Data, Privacy, and Security

Data privacy is not just a policy for Narrativa—it is a core principle. Your enterprise data stays fully under your control. We do not store, share, or use your data to train our models. All information is processed securely and remains accessible only to authorized users or teams within your organization.

Our platform is built with strict adherence to privacy, security, and GxP compliance standards. We go beyond basic legal requirements by providing an enterprise-grade agentic AI solution designed to meet the highest expectations for confidentiality and regulatory alignment.

With Narrativa, you can automate content creation with confidence, knowing your proprietary data is protected at every step.

Data handling

Narrativa treats your proprietary data with the utmost care. Our platform is built to uphold the confidentiality and integrity of your information through rigorous security and privacy practices.

Data protection

We employ enterprise-grade safeguards, including encryption, strict access controls, and role-based permissions, to ensure your data remains protected at all times.

Privacy assurance

Narrativa complies with global data privacy regulations, including GDPR, and maintains a strong commitment to regulatory alignment. Our platform is designed to meet the highest standards of privacy, giving you confidence in every interaction.

What is data sensitivity?

Data sensitivity refers to the degree of confidentiality that certain information requires. Examples of sensitive data include any information that has the potential to identify a person, including personal addresses or medical conditions. The General Data Protection Regulation (GDPR) defines sensitive data as a “special category” that includes racial information, political opinions, personal beliefs, trade union membership, genetic data, biometric data, health data, and sexual orientation.

Protecting sensitive data is critical for both legal and strategic reasons. Regulations such as GDPR, the UK Data Protection Act, and the US PSQIA impose strict requirements, with non compliance leading to significant financial penalties. Beyond regulation, strong data protection enhances a company’s reputation, builds customer trust, and reduces exposure to cyberattacks. Implementing safeguards like encryption, anonymization, and incident response plans not only protects users but also limits legal liability in the event of a breach and helps organizations respond quickly without major operational disruption.

Data protection frameworks, particularly the GDPR, establish clear principles for handling personal information responsibly. These include ensuring lawful and transparent processing, limiting data collection to specific purposes, minimizing the amount of data collected, maintaining accuracy, restricting storage duration, and guaranteeing security. For sensitive data, explicit user consent is required, along with risk assessments such as Data Protection Impact Assessments. In complex sectors like pharmaceuticals, where large volumes of sensitive data are processed, companies often rely on specialized providers like Narrativa to automate anonymization and maintain consistent compliance while reducing operational burden.

Key points:

– Industries like healthcare and government handle higher volumes of sensitive data

– Protecting data helps avoid legal penalties, reputational damage, and cyber threats

– Security measures include encryption, anonymization, and incident response planning

– GDPR principles guide lawful, minimal, accurate, and secure data processing

– Explicit user consent and risk assessments are required for sensitive data

– Specialized solutions like Narrativa help automate compliance and data protection processes