appear in your tenant settings. They give you very little visibility into everything else. That “everything else” is where most enterprise application risk actually lives. Departmental tools purchased outside IT oversight, browser-based apps that employees access without SSO, AI tools connecting to company data through personal accounts, service accounts with permissions nobody has reviewed in years. These don’t appear in your IdP dashboard. They appear in audit findings. A well-designed app governance score addresses this gap by giving IT and security teams a prioritized, at-a-glance view of their real application risk posture — not just the portion of it that’s formally managed.

Is App Governance Actually a Pain Point for Entra ID and Okta Users? Yes, consistently. The native governance capabilities in both platforms are authentication-focused by design. Entra ID and Okta are built to manage how users authenticate to applications — SSO configuration, MFA enforcement, conditional access policies, app registrations. They’re not built to answer governance questions: which of these apps are over-privileged, which have no assigned owner, which are being used by accounts that should have been deprovisioned six months ago. The gap between what IdP-native tooling shows and what’s actually running in an enterprise environment is substantial. Estimates for the share of enterprise applications operating outside formal IT oversight — sometimes called Shadow IT — consistently run above half of total application usage. For AI tools specifically, the growth curve has outpaced governance frameworks significantly: employees adopt AI assistants, productivity tools, and automation services through personal accounts or department budgets, and these rarely appear in SSO inventories. For teams managing Entra ID or Okta tenants, the practical consequence is that your governance posture is only as good as your visibility — and if your visibility ends at your SSO perimeter, you’re governing a fraction of your actual estate.

What Should an App Governance Score Actually Measure? The four-pillar framework — Visibility, Discovery, Remediation, Governance — maps well to the real structure of the problem. Here’s what each pillar needs to actually capture to be useful rather than cosmetic. Visibility Visibility in this context means more than an inventory of SSO-registered applications. A useful visibility score measures how complete your picture of the application estate actually is — including applications that exist outside formal integration. Entra ID shows you registered app registrations and enterprise applications. It doesn’t show you the browser-based tools employees access through bookmarked URLs, the vendor portals with basic auth, or the SaaS tools purchased on department credit cards. A visibility pillar that only measures what’s in Entra ID is measuring the easy part and ignoring the problem. Complete visibility requires pulling from multiple signal sources: SSO logs for formally integrated apps, browser agents for URL-based application launches, financial and expense data for spend-based subscriptions, and HRMS data for correlating user attributes with application access. A score that reflects all of these signals is measuring actual visibility. A score that reflects only SSO inventory is measuring IdP coverage. Discovery Discovery goes beyond inventory to characterize the risk profile of what’s been found. The specific categories that matter most for prioritization: ownerless applications (no formally assigned owner accountable for access reviews), unmanaged applications (in use but outside IT governance), over-privileged app registrations (OAuth scopes or API permissions broader than the application’s actual function requires), and applications with expired or unrotated credentials. Non-human identities deserve specific attention here. Service accounts, API tokens, machine identities, and bot accounts often accumulate across platforms like AWS, GitHub, and Snowflake without the lifecycle management applied to human user accounts. They’re provisioned for a project, the project ends, and the account persists indefinitely with whatever permissions it was granted. Discovery that surfaces NHIs alongside human-facing applications gives teams a complete picture rather than one that systematically misses a high-risk category. Remediation A remediation pillar that produces a list of issues is less useful than one that connects issues to actions. The gap between “here are your misconfigurations” and “here’s what’s been fixed” is where governance initiatives stall — the list gets long, prioritization is unclear, and remediation work competes with everything else the team is managing. Two things make a remediation pillar operationally useful. First, prioritization by risk level: not all misconfigurations carry the same risk, and a scoring system that weights excessive permissions in a privileged-access application differently from an expired credential in a low-sensitivity tool helps teams focus effort where it matters most. Second, automated remediation paths for high-confidence issues: when a restricted app is detected in use by unauthorized users, a security orchestration playbook that automatically notifies the security team or initiates a revocation workflow converts the finding into an action rather than a queue item. Governance The governance pillar measures whether the organizational controls around applications are in place and functioning: formal owner assignment for every managed application, current access reviews with documented decisions, policy enforcement for onboarding and offboarding, and compliance evidence generation for audit frameworks. A risk score per application — combining factors like OAuth scope breadth, compliance certification status, security incident history, and privilege level — gives teams a triage mechanism for their governance backlog. An application usage score — derived from active usage data rather than provisioned access — identifies shelfware candidates (applications being paid for but not meaningfully used) alongside governance gaps. Both are useful for different decisions: the risk score prioritizes security remediation, the usage score prioritizes license optimization and decommissioning.

Would a Scoring System Help Teams Prioritize? Yes, and this is probably the most practically useful aspect of the framework. Enterprise application estates at scale — hundreds or thousands of applications across Entra ID and Okta tenants — are too large to govern without prioritization. Treating every unmanaged application with equal urgency is the same as having no priority at all. A numerical risk score (a 1–100 scale or a threat level tier) gives teams a starting point that doesn’t require manual triage. The highest-scoring applications — those combining high privilege, broad OAuth scopes, no assigned owner, and no recent access review — surface at the top automatically. Teams can work down from there, with the score updating as remediation happens. The contextual layer that makes scoring more useful than a raw list is relationship mapping: understanding not just that an application exists and has a score, but why a specific user has access, how that access was granted, and what other applications or identities are connected to it. Context graphs — visualizing identities and applications as a relationship network rather than independent records — give reviewers the information they need to make a revocation decision rather than just a flag that something needs attention.

Features Worth Including in the Roadmap Beyond the core four pillars, the features that practitioners consistently identify as high-value additions to an app governance tool: Segregation of Duties detection identifies toxic combinations of entitlements — permissions that, held simultaneously, create control violations. A user who can both create and approve a financial transaction, or who has both read and write access to an audit log, represents an SoD violation that standard access reviews don’t reliably catch. Automated detection and remediation of these combinations is a high-priority capability for regulated industries. AI-powered NHI classification applies machine learning to the categorization of service accounts and non-human identities — automatically distinguishing between legitimate service accounts with appropriate permissions, dormant accounts that should be deprovisioned, and AI agents that have been granted access outside formal oversight. Manual classification at scale isn’t viable; automated classification makes NHI governance tractable. Audit-ready evidence generation — non-editable, timestamped PDF reports documenting which applications were reviewed, by whom, with what decision, and with confirmation of remediation for flagged issues — is the output that converts governance activity into compliance evidence. For SOC 2, ISO 27001, and similar frameworks, the evidence format matters as much as the underlying activity.

The Underlying Validation The reason a framework like this resonates with practitioners managing Entra ID and Okta environments is that it addresses a real structural gap: both platforms are excellent at what they were designed for, and neither was designed to answer the governance questions that auditors and security teams increasingly need to answer. An app governance score built on multi-source discovery, risk-weighted prioritization, and automated remediation paths fills that gap in a way that native tooling alone doesn’t. The organizations that will find it most useful are the ones that already know their SSO inventory isn’t their complete application estate — which, at enterprise scale, is most of them.