Data security built for pharmaceutical standards

Data security is fundamental to Siguru AI. We work with regulated organisations that require clarity, control, and assurance around how data is handled.

Enterprise-grade security

Compliant with data security standards, with controls in place to protect sensitive and confidential information.

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Our security principles

Siguru AI is designed around a small number of clear principles

Your data remains yours

Human oversight and Control

Security supports governance

Designed to stand up to scrutiny

Your organisation retains ownership of all data at all times.

Uses data only for agreed purposes

Does not sell or monetise customer data

Does not share data for advertising or unrelated use

As expected, all data use is governed by contractual agreement.

Your data is protected at every stage – encrypted while it moves between systems and securely encrypted while stored. 

This ensures sensitive information remains confidential, safeguarded from unauthorised access and aligned with enterprise-grade security standards.

Access to Siguru is protected through secure authentication, Single Sign-On (SSO) and role-based permissions, ensuring only authorised users can access sensitive content while maintaining strong governance across your MLR process.

You decide exactly what Siguru can see and review. With configurable permissions, page-level controls and clear visibility settings, you maintain full oversight of access – ensuring alignment with your governance, privacy and compliance requirements.

We support your internal security and compliance reviews with full transparency. From technical documentation to security controls and governance processes, our team works closely with yours to ensure Siguru meets your enterprise and regulatory standards.

We are actively progressing toward ISO 27001 certification, formalising our information security management systems and controls. This commitment reinforces our focus on structured governance, risk management and continuous improvement across our platform.

Models are not trained on your data

Customer data is not used to train AI models or and does not leave our system.

Your content is processed solely to support your workflows and agreed use cases.