Security and trust for medical device development platforms

The most sensitive data your medical device company holds is not your customer list or your financial records—it is your engineering decisions. Your design inputs, risk analysis, verification results, and design history represent years of investment, clinical insight, and competitive differentiation. If that data is exfiltrated, your next product launch is not just delayed—it may belong to someone else. If it is corrupted or lost, your regulatory submission history and the evidence base for your quality system goes with it.

This is the context in which the security posture of a medical device development platform must be evaluated. The question is not whether a platform has a security page on its website. The question is whether the platform has been independently audited against rigorous security frameworks, whether your data is encrypted in a way that protects it even from the platform provider, and whether the AI components of the platform have been assessed against standards specific to AI system trustworthiness.

Why engineering IP is uniquely sensitive

Medical device development operates in a long-horizon competitive environment. From initial concept to market clearance or approval, a device program typically spans three to seven years for complex products. During that entire period, the engineering decisions being made represent a differentiated view of a clinical problem, a technical approach, and a regulatory strategy that competitors would find valuable. Detailed design specifications for an implantable device or a novel diagnostic algorithm represent not just current competitive advantage but future IP that has not yet been protected by patents and clearances.

Beyond competitive sensitivity, engineering data carries regulatory significance. Your Design History File is the evidentiary basis for your FDA submissions. Your risk analysis is the document that demonstrates you identified and controlled patient safety risks. Your validation records are the evidence that your device performs as intended. This data is not just sensitive—it is the foundation of your regulatory standing. If its integrity is compromised, the downstream consequences affect not just business operations but patient safety and regulatory authority.

The implication is that a platform used to develop medical devices must be held to a higher security standard than enterprise software in most other industries. The combination of competitive sensitivity and regulatory significance creates a profile of risk that demands verifiable, independently audited security controls.

SOC 2 Type II—why independent audit matters

SOC 2 Type II is an independent audit performed by a licensed CPA firm that evaluates a service organization's controls related to security, availability, processing integrity, confidentiality, and privacy—the Trust Services Criteria defined by the American Institute of Certified Public Accountants. The Type II designation is critical: unlike a Type I audit, which evaluates the design of controls at a point in time, Type II evaluates whether controls operated effectively over an observation period—typically six to twelve months.

For a medical device development platform, SOC 2 Type II provides assurance that the platform's security controls are not just documented but actually operating. An auditor has reviewed the evidence—access logs, encryption key management records, incident response records, change management logs—and concluded that controls were effective over the audit period. That is materially different from a vendor self-attestation or a security questionnaire response.

From a quality system perspective, using a SOC 2 Type II-certified platform in your development process is itself a defensible supplier qualification decision. ISO 13485 requires that you evaluate and select suppliers who can meet your specified requirements—a platform that has been independently audited against a recognized security framework is a supplier that has demonstrated security capability, not just claimed it.

ISO 27001—information security management systems

ISO 27001 is the international standard for information security management systems. Certification to ISO 27001 requires that an organization implement a systematic approach to managing sensitive company information—identifying risks, selecting controls from ISO 27002, implementing those controls, and continuously monitoring and improving the security management system. Certification requires a third-party audit by an accredited certification body.

For a platform handling medical device engineering data, ISO 27001 certification demonstrates that security is treated as a managed discipline—not a configuration setting. The standard requires risk assessment of information assets, documented policies and procedures, training and awareness programs, physical and environmental security controls, access control management, cryptography policies, and supplier relationship security. Every control area is relevant to protecting the kind of engineering data that medical device companies need to trust to a development platform.

ISO 42001—AI management systems

ISO 42001 is the international standard for AI management systems, published in 2023. It specifies requirements for establishing, implementing, maintaining, and continuously improving an AI management system within an organization. For a platform that uses AI to support engineering decisions—generating documentation, surfacing regulatory context, analyzing design tradeoffs—ISO 42001 addresses questions that SOC 2 and ISO 27001 do not: Is the AI system's behavior governed? Are its outputs validated against intended use? Are risks from AI-generated errors identified and managed?

In medical device development, these questions are not abstract. If an AI component of a development platform generates documentation that is factually incorrect or suggests a risk classification that is wrong, the downstream consequences could affect submission quality and patient safety. ISO 42001 provides a framework for ensuring that AI components in a platform are subject to the same kind of systematic management as other business processes—not deployed as black-box systems with undefined governance.

MANKAIND holds SOC 2 Type II attestation and ISO 27001 and ISO 42001 certifications. For medical device engineering teams evaluating development platforms, these are the minimum standards of security and AI governance that justify trusting a platform with the engineering decisions that define your products.

AES-256 encryption and zero data retention

Encryption at rest using AES-256 is the current standard for protecting stored data. AES-256—Advanced Encryption Standard with a 256-bit key—is approved by the National Institute of Standards and Technology for protecting sensitive information, including classified government data. For a development platform, AES-256 encryption at rest means that even in the event of a storage breach, your engineering data is not readable without the encryption keys.

Zero data retention—the policy that data submitted to AI components is not retained, stored, or used for model training—is increasingly important for engineering IP protection. Many AI platforms retain user inputs to improve their models. For a medical device company submitting design specifications, risk analysis language, or clinical performance data to an AI assistant, retention by the platform creates IP exposure that may be difficult to quantify but is not difficult to imagine. A zero retention policy means that your engineering decisions stay in your environment—they are processed in the moment and not stored on infrastructure outside your control.

The combination of independently audited security controls, encryption at the current standard, and zero retention for AI components defines the trust posture that medical device engineering data demands. Security is not a feature of a development platform—it is the foundation on which everything else rests. If you cannot trust the platform with your most sensitive engineering decisions, you cannot trust the documentation that comes out of it.