Achieving software compliance is a fundamental requirement for organizations, but it is a long-term struggle that presents significant, ongoing challenges to overcome.
So, as regulators broaden cybersecurity requirements across sectors, sizes and technologies, IT leaders must weather a storm of overlapping compliance, while managing risk and maintaining robust governance.
Moreover, the rapid growth of AI has led to a complicated tangle of regulatory actions at regional, state and provincial levels, alongside guidelines from industry-specific regulators like those in healthcare and finance, all aimed at governing AI development and use.
How to cope with such a myriad of scenarios? While there exist specific solutions, it’s still very difficult to achieve a holistic vision. That’s why the most mature composable platforms can be the real deal: All the resources within an IDP can be used to build a diverse portfolio of use cases that, eventually, make you compliant with the most stringent regulations. In essence, such versatility helps organizations build compliance on their own, driving business continuity.
But this requires consistency, especially in fast-changing areas such as healthcare, insurance and finance, among others.
Software Compliance And Its Challenges
Ensuring software compliance is not a one time effort. Every phase of the software life cycle (SDLC) presents challenges that can hinder the innovation journey, slow down productivity, and put at risk against regulatory adherence.
By and large, organizations must take into account hurdles related to:
- Validation: The review process can take up long periods, because even the smallest slip can lead to big penalties; such thoroughness overextends release times.
- Fragmentation: Scattered information becomes a nightmare for coherence, undermining compliance effectiveness and complicating audit trails.
- Continuous updates: Highly regulated industries happen to renew compliance requirements very often, forcing teams to keep up and aggravating their cognitive load.
- Lack of automation: Managing compliance with manual controls not only slows down workflows, but also increases the odds of severe mistakes that could unnecessarily inflate development cost.
Navigating A Sea Of Regulations
Imagine your organization’s software as a ship. Software compliance is like a ship navigating clearly marked — but often narrow and complex — shipping lanes (regulations) within a busy harbor. Regulators are the harbor masters enforcing these lanes and ensuring all ships stay within those established paths to avoid chaos and trouble.
Here follow some of the most notable regulations in software development.
General Data Protection Regulation (GDPR)
The GDPR is an EU regulation that creates an harmonized legal framework for protecting the personal data and privacy of EU residents through principles such as data transparency, minimization, accuracy, integrity and accountability.
Integrating all the core GDPR principles into the software architecture by default can be tricky, but failures can result in fines up to €20 million or 4% of the organization’s global revenue.
IEC 62304 (Life Cycle of Medical Device Software)
The IEC 62304 is an international standard that regulates the development and maintenance of medical device software. In SaMD development, compliance is the most critical part of the development life cycle: If non-compliant, the final product can endanger patient safety, so it must be taken extremely seriously.
Challenges mostly deal with maintaining rigorous documentation, highlighting clear traceability, assessing crucial risks and iterating verification, especially when managing Software of Unknown Provenance (SOUP). The operational overhead can be annoying, but noncompliance can lead to regulatory rejection of the medical device, preventing the product from being legally sold or maintained in key markets.
Digital Operational Resilience Act (DORA)
The DORA is an EU regulation that aims at strengthening the security and resilience of financial entities (banks, insurance, payment institutions), so that they can withstand and recover from ICT-related disruptions.
Operational integration and cross-functional testing are the most significant challenges due to the heavy effort required to identify and map third-party services. However, organizations caught out on noncompliance face fines up to 2% of global annual turnover for the most serious violations.
Network and Information Security Directive 2 (NIS2)
The NIS2 is an EU directive that expands cybersecurity requirements, covering more organizations and sectors to improve supply chain security, simplify reporting and enforce stricter measures and penalties across Europe.
Validating a compliance strategy for NIS2 is particularly difficult because the security requirements are sometimes ambiguous, vary across EU countries, lack standard ways to measure progress, require specialized expertise, and threats are constantly changing. Fines for noncompliance with NIS2 can be up to €10 million or 2% of annual global turnover for essential entities.
