What are the best practices for minimizing privacy risks in software systems?

In my opinion, the best thing you can do is to collect the least possible information that would allow you to reach your objective. Protect the information you collect. Do your due diligence on privacy laws and requirements that apply to you. Take legal counsel if necessary. Have an iron clad privacy policy. Be transparent on what you collect when asking for consent.

It is imperative to strategically make a decision what needs to be collected and where what data will be stored and how. The rule of thumb is to collect only the data that is aligned with business strategies and needs. Moreover once data is collected the first thing should be done before doing any kind of manipulation is to anonymize the data which will bring down potential risk of data breach significantly.

Minimizing privacy risks in software systems involves several best practices. Firstly, adopt privacy-by-design principles, embedding privacy measures from the outset. Limit data collection to what's necessary and anonymize or pseudonymize where possible. Implement robust encryption protocols to secure data both in transit and at rest. Regularly update and patch software to address vulnerabilities. Provide transparent privacy policies, obtain explicit consent for data collection, and offer users control over their data. Conduct regular audits and risk assessments to ensure compliance with privacy regulations and standards. Collaboration with legal and privacy experts is crucial to stay abreast of evolving privacy landscape.

Para minimiza??o de dados é aconselhado o uso de view model (ou DTO's) tanto para input de informa??o (front para api) quanto para output (api para front). Com view model é possível proteger as propriedades reais do domínio da aplica??o, reduzir trafego de transa??o e ocultar informa??es sensíveis.

Opt-In Mechanisms: The recommendation for opt-in mechanisms aligns with the principle of proactive user involvement. For instance, when introducing a new feature that involves personal data processing, opting users in by default with an easily accessible opt-out option demonstrates a commitment to transparency. Clear Opt-Out Paths: Alongside opt-in mechanisms, provide clear and easily accessible opt-out paths. This ensures that users who initially opted in can easily change their minds if they become uncomfortable with the data processing, fostering a sense of control over their privacy.

To opt in have a clear and transparent path in place for easy to understand for a user along with the benefits which should encourage users to opt in. Of course the same should also be applied should a user choose to opt out. Having clear and transparent data collect policy would definitely help users to make a decision easier and quicker.