Why does HIPAA compliance now force IAM and network teams to work together?

Because the proposed rule treats access as a containment problem, not just an authentication problem. IAM manages who can enter, but segmentation and termination determine how far that access can spread and how long it remains valid. Healthcare teams need one governance model for identity, session control, and east-west restriction.

Why This Matters for Security Teams

HIPAA risk has moved beyond simple account control. For healthcare organisations, the practical problem is not just whether a user or workload can authenticate, but whether access can be bounded, observed, and ended fast enough to prevent lateral movement. That is why IAM teams and network teams are now being pushed into the same operating model: identity decisions affect containment, and containment depends on network enforcement.

This shift aligns with the direction of NIST Cybersecurity Framework 2.0 and the control logic behind NIST SP 800-207 Zero Trust Architecture, where trust is continuously evaluated rather than granted once at login. It also matches NHIMG’s research on Ultimate Guide to NHIs — Regulatory and Audit Perspectives, which shows how identity governance becomes more difficult when access spans cloud, on-premises, and ephemeral workloads. In healthcare, that matters because PHI exposure can occur through overly broad network paths even when authentication itself is sound.

Security teams often miss that HIPAA implementation failures are usually operational, not policy-based. In practice, many teams encounter overexposure only after a mis-scoped integration or stale session has already allowed unauthorized east-west access.

How It Works in Practice

In practical terms, the IAM team defines who or what is allowed to connect, while the network team defines where that connection can go, for how long, and under what conditions. For human users, that means aligning role-based access, device posture, and session timeouts with segmentation rules. For non-human identities, it also means tying workload identity to service boundaries so secrets, tokens, and certificates cannot be reused outside their intended scope.

Healthcare environments are especially sensitive because legacy applications, EHR integrations, medical devices, and hybrid cloud services often rely on broad internal trust. Current guidance suggests the safer model is to combine identity-aware policy with network controls such as microsegmentation, just-in-time access, and short-lived credentials. NHIMG research in The 2024 Non-Human Identity Security Report found that 88.5% of organisations say their non-human IAM practices lag behind or are only on par with human IAM, which helps explain why healthcare teams struggle to keep access contained once it is granted.

• Use IAM to issue least-privilege access and require strong identity proofing for privileged workflows.
• Use network policy to restrict east-west movement between applications, subnets, and clinical systems.
• Bind session duration to risk, especially for privileged or vendor-supported access.
• Rotate secrets and prefer ephemeral credentials where integrations allow it.

Operationally, this also means logs from IAM, PAM, firewall, and segmentation tools need to be correlated in SIEM so investigators can reconstruct both the authorization decision and the packet path. Controls described in NIST SP 800-53 Rev 5 Security and Privacy Controls support this layered approach, especially where access reviews, monitoring, and boundary protection must be evidenced for audit. These controls tend to break down when flat internal networks and shared service accounts make it impossible to enforce distinct trust zones for clinical, administrative, and third-party access.

Common Variations and Edge Cases

Tighter segmentation often increases implementation overhead, requiring organisations to balance reduced blast radius against clinical uptime, vendor connectivity, and maintenance burden. In healthcare, that tradeoff is most visible when biomedical devices, imaging platforms, or managed service providers cannot easily support modern identity-based enforcement.

There is no universal standard for this yet, so current guidance suggests prioritising the highest-risk pathways first: privileged admin access, remote support channels, and systems that can reach PHI repositories. NHS-like environments, hospital networks, and multi-site provider groups may need exceptions for life-safety systems, but those exceptions should be explicit, logged, and reviewed. NHIMG’s Top 10 NHI Issues is useful here because many of the same lifecycle failures that affect machine identities also affect healthcare access paths.

Best practice is evolving for third-party and non-human access, especially where vendor tooling depends on long-lived credentials or inbound network reachability. That is where the bridge between IAM and networking becomes essential: if the credential cannot be shortened, the network boundary must be narrowed; if the network boundary cannot be narrowed, the identity must be made ephemeral and highly auditable. In practice, the most difficult environments are those with unmanaged legacy segments, because identity policy cannot reliably compensate for a network that still trusts everything inside it.

Related resources from NHI Mgmt Group

• How can IAM and compliance teams work together on Salesforce governance?
• How do IAM and network security teams work together on privileged access?
• Why does digital commerce fraud force IAM and fraud teams to work together?
• How should security teams govern non-human identities for compliance?