When Entitlements Overrun Identity Governance
Fragmented Entitlements, Slow Onboarding and Audit Pressures
In a highly regulated life sciences environment, more than 1,000 applications used by thousands of employees, contractors and research partners had turned identity and access management (IAM) into a maze of entitlements and access paths.
Key pressure points included:
- Entitlement sprawl: 10–5,000+ entitlements per application, resulting in tens of thousands of permissions to manage.
- Inconsistent request flows: ITSM tickets, static entitlement lists, emails and custom application workflows operating in parallel.
- Weak role model: Few birthright roles and no formal RBAC, forcing entitlement-level approvals.
- Ownership bottlenecks: Application owners overloaded with approvals and reviews, with limited end-to-end visibility.
Managers were certifying entitlements, not business need – turning access reviews into a compliance chore, not a control.
The impact was immediate: onboarding timelines stretched to four weeks, contractors waited with limited access, approval fatigue increased and access tickets piled up. Compliance teams faced heavy certification workloads, delayed deprovisioning, weak segregation-of-duties (SoD) controls and rising audit risk.
Industry research links identity sprawl across SaaS and multi-cloud estates to a growing share of cyber incidents.
The client needed to turn noisy entitlements into a clean, role-based model without pausing scientific work.
Persistent’s AI-Powered Role Mining Co-pilot
To move from entitlement-by-entitlement decisions to a scalable role-based access control (RBAC) model, the client partnered with Persistent. The answer was an AI-powered IAM Role Mining Co-pilot designed to sit alongside existing identity governance (IGA) and access request platforms, not replace them.
The core shift was simple but powerful: Stop arguing over individual entitlements and start designing roles that make business sense.
The Co-pilot:
- Discovers roles bottom-up by applying machine learning to entitlement data from IGA platforms, ITSM tools and offline exports.
- Accelerates role naming and documentation with LLM-based recommendations that generate business, technical and hierarchical role names, along with clear and consistent role descriptions.
- Delivers value before full integration by ingesting entitlement data even from applications not yet integrated with the IGA platform.
This AI-assisted, role-first foundation created space for governance teams to move faster without losing control.
Solution in Action: Human-Governed, AI-Accelerated
IAM analysts and application owners used the Co-pilot to review AI-recommended roles, apply SoD policies and manage edge cases, while the platform did the heavy lifting across role discovery and documentation.
In practice, the solution:
- Correlated roles with HR attributes (department, location, designation) to enable birthright provisioning and Day 1 baseline access.
- Standardized role deployment into the Access Request System and IGA platform through a single extensible framework.
- Surfaced outliers and one-off permissions for cleanup, shrinking residual risk and simplifying the IAM estate.
- Identified birthright roles programmatically, reducing the need for separate access requests and manual approvals.
AI scales role discovery; human governance keeps ownership, accountability and SoD discipline intact.
These choices set the stage for a different scale of governance outcomes.
Business Impact
Making Governance Work at Scale
The engagement delivered both immediate wins and long-term structural improvements across compliance, operations and employee experience:
- Up to 40% reduction in certification line items, making access reviews more manageable and improving audit confidence.
- Up to 40% fewer access requests as consolidated, business-aligned roles reduced approval bottlenecks.
- 50% faster role definition and documentation cycles through automated discovery and role naming, freeing analysts from repetitive tasks.
- Onboarding time reduced from up to four weeks to less than one week, eliminating costly idle time and enabling Day 1 productivity for new hires and contractors.
- 20% optimization in analyst and architect effort, shifting IAM teams from transactional work to strategic identity governance.
Independent analysis from McKinsey highlights that stronger identity and access governance is central to cyber resilience in digital enterprises.
Clearer role definitions, automated certifications and enforced SoD controls strengthened audit posture and reduced insider risk. The extensible framework also provides the client a repeatable way to scale governance to new applications, acquisitions and regulatory mandates.
Why Persistent – And What’s Next
Persistent brought deep IAM and regulated-industry expertise, solving ground-level challenges rather than designing in the abstract. Domain experience in healthcare and life sciences meant the team understood both regulatory pressure and the realities of research-driven culture.
What differentiated the engagement was a combination of:
- IAM and sector experience: Proven reference architectures and delivery patterns for healthcare and life sciences identity programs.
- Innovation with guardrails: Machine learning for role discovery, LLM-powered naming for audit-ready catalogs and a hybrid bottom-up plus top-down role model.
- Flexible execution: The Co-pilot worked with both integrated and offline entitlement data, supported phased rollout and engaged application owners, IAM teams and auditors from the start.
For this client, IAM moved from being a compliance cost center to a strategic enabler of secure, zero-trust growth.
With the IAM Role Mining Co-pilot in place, the client now has a practical path to scale RBAC across new applications and entities while keeping governance aligned with scientific innovation and evolving compliance mandates.
Assess your current identity governance posture. Explore how an AI-powered Role Mining Co-pilot could simplify your entitlement landscape and accelerate RBAC adoption. Talk with Persistent.
