Security & Compliance (LGPD)

AI systems introduce an entirely new class of security challenges. Traditional application security is necessary but insufficient when your architecture includes autonomous agents, large language models, and automated decision-making pipelines. I bring a rare combination of deep security expertise and hands-on AI implementation experience to help organizations protect their AI investments without slowing down innovation.

For LGPD and GDPR compliance, I design data governance frameworks specifically tailored to AI workflows. This includes data lineage tracking, consent management for training data, model input/output logging, and automated compliance monitoring. Every AI agent in your pipeline gets purpose-built guardrails that enforce data protection rules at the execution level, not just in policy documents.

My security approach covers the full attack surface of modern AI systems: prompt injection defenses, model output validation, API security for agent-to-agent communication, secrets management, and access control for sensitive training data. I also implement observability layers that give your security team real-time visibility into what your AI agents are doing and why.

The goal is governance that enables rather than restricts. Companies that treat AI security as an afterthought end up with brittle systems that break under regulatory scrutiny. Companies that build security and compliance into the foundation from day one move faster because they have confidence in every automated decision their AI systems make.