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25/06/2026 2:52 pm
TL;DR: Shared-device environments still force security, compliance, and operations teams to reconcile access visibility with frontline productivity, and Imprivata says its Access Intelligence Platform centralises access data from EAM, MAM, and more across 400-plus integrations. The real issue is not dashboards, but whether identity governance can surface risk signals fast enough to reduce manual reconciliation and response delay.
NHIMG editorial — based on content published by Imprivata: Imprivata Access Intelligence Platform wins 2025 Cybersecurity Breakthrough Award for IoT Security Analytics Solution of the Year
Questions worth separating out
Q: How should security teams govern access in shared-device environments?
A: They should govern access around evidence quality as much as access approval.
Q: Why do fragmented access logs weaken identity governance?
A: Fragmented logs weaken identity governance because they prevent teams from reconstructing access events into a reliable narrative.
Q: What signals show that access analytics is actually working?
A: Access analytics is working when analysts can trace unusual access back to a user, device, and workflow context without manual reconciliation.
Practitioner guidance
- Define the access evidence model List which identity, device, workflow, and HR sources are required to explain access decisions in shared-device environments.
- Prioritise high-risk workflow integrations Start with the systems that govern sensitive records, frontline workflows, and privileged actions so analytics covers the access paths most likely to create compliance and insider-risk exposure.
- Test behavioural alerts against real response owners Validate that each anomaly alert maps to a named team, a clear escalation path, and a specific containment action before enabling automated response.
What's in the full analysis
Imprivata's full article covers the product and award context this post intentionally leaves at the analytical level:
- How the Access Intelligence Platform correlates access data from EAM, MAM, HR, workflow, and endpoint sources
- Examples of the no-code dashboarding approach and how teams can customise access views
- The vendor's description of AI and machine learning use cases for behaviour analytics and insider-threat detection
- The award context and the evaluation criteria used by the Cybersecurity Breakthrough Awards
👉 Read Imprivata's analysis of access intelligence for mission-critical environments →
Access intelligence for shared devices: what IAM teams should assess?
Explore further
25/06/2026 4:04 pm
Access intelligence is becoming the missing governance layer between identity and operations. In shared-device and frontline environments, security teams cannot rely on raw logs or isolated dashboards to understand access risk. They need a control plane that connects access behaviour to accountability, compliance, and response. The field should treat access intelligence as governance infrastructure, not a reporting convenience.
A few things that frame the scale:
- 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
- A further 47% report only partial visibility into those OAuth-connected vendors, which means the oversight problem persists even when teams believe they have coverage.
A question worth separating out:
Q: Who should own access intelligence governance?
A: Ownership should sit with the team responsible for identity governance and operational risk, with clear participation from security, compliance, and platform owners. Access intelligence fails when it is treated as a reporting tool instead of a control surface with defined review and response responsibility.
👉 Read our full editorial: Access intelligence for shared-device environments needs better governance
