TL;DR: Healthcare security teams are struggling to manage expanding code-based attack surfaces manually, with AI-driven development, legacy systems, and third-party integrations creating exposure that outpaces human workflows, according to Probely. The operational question is no longer whether automation is helpful, but whether security programmes can preserve availability, compliance, and response speed without it.
NHIMG editorial — based on content published by Probely: Transforming Healthtech Security Through Automation
Questions worth separating out
Q: How should healthcare security teams manage expanding API and web application attack surfaces?
A: They should automate discovery, scanning, and prioritisation so exposed services are identified faster than manual processes can achieve.
Q: Why do manual security processes fail in healthtech environments?
A: Manual processes fail because the environment changes too quickly.
Q: How do teams know whether automation is actually improving security operations?
A: Look for shorter exposure windows, more complete asset coverage, faster prioritised remediation, and audit records that show controls operated consistently over time.
Practitioner guidance
- Automate continuous discovery of external-facing assets Inventory APIs, web applications, and supporting services on a continuous basis so new exposures are not left to periodic manual review.
- Prioritise remediation by business criticality Rank vulnerabilities by the sensitivity of the data they protect, the availability impact of the service, and the likelihood that an exposed endpoint can be abused.
- Link security automation to compliance evidence Capture discovery, scanning, and remediation records in a form that supports audit review and demonstrates repeated control operation across changing systems.
What's in the full article
Probely's full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step discussion of how Snyk API & Web supports automated discovery and vulnerability management across healthtech environments
- Expanded examples of how automation reduces manual workload across APIs, web apps, and third-party integrations
- The article’s business case framing for why operational efficiency matters for compliance, scaling, and resource allocation
- Practical detail on how automated remediation guidance helps teams respond faster without disrupting healthcare operations
👉 Read Probely’s analysis of healthtech security automation and operational efficiency →
Healthtech security automation: can manual control keep up?
Explore further