GDPR
AI Act amendments: What companies need to know about upcoming revisions
The upcoming revisions to the EU AI Act will impact AI compliance, risk classification, foundation model regulation, enforcement mechanisms, and industry-specific requirements, requiring companies to adapt their strategies accordingly.
Reforming GDPR: Future Changes to European Data Protection
Reforming GDPR involves updates to compliance, enforcement, AI integration, data transfers, and individual rights, ensuring the regulation remains effective and adaptable to technological advancements and emerging challenges.
How to Handle Do Not Sell My Personal Information Requests
Learn how to effectively implement 'do not sell my personal information' requests, understand legal obligations across states, and protect consumer privacy with compliant systems and best practices.
What Are Dark Patterns? Legal and Business Implications
Dark patterns are deliberate interface tricks that manipulate users into unintended decisions, exploiting psychological biases to increase engagement, subscriptions, or data sharing, often at the expense of user trust and privacy.
How to combat a cookieless future
Learn effective strategies to navigate and succeed in a cookieless future by building first-party data, leveraging contextual advertising, implementing server-side tracking, and ensuring privacy compliance.
Data Dimensions for Privacy and Compliance Management
Understanding the dimensions of data—volume, velocity, variety, veracity, and more—is essential for effective data analysis, privacy compliance, and building robust information architectures in modern organizations.
What Are Data Governance Tools and Why You Need Them
Discover how data governance tools are essential software solutions that help organizations manage, protect, and ensure compliance of their data assets in today's complex regulatory landscape.
How to Build a Data Governance Framework for Your Organization
Implementing a comprehensive data governance plan involves establishing clear policies, roles, technology, and phased strategies to ensure data quality, compliance, and organizational accountability across all data assets.
Subprocessors under GDPR: Legal obligations and requirements
Understanding subprocessors and GDPR requirements is essential for compliance. Proper management, contracts, and ongoing oversight help mitigate risks and ensure responsible data processing across your organization.
