Is a service that ensures the secure and compliant processing of personal and sensitive data in artificial intelligence environments. We help organizations identify, assess, and mitigate privacy risks throughout the AI lifecycle, from data collection and storage to model training and deployment.
Our approach combines regulatory expertise with technical safeguards to ensure compliance with data protection frameworks such as GDPR, ISO 27701, and emerging AI-specific privacy regulations. We design and implement policies, secure data handling procedures, and monitoring mechanisms that protect individual rights while enabling responsible AI innovation.
Privacy risk assessments for AI and machine learning (ML) models
This is an evaluation of potential privacy risks arising from the use of AI and ML models in your organization. The goal is to identify how personal and sensitive data is processed, stored, and shared within these systems, and to ensure compliance with relevant data protection regulations.
During the assessment, experts analyze data inputs, model training processes, and outputs to detect privacy vulnerabilities and recommend safeguards to protect individuals’ data rights.
Secure data handling and storage solutions to protect personal and sensitive data in AI-driven environments
This involves implementing technical and organizational measures for the safe processing, storage, and transfer of personal and sensitive data used by AI systems. The goal is to prevent unauthorized access, data leaks, and misuse.
Experts design and deploy secure data storage solutions, encryption methods, and controlled access mechanisms to ensure the confidentiality and integrity of data throughout the AI lifecycle.
Privacy impact assessments for AI and machine learning
This is a structured analysis to determine the potential privacy implications of AI and ML projects before they are deployed. The goal is to anticipate and mitigate risks to personal data protection and compliance.
During the assessment, specialists evaluate how data is collected, processed, and retained, providing recommendations to ensure lawful, fair, and transparent data handling in AI applications.
