This is a guest post from Keragon, a healthcare platform that specializes in building HIPAA-compliant automations without code.

Organizations in healthcare, fintech, and other sectors rely heavily on APIs (Application Program Interferences) to connect systems, share data, and automate their workflows.
The challenge is that many of these integrations involve data governed by strict compliance regimes, like HIPAA for protected health information (PHI) and PCI DSS for payment card data.
Designing API connections that meet both HIPAA and PCI requirements means more than just encryption and access control. Meeting these standards requires understanding how data flows between systems, identifying the risks that arise at each step, and creating secure connections.
This blog explores the steps needed to create secure, compliant API connections to meet both HIPAA and PCI DSS, while not hindering innovation.
HIPAA and PCI DSS are often discussed separately because they apply to different types of data. HIPAA governs how organizations handle PHI, while PCI DSS governs how payment card data is processed, stored, and transmitted.
However, many organizations handle both kinds of data. For example, a medical billing platform that processes both insurance information (PHI) and credit card payments (PCI) would need to meet both requirements. An integrated telemedicine platform might collect both patient health data and payment details during a single session, meaning both requirements apply simultaneously.
While the two frameworks are distinct, they share several core principles:
The overlapping nature of HIPAA and PCI means that a well-designed API security model can address both requirements in a more unified way.
To create API connections that satisfy both HIPAA and PCI, the architecture must integrate security and compliance at every step. This includes authentication, authorization, transport security, data handling, and auditing. Below are key design considerations:
The first step is to identify the types of data the API will handle. Classify the data into categories such as PHI, PCI data, or non-sensitive operational data. Once segmented, design the API to segregate sensitive data at both the logical and physical levels. For example:
This segmentation not only limits exposure but also simplifies your scope for PCI and HIPAA audits.
Both HIPAA and PCI DSS emphasize the importance of strict access control. APIs should use strong authentication protocols such as OAuth 2.0 or OpenID Connect, preferably combined with multifactor authentication for administrative users. Token-based authentication should use short-lived, scoped tokens that restrict access to specific operations.
Authorization should be role-based and fine-grained.
A medical billing clerk, for example, might need access to PHI but not to raw payment data. A payment processor might require card data but not medical details. Each API call should be screened against the caller’s privileges giving data.
Encryption is a cornerstone of both HIPAA and PCI DSS compliance. APIs should enforce TLS 1.2 or higher for all communications. Certificates must be managed securely, with automated renewal and revocation processes in place. Data stored in databases, object storage, or backups should be encrypted using AES-256 or equivalent algorithms.
In addition to encryption, sensitive fields within API payloads can be tokenized or encrypted at the application layer.
For instance, a credit card number could be replaced with a token that maps back to the real number in a secure vault. Similarly, PHI fields can be concealed when possible to minimize risk exposure.
One of the easiest ways to reduce compliance risk is to limit what data is collected in the first place and how long its saved.
Both HIPAA and PCI DSS encourage minimizing the storage of sensitive data to only what is necessary for legitimate business purposes. APIs should be designed with minimal data exposure in mind:
By embedding data lifecycle management into the API architecture, you reduce both security risk and compliance overhead.
Every API connection that handles PHI or PCI data must stand up to an audit.
Logging should capture who accessed what data, when, and through which endpoint. These logs must be protected from tampering. Audit trails should include authentication events, authorization decisions, and data transfer details.
Real-time monitoring systems should be in place to detect anomalies such as unusual access patterns or repeated failed login attempts. Integration with security information and event management (SIEM) platforms enables centralized visibility and faster incident response.
In many cases, APIs connect systems owned by different organizations.
For HIPAA, any vendor or partner that handles PHI must sign a Business Associate Agreement (BAA). For PCI DSS, service providers must meet the same security standards as the merchant. When designing API connections that bridge multiple organizations, every participant in the data chain must meet the necessary compliance requirements.
Include compliance verification steps in the onboarding process for partners, and ensure that data exchanges are governed by formal agreements defining responsibilities, breach notification procedures, and security requirements.
Modern organizations often use APIs to automate data workflows across multiple systems.
For healthcare and financial operations, this requires HIPAA compliant workflow automation that also respects PCI DSS boundaries. Automation tools must move data between systems without human intervention while maintaining encryption, auditability, and access control.
A practical framework for compliant automation includes:
When properly implemented, HIPAA compliant workflow automation can streamline your operations while preserving strict data protection standards. This enables real-time compatibility without sacrificing compliance or security.
Even organizations with strong security postures can fall into traps when designing APIs for dual compliance. Here are a few common pitfalls and strategies to prevent them.
It is tempting to design parallel systems, one for PHI and one for payment data. However, this often leads to duplicated effort, inconsistent controls, and blind spots in data flow visibility. Instead, use a unified compliance architecture where core principles such as encryption, logging, and access control are applied consistently across both domains.
Failing to map how sensitive data moves through APIs is a common audit finding. Every endpoint, parameter, and downstream system should be documented. Use automated data flow diagrams to visualize and verify compliance boundaries.
Developers sometimes make APIs too permissive for the sake of flexibility. Overly broad endpoints or wildcard permissions can inadvertently expose sensitive data.
To prevent this, apply the principle of least privilege to every API resource and operation.
Encryption is only as strong as the keys protecting it. Inadequate key rotation, shared credentials, or hard-coded secrets can undermine compliance. Implement centralized key management using hardware security modules (HSMs) or cloud key management services (KMS) with strict access control and audit logging.
Third-party integrations often represent the weakest link in compliance. Always vet vendors for HIPAA and PCI compliance, and ensure they maintain up-to-date certifications. Include ongoing compliance verification in vendor management processes.
Designing a compliant API is only part of the process. Ongoing testing and validation are critical to maintaining compliance over time. Organizations should perform:
Automated testing frameworks can integrate with CI/CD pipelines to ensure that every code change undergoes compliance validation before deployment. Continuous validation reduces the risk of accidental non-compliance and makes audits smoother.
As cloud computing, AI, and data interoperability evolve, the need for APIs that handle sensitive data securely will only increase.
Emerging technologies such as confidential computing, zero-trust architecture, and secure enclaves will further enhance the ability to meet dual compliance standards. APIs of the future will not only transport data securely but also enforce compliance dynamically based on policy context and user behavior.
Organizations that invest in a compliant-by-design approach today will be better prepared to adapt to new regulations, technologies, and business models tomorrow. The most successful companies will view HIPAA and PCI not as limitations but as frameworks that promote trustworthy innovation.
Designing API connections that satisfy both HIPAA and PCI requires a thoughtful blend of security engineering and regulatory awareness. The goal is not simply to check boxes but to create an environment where sensitive data moves safely between systems.
By focusing on data classification, secure authentication, encryption, auditability, and vendor management, organizations can build APIs that meet the highest standards of privacy and security. Combined with HIPAA compliant workflow automation, these design principles let organizations connect their healthcare, financial, and operational systems without compromising compliance.