Unique Cybersecurity Challenges & Compliance Expectations in Biotech
Biotech companies face distinct security challenges — from safeguarding irreversible genomic data to navigating overlapping regulations like HIPAA, FDA, GDPR, and MDR. This guide walks you through the real risks, architectural decisions, and compliance realities that shape modern biotech operations.
Why Cybersecurity Matters in Biotech
The biotech industry isn’t one-size-fits-all — and neither are its cybersecurity needs. This guide is tailored for platforms operating in key biotech sub-niches, each with its own data types, regulatory exposure, and architectural decisions.
This guide helps you:
Understand the security risks unique to biotech
Navigate frameworks like HIPAA, FDA SPDF, MDR/IVDR, GDPR, and ISO 27001
Explore practical strategies like threat modeling, secure SDLC, and cloud-native protections
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Backed by engineers, auditors, and compliance experts working directly with biotech platforms, this page compiles the must-knows for founders, security leads, and product teams building in the space.
Who This Guide Is For
Biotech is transforming healthcare — from AI-driven diagnostics to personalized medicine and direct-to-consumer testing. But with innovation comes a growing attack surface.
Clientele & Data Responsibility
Backed by engineers, auditors, and compliance experts working directly with biotech platforms, this page compiles the must-knows for founBiotech platforms operate within a complex web of stakeholders — each bringing unique expectations, regulations, and risks. From patients demanding privacy and control, to pharma and CROs requiring auditability and compliance alignment, every connection influences how data is secured and managed. ders, security leads, and product teams building in the space.
Understanding these relationships is critical: each stakeholder not only adds value, but also shapes the security and compliance obligations biotech companies must address from day one.
Compliance Landscape
This section isn’t just a list of regulations — it’s a map.​
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We explain what each standard is, when you become subject to it, what concepts you need to understand (like PHI or SaMD), and where to go to explore it further.
HIPAA – U.S. Health Data Privacy Law
HIPAA applies when your platform handles Protected Health Information (PHI) in the context of U.S. healthcare — typically when working with labs, clinics, hospitals, or insurers, collectively known as Covered Entities.
Many assume all health data is PHI. It’s not. PHI is health-related data that’s identifiable and processed within a covered entity context.
If your platform is a covered entity or processes data for one, HIPAA likely applies.
PHI = Health Info + Identifier + Covered Entity Context

Key Requirements:
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Sign Business Associate Agreements (BAAs)
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Implement security safeguards
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Conduct risk assessments and prepare for breach notifications
→Learn more about HIPAA, including examples of what counts as PHI, security requirements and access to our free HIPAA Compliance Checklist Guide.

What the FDA Expects from Cybersecurity: SPDF Guidance
When regulation applies, the FDA expects cybersecurity to be integrated into your development lifecycle. The Secure Product Development Framework (SPDF) outlines:
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Threat modeling
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Software Bill of Materials (SBOM)
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Vulnerability handling & patching
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Post-market monitoring
→Learn more about FDA & SPDF including examples of diagnostic triggers and a checklist for regulated cybersecurity practices.
FDA – U.S. Regulator for Medical and Diagnostic Products
The FDA regulates platforms that offer tools to diagnose, treat, or manage health conditions — whether through software, lab processes, or expert-reviewed reports.
For example, a company that sells DNA testing kits and provides general wellness insights (e.g., nutrition or sleep advice) is not subject to FDA.
But if the same company starts using that data to diagnose disease or guide treatment decisions, they may require FDA clearance.
If your reports support clinical decision-making, you’re likely offering a regulated diagnostic product.
Trigger = Clinical claim + U.S. market + diagnostic or treatment intent
GDPR – EU Regulation for Personal Data Protection
The General Data Protection Regulation (GDPR) applies when your platform processes personal data of individuals in the EU/EEA — regardless of where your company is located.
Personal data includes anything that can directly or indirectly identify someone — from names and emails to genetic, biometric, or health-related information.
Important: Health and genetic data are considered special category data under GDPR. This means they require explicit legal justification, heightened protection, and stricter control over how they’re accessed, processed, and stored.
What GDPR Expects from You
To process sensitive data lawfully, you must meet strict conditions, including:

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A valid legal basis (e.g., explicit consent, public interest, contractual necessity)
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Data protection by design and by default
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A defined Data Protection Officer (DPO) (in most cases)
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A process for Data Subject Rights (access, deletion, correction)
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Breach notification within 72 hours
→Contact us to learn more about GDPR, including how it applies to genomic data, cross-border transfers, and practical compliance steps for biotech platforms.

Device Classification Notes:
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For low-risk Class I devices, self-declaration may be enough — but even then, some structured QMS documentation is still required.
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For Class IIa, IIb, or III devices → this QMS typically needs to be certified by a Notified Body, and ISO 13485 is the most recognized path.
→Learn more about MDR/IVDR including how to determine if your platform qualifies as a regulated device, what classification it falls under, and what security documentation is required for CE marking.
EU MDR & IVDR – Cybersecurity for Medical and Diagnostic Devices in Europe
The Medical Device Regulation (MDR) and In Vitro Diagnostic Regulation (IVDR) are the European counterparts to FDA oversight — applying to platforms that offer medical or diagnostic functionality in the EU.
If your platform analyzes biological samples or supports clinical decisions for users in Europe, you may fall under MDR or IVDR — even if it’s software-only.
Key Concept:
These regulations now classify many digital diagnostics, genetic testing services, and other non-physical tools as regulated medical or in-vitro diagnostic devices.
Trigger = EU market + medical/diagnostic functionality or data reporting
ISO 27001 & SOC 2 – Proving Your Security Posture
ISO 27001 and SOC 2 are leading security frameworks used by biotech companies to demonstrate mature, auditable security practices — especially when handling sensitive personal, health, or genomic data.
While neither is mandatory, both are often requested by enterprise clients, partners, or investors as a sign of trust and operational maturity.
ISO 27001 is a certifiable international standard focused on building a formal Information Security Management System (ISMS).
PHI = Health ISOC 2 is a U.S.-based attestation report that evaluates how well your security controls meet specific Trust Principles like Security and Availability.nfo + Identifier + Covered Entity Context


Which one should you choose?
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If you’re scaling in the EU or globally, ISO 27001 may be preferred.
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If you’re focused on U.S. B2B clients, VCs, or HIPAA-covered partners, SOC 2 may be expected.
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Some companies pursue both to cover all markets.
→Contact us to discuss ISO 27001 & SOC 2, including what each involves and how to approach them depending on your growth stage and target market.
What Compliance Actually Demands in Practice
Most regulations — HIPAA, ISO 27001, SOC 2, FDA, MDR — don’t prescribe exact tools. But when you break them down, they all point to the same thing: your platform should be able to withstand real threats.
Whether driven by compliance, client expectations, or investor due diligence, biotech companies are expected to adopt a core set of security practices — not just to pass audits, but to genuinely reduce risk.
Below are the disciplines that make that possible.