Organisations in regulated sectors cannot afford a security incident. We build systems where security is not a final step, but a design principle.
security lives in
how we build
Every layer protects the layer beneath it.
At the heart sit your data and the AI model. Around them we build three protective layers: from behavioural limits around the model to the standards and legislation everything is tested against.
Secure by design, compliant by default.
At Researchable, security and compliance are not a separate project phase or an external audit moment. They are part of how we build software.
That means: specific measures in every phase of the software development lifecycle, tested against ISO 27001:2022, and a way of working set up for the requirements of regulated sectors such as healthcare, legal and finance.
On top of that comes a second dimension: the safety of the AI models themselves. What does a model do when the input deviates from what is expected? How do you prevent unwanted output in edge cases? That is a question of its own, and one where the need is significant.
From architecture to deployment.
Five principles shape how we build. Open a principle to see what it involves.
Security starts at the design, not at delivery.
Personal data and sensitive business data in line with GDPR, as an architecture requirement rather than a checkbox.
The systems we build are transparent and traceable.
AI models in production do not always behave predictably. We build a security layer around the model.
Our AI Backbone serves multiple partners. Security is the foundation there, not an optional layer.
The standards we work to.
Certified information security across the full SDLC.
Mandatory standard for information management in Dutch healthcare. (coming soon)
Privacy by Design as the standard in every system.
Network and information security for critical sectors.
Anticipating requirements for high-risk AI applications.
Algorithmic decision-making is auditable and traceable.
You recognise one of these situations.
You build or manage systems that process personal data, medical data or financial information.
You need to demonstrate to regulators, auditors or partners that your systems are secure.
You want to deploy AI in a regulated context and know the bar for reliability is high.
You deploy AI that influences decisions, and want to be sure those models behave as intended, even in cases you did not foresee in advance.
You have an existing system and want to know whether it meets current standards.
Related expertise
NEN 7510 (coming soon)
Information security specifically for healthcare.
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