Threat modeling is the structured exercise of walking through a system to ask "what can go wrong here?" before an attacker does it for you. You enumerate the assets worth protecting — protected health information (PHI) stores first, then recordings, audit logs, credentials — draw the trust boundaries where data crosses from one zone of control to another, list the plausible attack paths against each component, and rank them so the team fixes the worst exposures first. STRIDE (spoofing, tampering, repudiation, information disclosure, denial of service, elevation of privilege) is the common framework for systematically generating those threats rather than relying on whatever the team happens to think of.
For a telemedicine platform the high-value targets are fairly predictable, which makes the exercise tractable: recording stores full of clinical video, audit logs, admin consoles, integration credentials into the electronic health record (EHR), and the real-time video path itself — the TURN and SFU infrastructure that relays media between participants. Modeling these explicitly surfaces the unglamorous risks teams miss, like an over-broad admin role or a recording bucket that is encrypted but world-listable.
The payoff is that threat modeling is not busywork separate from compliance — its output feeds the HIPAA Security Rule risk analysis (required under 45 CFR §164.308) almost directly. A good model turns an abstract compliance obligation into a concrete, prioritized engineering backlog. The common mistake is doing it once at launch and filing it away; threat models go stale the moment the architecture changes, so revisit them whenever you add a major component, integration, or data flow.
