Security in HealthTech

January 15, 2026
4 min
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Security in HealthTech is about protecting systems and health data from exposure, misuse, and downtime while still moving quickly.

Privacy asks: “Should we collect and share this?”

Security asks: “How do we stop it from being accessed, altered, or lost?”

Why security is harder in HealthTech

HealthTech combines high sensitivity with high complexity.

You have more “attack surface” than you think

Apps, APIs, devices, cloud services, analytics, support tools, identity providers, and vendor integrations all add risk.

You’re selling into cautious buyers

Hospitals, clinics, insurers, and enterprise partners expect security proof, not promises. That means controls, assessments, and documentation.

The highest-ROI security moves (for most teams)

If you only do a few things, do these.

1) Tighten identity and access control

  • MFA everywhere
  • Least privilege by role
  • Clean offboarding
  • Separate admin access from daily accounts

2) Improve visibility

  • Centralized logs for critical systems
  • Alerts for suspicious access and privilege changes
  • Clear ownership for response decisions

3) Reduce “silent” vendor risk

  • Know which vendors can touch sensitive data
  • Limit integrations and scopes
  • Audit access and data paths regularly

For baseline foundations that cover both privacy and security hygiene, start with Minimum Viable Privacy (MVP)

Which assessment do you need?

“Security assessment” can mean a few different things. Here’s how to choose:

Threat and Risk Assessment (TRA)

Best for prioritizing your biggest risks and building a roadmap.

Start here: Threat and Risk Assessment (TRA)

Penetration Testing

Best for exploit-focused validation of real technical weaknesses.

Start here: Penetration Testing

Privacy Impact Assessment (PIA)

Best when security risk is driven by data flows and sensitive information handling.

Start here: Privacy Impact Assessment (PIA)

AI adds a security multiplier

If you’re using AI with health data, risks tend to increase: new vendors, new data flows, new retention concerns, and new outputs that can leak sensitive information.

Start here: Artificial Intelligence Readiness

Next step

If you want a clear plan (not a pile of tools), we’ll help you scope the right assessment and the smallest set of changes that materially reduces risk. Book a call