European Union Artificial Intelligence Act (EU AI Act)
The EU AI Act is the world’s first comprehensive legal framework on AI implementation. It aims at fostering a trustworthy, responsible use of AI by outlining a risk-based approach with specific AI use cases.
Most concerns arise from the risk posed by uncontrolled AI systems, which rely on fragmented, unreliable data and operate without established controls, policies or guardrails. Penalties range from fines up to €35 million or 7% of global annual turnover for prohibited AI practices, and up to €15 million or 3% of turnover for high-risk system violations.
Use Mia-Platform To Build Your Software Compliance
Building software compliance is like preparing an expedition vehicle for diverse, risky terrains and environments.
Imagine you can rely on a highly flexible vehicle to have near total coverage: It comes with preloaded, certified modules such as arctic heating or jungle filtration, but you can add and customize your own components to face any kind of challenge.
Similarly, a platform can ensure compliance as long as it integrates compliance checks into its foundation by design, enforcing strict access controls, defining clear governance policies and monitoring audit logs.
Mia-Platform offers that degree of modularity and security by design that iterates the automation of fundamental verification steps, shifting compliance from burden to quality accelerator.
The key elements that allow this shift are:
- Software Catalog: A comprehensive registry of all assets that represents a digital twin of the organization, facilitating the centralization and maintenance of resources, as well as the definition of custom schemas and semantic relationships between internal and external sources.
- AI-Ready Data: AI systems are only as good and reliable as the data they consume. Preparing data for AI, aligning it with specific use cases, is critical to ensure AI systems don’t hallucinate or violate regulations and security standards.
- Embedded Policies: Defined guardrails, policies and operational controls that ensure both developers and AI systems operate safely and aligned with organizational standards.
- IT Asset Governance: A unified view of systems, APIs, services, data and metadata with descriptions, hierarchies and dependencies. Teams can use custom dashboards with automatic alerts and recommendations that strengthen visibility, accountability and dependencies.
- AI-Powered Quality Assistant: An AI-powered assistant that acts as copilot during the development journey. It improves requirements, test design and system test coverage, accelerating the verification process with suggestions based on regulatory frameworks.
Software Compliance By Design Example
Mia-Platform can transform compliance from a manual, document-heavy burden into an automated, compliance-by-design process by embedding regulatory requirements (whether for NIS2, DORA, GDPR and so on) directly into the software life cycle via standardized scaffolding.
Instead of managing disconnected Excel sheets, developers simply select a pre-approved template, such as “Privacy Sensitive”, from the software catalog, which automatically provisions the correct repositories, libraries and compliance-aware CI/CD pipelines tailored to that specific regulation. For example:
- Automated traceability and governance: The IDP creates a live graph that links requirements to code commits, test results and digital signatures in real-time, serving as a single source of truth for auditors.
- Dynamic policy enforcement: Using policy-as-code, the system continuously monitors development; if a component violates a rule — for example, if test coverage drops below a safety threshold or if vulnerability scans detect high-severity CVEs — the pipeline automatically blocks the release, ensuring that software is always audit-ready without manual intervention.
- Accelerated compliance and auditing: The integrated AI assistant and MCP server enable much faster compliance checks. For instance, you could ask the assistant: “Verify that all services in this project comply with the company’s security policy requirements for authentication, authorization and data protection”.
Takeaways
Ensuring software compliance is one of the most important, yet difficult quests of the SDLC. One single mistake could make your organization face penalties and fines from regulators.
Since all-in-one solutions are not feasible, the best approach is to build your own strategy according to specific use cases, embedding compliance by design. The most mature IDPs, such as Mia-Platform, can help you achieve this goal with platform engineering best practices, AI-ready data, and composable applications and resources.
This way, you can speed up development and delivery cycles while ensuring adherence to the strictest regulations.
