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25/06/2026 2:52 pm
TL;DR: Access analytics that unify EAM, MAM, and behaviour signals across desktop and mobile environments were recognised for helping healthcare, manufacturing, and government teams detect misuse and improve compliance, according to Imprivata. The real issue is not analytics volume but whether organisations can turn fragmented access data into actionable governance before risk becomes operational drag.
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 use access analytics in shared-device environments?
A: Security teams should use access analytics to combine identity, device, and workflow context before making decisions about misuse or compliance risk.
Q: Why do shared devices make access governance harder?
A: Shared devices weaken the assumption that one device equals one identity and one stable usage pattern.
Q: What do teams get wrong about behaviour analytics for access risk?
A: Teams often expect behaviour analytics to replace access governance, when it actually depends on clean identity context and good baseline design.
Practitioner guidance
- Inventory access evidence sources across desktop and mobile environments Identify which systems hold identity, device, workflow, and access telemetry, then document where correlation is currently manual or missing.
- Define environment-specific behavioural baselines Set different baseline expectations for shared devices, frontline users, and higher-risk records access instead of applying one universal model.
- Standardise the evidence needed for access investigations Require a consistent set of fields for every access review, including user context, endpoint context, workflow status, and affected asset type.
What's in the full analysis
Imprivata's full article covers the operational detail this post intentionally leaves for the source:
- The award context and evaluation criteria behind the Cybersecurity Breakthrough recognition
- How the platform combines enterprise access management, mobile access management, and integrated data sources
- The specific workflow and dashboard capabilities that let teams surface anomalies without manual data stitching
- The broader product context for organisations evaluating access intelligence tooling in mission-critical environments
👉 Read Imprivata's article on access intelligence for mission-critical environments →
Shared-device access analytics: what it means for IAM teams?
Explore further
25/06/2026 4:04 pm
Access intelligence is becoming the control plane for fragmented identity evidence. The value is not the dashboard itself but the ability to collapse access records, mobile signals, and workflow context into something decision-ready. In environments with shared devices and frontline work, governance fails when evidence is scattered across systems that were never built for joint interpretation. Practitioners should treat access intelligence as an operating layer, 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.
- Only 1.5 out of 10 organisations are highly confident in their ability to secure NHIs, according to The State of Non-Human Identity Security.
A question worth separating out:
Q: How do organisations know if access intelligence is working?
A: Access intelligence is working when security, IT, and compliance teams can answer the same access question without rebuilding the evidence each time. That means shorter investigation cycles, fewer manual data joins, and clearer explanations for why access was accepted, challenged, or escalated. If the platform only adds more dashboards, it is not changing governance.
👉 Read our full editorial: Access intelligence for shared-device environments in mission-critical sectors
