How should security teams modernise a failing identity governance platform?

Start by identifying which lifecycle steps create the most manual effort, then separate operational backlog from governance design flaws. A modernisation effort should prioritise joiner-mover-leaver accuracy, deprovisioning reliability, connector quality, and source data hygiene before expanding feature scope. If the process still depends on tickets and spreadsheets, the control model has not been modernised.

Why This Matters for Security Teams

A failing identity governance platform is usually not just a tooling problem. It is a signal that joiner-mover-leaver processes, entitlement data, and deprovisioning controls no longer match the way access is actually provisioned. When teams keep adding workflows on top of stale source records, the platform becomes a queue manager instead of a control system. That is especially dangerous for NHIs, where service accounts, API keys, and other secrets often outlive the systems they were meant to protect. NHIMG’s Ultimate Guide to NHIs notes that 91.6% of secrets remain valid five days after notification, which shows how slow remediation can become when governance is brittle.

Modernisation should begin with evidence, not feature lists. NIST’s Cybersecurity Framework 2.0 reinforces that identity governance is part of an operating model, not a standalone admin function. If the platform cannot reliably answer who has access, why they have it, and how quickly it can be revoked, then adding more approvals or reports only increases friction without reducing risk. In practice, many security teams encounter prolonged access drift only after a failed offboarding or audit exception exposes how much manual cleanup the platform has been hiding.

How It Works in Practice

Modernising a failing platform works best when teams separate governance design from operational failure. Start by mapping the lifecycle steps that break most often: source-system updates, approval routing, entitlement sync, deprovisioning, and recertification. Then measure which failures come from bad data, broken connectors, or overly manual exception handling. The goal is not to automate a flawed model, but to replace brittle control points with reliable ones.

For NHIs, the same discipline applies to machine accounts and secrets. The Lifecycle Processes for Managing NHIs guidance is clear that lifecycle control matters more than periodic review alone. A practical modernisation path usually includes:

• cleaning up authoritative source data before expanding access request workflows
• standardising connector ownership so broken integrations do not become invisible control gaps
• automating deprovisioning checks against HR, app, and directory sources
• separating human identity workflows from NHI workflows, since their failure modes differ
• using policy-driven rules for joiner-mover-leaver events instead of ticket-only approvals

For NHI-heavy environments, the evidence is hard to ignore. NHIMG reports that 97% of NHIs carry excessive privileges and that only 20% of organisations have formal offboarding and API key revocation processes in place. That makes governance accuracy a security requirement, not an administrative preference. Current guidance suggests the platform should be redesigned around lifecycle integrity, not around more manual certification steps. These controls tend to break down when many identity sources feed one platform but no team owns connector health, because stale entitlements keep reappearing after every cleanup cycle.

Common Variations and Edge Cases

Tighter governance often increases operational overhead, so organisations must balance stronger control with acceptable change velocity. That tradeoff is real in mergers, fast-growing SaaS estates, and hybrid environments where identity data lives across directories, IAM tools, ticketing systems, and application-owned stores. Best practice is evolving, but there is no universal standard for how much workflow centralisation is enough. The right answer depends on whether the platform is failing because of scale, poor data quality, or a broken approval model.

One common edge case is when the platform works for humans but fails for NHIs. Human access can usually tolerate a slower approval path, but NHIs often need short-lived, task-specific access that is issued and revoked automatically. In those environments, governance should be aligned to Top 10 NHI Issues, especially credential sprawl, over-privilege, and weak rotation. Another edge case is audit readiness. A system that can produce reports but cannot deprovision reliably will still fail the control objective, even if dashboards look clean. Organisations with many third-party integrations should also assume some connector failures will be recurring and build exception handling that is measurable, time-bound, and reviewable rather than permanent. The practical test is simple: if a platform cannot remove access faster than teams can create exceptions, its governance model is already outdated.

Related resources from NHI Mgmt Group

• How do security teams know whether identity governance is reducing risk?
• How should security teams use IAST and RASP in NHI governance?
• How should security teams modernise identity governance for hybrid work and AI adoption?
• How should security teams evaluate a unified identity platform for governance coverage?