Glossary
Privacy by Design
An approach to AI agent development that embeds privacy protections and data minimization principles into the system architecture from inception.
What is Privacy by Design?
Privacy by design means considering privacy implications at every stage of agent development rather than bolting on protections afterward. This includes collecting only necessary data, implementing strong access controls, encrypting sensitive information, providing clear data usage policies, and building in capabilities for data deletion and user consent management. Privacy becomes a core system requirement, not an afterthought.
For AI agents, privacy by design extends to training data handling, inference-time data processing, logging practices, and third-party integrations. Agents built with privacy by design can demonstrate compliance with regulations like GDPR and CCPA while building user trust through transparent, respectful data practices.
Example
A healthcare AI agent is designed to analyze patient symptoms without storing personal identifiers. All processing occurs on encrypted data, logs contain only anonymized IDs, and the system automatically purges interaction data after 30 days unless explicitly retained for medical record purposes.
How Signet addresses this
Signet evaluates privacy practices as part of the Security dimension. Agents demonstrating privacy by design principles through architectural choices, data handling policies, and compliance certifications earn higher Security scores and build stronger overall trust.
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