Best practice is to address security during product design, not after release. Teams should involve security, IT, legal, risk, and regulatory stakeholders early, then apply layered controls such as certificates, multi-factor authentication, encryption, and code signing. That approach is stronger when organizations also review existing systems, because older products may need remediation to meet compliance and risk goals.
Security by design starts with the system boundary, not the post-release patch list
Embedding security into healthcare systems works best when teams treat it as an architecture and product requirement from day one. That means defining trust boundaries, identifying where protected health information, clinical actions, and administrative access intersect, and deciding how authentication, authorization, encryption, logging, and update handling will work before implementation begins.
A useful way to think about this is that security decisions made early are cheaper and safer than controls added after workflows, integrations, and legacy dependencies are already fixed. In healthcare, that matters because a design mistake can affect confidentiality, integrity, availability, and patient safety at the same time.
Security by design also aligns well with formal development practices such as OWASP SAMM, which helps teams build security activities into the software lifecycle instead of leaving them to a final review.
Which controls matter most in healthcare system development
For healthcare systems, the strongest baseline is layered control selection rather than reliance on any single safeguard. Certificates support strong system-to-system trust, multi-factor authentication reduces account compromise risk, encryption protects sensitive data in transit and at rest, and code signing helps ensure software integrity across build, deployment, and update paths.
Those controls need to be chosen with the healthcare use case in mind. A clinical workflow may require rapid access, device interoperability, and vendor integration, so the design question is not simply whether a control exists, but whether it is enforceable without breaking care delivery or creating unsafe workarounds.
Implementation guidance from broader control catalogs such as NIST SP 800-53 Rev 5 Security and Privacy Controls is useful here because it maps directly to access control, authentication, audit, configuration management, and system integrity requirements.
Why legacy systems and integrations change the design problem
New healthcare platforms rarely operate in isolation. They must connect to older EHR components, imaging systems, lab interfaces, identity services, third-party modules, and sometimes unmanaged devices. That means embedding security is partly about new build decisions and partly about reducing the exposure of inherited systems that cannot be redesigned quickly.
Teams should expect uneven security maturity across the environment. A system can be well designed on paper and still remain fragile if it depends on weak credential handling, permissive interfaces, unverified updates, or undocumented integrations. In practice, the security posture of the whole service is only as strong as the least controlled dependency.
That is why identity assurance and strong authentication patterns from NIST SP 800-63 Digital Identity Guidelines are relevant where healthcare applications rely on user sign-in, federation, or phishing-resistant access.
Risk and Threat Considerations
Healthcare systems face concentrated risk because design weaknesses can expose patient data, disrupt clinical availability, or allow unauthorized changes to records, orders, or medication workflows. Security failures also spread quickly through integrations, which makes poor boundary control and weak update practices especially costly.
Failure mechanism: Attackers and insiders often exploit weak authentication, overbroad trust between systems, insecure update paths, or poorly protected secrets to move from one component into higher-value clinical and administrative assets.
Impact: The result can be data breach, service disruption, fraud, integrity loss in patient records, or operational delay that directly affects care delivery and regulatory exposure.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP SAMM and NIST SP 800-53 Rev 5 set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP SAMM | Software Assurance Maturity Model | Security should be built into the development lifecycle for healthcare systems. |
| Recommendation — Embed security activities across design, build, verification, and deployment. | ||
| NIST SP 800-53 Rev 5 | AC-2 — Account Management | Healthcare systems depend on tightly governing user and service access. |
| IA-2 — Identification and Authentication (Organizational Users) | Healthcare access depends on strong user authentication and identity assurance. | |
| SC-13 — Cryptographic Protection | Healthcare data and interfaces need encryption for confidentiality and integrity. | |
| Recommendation — Define and review account lifecycle controls for clinical and support access. Require strong authentication for staff and privileged users. Apply approved cryptography to protect sensitive data in transit and at rest. | ||
Practitioner Guidance
What to prioritise: Start with the controls that reduce systemic blast radius, not the controls that are easiest to document. In healthcare, that usually means strong identity assurance, least privilege, signed software updates, and encryption around the most sensitive data flows.
What to verify: Before release, confirm that security controls work across the real integration path, including legacy systems, vendor interfaces, service accounts, and emergency-access workflows. A control that works in a lab but fails during clinical operations is not yet a control.
Practitioner takeaway: The best healthcare security posture comes from making security a design constraint for workflows, integrations, and lifecycle management, not a checklist applied after the product is already in use.
Related resources from NHI Mgmt Group
- What are the best practices for building a data security program around AI agents that can access sensitive systems?
- What should teams do when they cannot find a vendor with AI and LLM security built for healthcare use cases?
- What are the best practices for reducing healthcare data breach risk across people, systems, and access governance?
- How should healthcare security teams prioritize attack surface management when they must keep patient-facing systems available around the clock?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 26, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
