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Writer's pictureMartin Snyder

SaaS Security for Biotech: 5 Essential Steps to Protect Sensitive Data

In the biotech industry, the adoption of SaaS (Software as a Service) applications has streamlined research, collaboration, and data management across organizations. However, with sensitive intellectual property, research data, and regulatory compliance requirements such as GDPR and HIPAA at stake, securing these SaaS environments is critical. Whether handling clinical trial data, proprietary research, or patient information, biotech organizations must ensure their SaaS tools are secure and compliant.

How can biotech companies harness the benefits of SaaS while keeping data secure and maintaining compliance with industry regulations? Here are five essential steps to protect your SaaS environment.




Step 1: Create a Complete Security Map

In biotech, protecting sensitive research, clinical data, and intellectual property starts with understanding the tools your organization is using. Shadow IT — when employees adopt SaaS tools without IT’s knowledge — can introduce significant risks, especially if these tools do not meet necessary security standards or regulatory compliance.

Creating a security map involves identifying all SaaS applications used across your organization. Use SaaS discovery tools to detect all tools in use, whether officially approved or not. This is essential for establishing a clear view of the applications handling sensitive data, enabling you to assess and address potential security vulnerabilities before they impact critical research or compliance obligations.

Step 2: Clarify Responsibility for SaaS Security

In a biotech organization, SaaS security is a shared responsibility that must be clearly defined across departments. IT, legal, compliance, research teams, and even third-party vendors all play a role in protecting sensitive data. Without clearly defined roles, gaps in security oversight can emerge, putting proprietary information and research at risk.

To mitigate this, biotech organizations must establish and enforce clear responsibilities. IT should manage access control measures such as Single Sign-On (SSO) and Multi-Factor Authentication (MFA). Research teams and lab personnel need to be aware of data-handling best practices, while compliance teams ensure that SaaS vendors align with regulations like HIPAA and GDPR. Clearly defining these roles and responsibilities ensures that all teams are accountable and that no aspect of security is overlooked.

Step 3: Ensure SaaS Applications Meet Compliance Standards

Biotech companies must adhere to stringent regulations, including HIPAA (for protecting patient health information) and GDPR (for handling personal data). SaaS applications used to manage clinical data, patient information, or research data must meet these regulatory requirements to avoid penalties and data breaches.

Before integrating any new SaaS tool, ensure it complies with your organization’s regulatory standards. This includes verifying that the application encrypts data both in transit and at rest, offers proper access controls, and provides audit trails. Compliance with these frameworks isn’t optional — especially when dealing with data that is critical to patient safety or intellectual property. Regular reviews of SaaS vendors are also essential to ensure ongoing compliance as regulations evolve.

Step 4: Continuously Monitor and Assess Risks

In the fast-paced world of biotech, data security risks are constantly evolving. Continuous monitoring of SaaS applications is crucial to maintaining security and protecting sensitive research and patient data.

Implement tools that provide real-time monitoring of your SaaS environment. This ensures you can detect and address potential vulnerabilities or unauthorized access as soon as they arise. Regular risk assessments, combined with continuous security monitoring, are key to keeping your data safe. Additionally, staying on top of emerging threats and vulnerabilities, such as those identified by Common Vulnerabilities and Exposures (CVEs), helps your organization stay ahead of potential security issues.

Step 5: Leverage SaaS Security Posture Management (SSPM)

With the complex nature of biotech research and compliance requirements, misconfigurations in SaaS applications can lead to data breaches or non-compliance. SaaS Security Posture Management (SSPM) tools help biotech organizations continuously monitor and manage the security configurations of their SaaS tools, ensuring they meet the organization’s security and compliance policies.

SSPM tools automatically detect misconfigurations or excessive permissions, helping prevent unauthorized access to critical research data or patient information. By ensuring that your SaaS applications are configured properly and remain in alignment with regulatory standards, SSPM tools reduce the risk of non-compliance and data breaches.

Top 5 SaaS Security Solutions for Biotech

Here’s a breakdown of some of the top SaaS security tools tailored for biotech organizations, with insights into their strengths and weaknesses.

Pros:Waldo Security helps biotech organizations discover all SaaS applications in use, ensuring that they meet compliance and security standards like HIPAA and GDPR. Waldo is particularly strong in SaaS discovery and governance, mapping applications to your security policies and identifying any gaps in authentication protocols, such as SSO and MFA.

Cons:While Waldo is effective for SaaS discovery and compliance alignment, it lacks comprehensive posture management. For biotech organizations that need real-time monitoring of SaaS configurations, additional SSPM tools may be required to fully secure critical applications.

Pros:Zscaler excels at securing network access to SaaS applications, helping biotech organizations control which tools are accessible. Zscaler is ideal for ensuring that unapproved applications do not gain access to sensitive research or clinical data by managing network traffic to SaaS services.

Cons:While Zscaler is highly effective at managing network-level security, it does not provide granular insights into specific SaaS applications. For biotech companies that require visibility into user activities or detailed app configurations, Zscaler may need to be complemented with a tool that provides deeper SaaS application insights.

Pros:Varonis is an excellent choice for biotech organizations that handle sensitive intellectual property or clinical data. It provides powerful data classification and monitoring, ensuring that sensitive information is only accessed by authorized users. Varonis also includes posture management features, making it easier to ensure that SaaS applications like Office 365 are properly configured.

Cons:Varonis’s SaaS security capabilities are limited to a few key platforms, such as Office 365. Biotech organizations with a more diverse SaaS stack may need additional tools to ensure full posture management coverage across all their applications.

Pros:Obsidian Security offers advanced security and threat detection capabilities for enterprise-level SaaS applications commonly used in biotech, such as Salesforce and Office 365. It provides real-time analytics to detect potential threats, identify misconfigurations, and ensure that user activity complies with regulatory requirements like HIPAA and GDPR.

Cons:Obsidian’s primary limitation is its inability to discover SaaS applications that aren’t connected to the organization’s identity provider. Biotech companies that need full visibility into Shadow IT applications may find this to be a gap in their security strategy.

Pros:Netskope is a leader in SaaS Security Posture Management (SSPM), offering biotech organizations deep visibility into SaaS configurations. It’s particularly valuable for ensuring that applications like Google Workspace and Microsoft 365 are properly secured and configured according to regulatory standards. Netskope’s ability to detect and correct misconfigurations helps protect sensitive research and clinical data.

Cons:Netskope’s discovery capabilities are limited to known applications, making it less effective for detecting unauthorized SaaS tools. Biotech organizations may need to pair Netskope with a discovery tool to gain full visibility into their SaaS ecosystem.

Conclusion

For biotech organizations, protecting sensitive research, clinical data, and intellectual property is critical. By following these five steps — mapping your SaaS usage, clarifying responsibilities, ensuring compliance, continuously monitoring risks, and leveraging SSPM tools — you can secure your SaaS environment while ensuring compliance with regulations like HIPAA and GDPR.

Choosing the right SaaS security tools is essential. Whether you select Waldo Security for discovery and compliance or Netskope for posture management, it’s important to choose a solution that fits your organization’s specific needs. SaaS security for biotech is not a one-size-fits-all solution, but with the right tools and strategies, you can confidently protect sensitive data while advancing scientific and medical innovation.


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