A commentary published on SuspectFile by security researcher Marco A. De Felice challenges a pattern that runs through post-incident analysis across industries: organizations spend significant resources tracing who carried out an attack while giving far less attention to why so much sensitive data was available to steal in the first place. For independent healthcare practices, the observation maps directly onto a compliance problem that predates any given threat actor.

The structural problem De Felice identifies

De Felice describes what he calls structural fragility — a condition in which organizations accumulate data far beyond operational need, centralize it in ways that amplify exposure, and retain it longer than any defensible business purpose requires. The result is that when a breach occurs, the blast radius reflects years of unchecked data-governance decisions, not just the skill of whoever found the opening.

The argument is not that attribution is useless. It is that attribution without root-cause correction produces a cycle: patch the exploited vulnerability, name the group responsible, and wait for the next incident without addressing the underlying architecture that made the incident damaging.

Why this framing matters for healthcare specifically

Healthcare organizations operate under HIPAA's minimum necessary standard, a rule that directly addresses the data-accumulation problem De Felice describes. In practice, minimum necessary is often treated as an access-control requirement — limiting who can view a record — rather than as a data-lifecycle discipline that governs what is collected, how long it is held, and whether centralized repositories are structured to limit lateral exposure.

The gap between the rule's intent and its operational implementation is significant. A practice that collects granular patient data for a workflow that no longer exists, retains it indefinitely because deletion introduces perceived risk, and stores it in a flat database accessible to a wide set of internal accounts has a structural fragility problem regardless of whether it has strong perimeter defenses.

What this signals for incident response planning

The SuspectFile analysis suggests that incident response plans built primarily around detection and recovery miss an earlier intervention point: data minimization before an event occurs. Practices that have not recently audited what protected health information they hold, where it lives, and whether retention schedules are enforced are carrying risk that no endpoint tool resolves.

Three areas where De Felice's framing translates directly into compliance practice:

Where this lands for independent practices

Independent practices rarely have the resources to conduct deep threat-actor attribution after a breach. What they can control is the volume and distribution of data an attacker would find. The regulatory framework already points in this direction — HIPAA's privacy and security rules together create an obligation to limit collection, restrict access, and dispose of records on a defined schedule. Treating those obligations as a technical checklist rather than an ongoing operational discipline is the condition De Felice's analysis describes.

The broader implication is that breach prevention cannot be outsourced entirely to detection tooling. Data governance decisions made during normal operations determine the ceiling on breach severity well before any threat actor appears.