In the age of AI, GDPR compliance without a management system exposes companies to increasing risks, experts point out

The accelerated advancement of digitalization and the increasing use of technologies such as artificial intelligence have exponentially increased the volume of data processed by companies and, with it, the risks associated with privacy, experts point out that the adequacy to the General Data Protection Law (General Data Protection Law) can no longer be treated as a legal checklist, under penalty of exposing organizations to significant vulnerabilities.

Recent data indicate that Brazil remains among the countries most affected by information security incidents, including, with a significant increase in cases of data leakage in recent years.In the first half of 2025 alone, 314.8 billion malicious activities were registered in Brazil, which demonstrates a need to expand regulatory oversight and increase requirements on companies in all sectors.

For Marcos Gomes, founding partner of Daedalus, consulting OSTEC Group specialized in ISO certifications and Security and Privacy standards, the main mistake of organizations is still in the way they face compliance. “There is a false sense of security when the company believes that being adequate to the LGPD means only having documents, policies or terms reviewed. Without a structured management system, this compliance is superficial and does not sustain itself in the day-to-day operation of”, he says.

In addition to legal risk, the absence of a structured approach directly impacts incident response capacity and data governance. Recent surveys also show the growth of judicialization involving the LGPD, reflecting a more mature and rigorous environment regarding the protection of personal data.

According to Daniel Cadorin, also founding partner of Daedalo, the challenge is to transform privacy into an ongoing process within companies.“A LGPD requires a change of mindset. It is not just about fulfilling a legal obligation, but implementing a risk-based data management culture, with clear processes, continuous monitoring and distributed accountability”, he explains.

This move becomes even more critical with the advancement of artificial intelligence, which expands the use and circulation of sensitive data. Without proper governance, companies are more exposed not only to sanctions, which can reach 2% of revenue, but also to reputational damage loss of trust from customers and partners.

Where should businesses start?

According to experts, to get out of theory and advance in the effective application of the General Data Protection Law, it is recommended to follow some essential steps, such as:

1. Map the data lifecycle: identifying what data is collected, where it is stored, how it is used and with whom it is shared is the first step in any compliance strategy.

2. Classify risks and prioritize actions: not all data has the same level of sensitivity. It is critical to assess risks and focus efforts on the most critical areas of the business.

3. Structure clear policies and processes: more than formal documents, it is necessary to ensure that privacy and security policies are applied in practice and understood by teams.

4. Define internal responsibilities: data governance requires well-defined roles, including those responsible for monitoring, incident response and relationship with the National Data Protection Authority.

5. Invest in culture and training: employee awareness is one of the pillars of data protection.Human errors are still among the leading causes of incidents.

6. Monitor and evolve continuously: audits, periodic reviews and continuous improvement are essential to keep up with regulatory and technological changes.

In that context, the adoption of privacy management and data protection systems becomes a competitive differential. Structures based on governance, risk management and continuous improvement allow organizations to not only meet regulatory requirements, but also to position themselves more securely and strategically in an increasingly digital trust-driven market.

“Companies that treat LGPD in a structured way can go beyond compliance. They gain efficiency, strengthen their reputation and create a solid foundation for innovation, especially in a scenario increasingly driven by” data, concludes Marcos.