We use cookies to enhance your user experience and analyze our traffic. See also our Privacy Policy.

✕

Customize preferences

We respect your right to privacy. You can choose not to allow some types of cookies. Your cookie preferences will apply across our website.


Necessary

These cookies are required for the functionality of our website and cannot be switched off.

Analytics

We use these cookies to provide statistical information about our website - they are used for performance measurement and improvement. This help us improve the site by tracking which pages are most popular and how visitors move around.

background

AI & Data Protection

New Data Protection Challenges for Businesses

Smart compliance for the AI-driven era

AI and Data Privacy: Turning Risks into Competitive Advantage

Artificial Intelligence (AI) is rapidly transforming processes, products, and decision-making structures — including those related to data protection. Businesses and organizations face a dual challenge: on one hand, they need to develop AI applications that are efficient and innovative.
On the other hand, they must comply with the requirements of the General Data Protection Regulation (GDPR) and other national and European data protection laws.

Smart compliance for the AI-driven era

What Does This Mean for Businesses?

AI creates new opportunities for businesses — but also serious data protection challenges. Companies must address legal, technical, and ethical aspects to remain compliant and build trust.

Handling Personal Data in AI Training

AI systems often rely on large datasets, including customer, user, or employee information. This raises legal risks: meeting transparency requirements, respecting purpose limitation, and ensuring data subject rights such as access, erasure, or objection.

Automated Decisions and GDPR Article 22

AI can make or strongly influence decisions in credit scoring, hiring, or marketing. Under GDPR, individuals must understand these processes and be able to contest them — a challenge with complex models like generative AI or deep neural networks.

Building Trust Through Responsible AI Use

Compliance requires more than technical safeguards. Companies need a clear understanding of how AI uses and explains data. Transparent practices reduce risks and strengthen trust with users, customers, and regulators.

Get In Touch

Smart guidance for responsible AI use

Enabling Trustworthy and Compliant AI Solutions

logo

At Core, we help businesses unlock the potential of artificial intelligence without losing sight of data protection.

Our expertise goes far beyond technical audits or legal checklists. Year after year, we work closely with organizations to understand their processes, data flows, and innovation goals. This way, we reduce compliance risks, strengthen trust, and empower companies to use AI responsibly — turning regulatory challenges into opportunities for sustainable growth.

To help businesses stay compliant while harnessing AI, Core focuses on four critical areas that determine whether AI systems can be used legally, responsibly, and with trust.

Data Quality & Lawfulness

Use only lawful, necessary, and high-quality data for AI-related training.

Transparency & Explainability

Ensure AI outputs remain explainable and GDPR-compliant for all stakeholders.

Automated Decisions & Oversight

Keep humans in control of AI-driven decisions and ensure contestability.

Accountability & Risk Management

Assess risks, document processes, and maintain compliance safeguards.