Andre Quintanilha

In my experience improving governance and compliance contributes especially towards bulding trust and confidence, by demonstrating to stakeholders, customers, and partners that the organisation is responsible, transparent, and accountable for its cybersecurity practices and outcomes. It is a requirement for most high-growth and forward-thinking organizations.

More important than understanding the data is ensuring the AI system is constantly monitored for potential contextual bias and trained on fair and representative data that reflects the diversity and complexity of the population and the context in which it is deployed. Contextual AI monitoring is fundamental for achieving fairness.

In my experience, a key factor for the success of data governance initiatives is stakeholders engagement and collaboration. Some of the benefits of internal collaboration for data privacy are: 1. It can improve communication and coordination among data owners, data users, data protection officers and IT staff, and ensure that everyone is aware of the data privacy policies and procedures. 2. It can foster a culture of trust and accountability, where everyone respects the privacy rights of data subjects and takes responsibility for protecting sensitive data. 3. It can enhance problem-solving and innovation, where different perspectives and skills can contribute to finding better solutions and improving data privacy practices.

One of the leading and most comprehensive data privacy tools available is Palqee. It offers a customizable birds eye view dashboard with key metrics and insights that every GRC team needs to manage privacy efficiently both locally and globally. The Palqee enterprise-grade suite adapts to any business requirements for workflow management, subject requests fulfilment, data mapping, third party risk management, tasks management, automated audits, and many other areas, creating a collaborative environment for internal teams to engage. The platform is updated on a bi-weekly basis, giving users always the latest frameworks available.

One thing I've seen helpful for professionals starting in the AI field is to contribute to open source projects. Active participation in open-source projects demonstrates your commitment and expertise. You can contribute code, fix bugs, and propose enhancements. It not only showcases your skills but also builds a network of like-minded professionals.

In my experience every audit report should start with a brief executive summary that provides a high-level overview of key findings, and the overall security posture in a few sentences. Avoid technical jargon when unnecessary, and use language that is easily understandable by both technical and non-technical stakeholders.