AI data becomes legal liability: Impact of the EU AI Act
The EU AI Act’s transparency rules hit August 2, 2025, and most organizations aren’t ready for the data disclosures, documentation, and legal risk they bring
Engineering Data Trust at Scale: A Conversation with Adrian Galvan, Senior Software Engineer
Adrian Galvan builds scalable, privacy-first integrations at Ethyca.
From Paper to Power: Reflections on the 2025 Consero CPO Summit
At the Consero CPO Summit, it was clear: privacy leaders are shifting from compliance enforcers to strategic enablers of growth and AI readiness.
JustPark Chooses Ethyca to Power Global Privacy and Data Governance
JustPark has selected Ethyca to power its privacy and data governance, enabling trusted, consent-driven data control as the company scales globally.
Closing the AI Accountability Gap: Solving Governance with Data Infrastructure
Without infrastructure to enforce it, AI governance becomes costly theater destined to fail at scale.
The Engineer’s Burden: Why Trustworthy AI Starts with the Data Layer
Trustworthy AI begins with engineers ensuring clean, governed data at the source.
Google Tag Manager Is Now a Legal Risk: German Court Ruling Redefines the Consent Perimeter
Key takeaways from a German court ruling that redefines consent requirements for using Google Tag Manager.
The Knowledge-Action Gap in AI: What Real Governance Requires
Most AI governance tools fail because they focus on observation over control -documenting risks without providing the infrastructure to act on them.
One Company, One Data Language: The Foundation of Trustworthy AI Innovation
Trustworthy AI starts with speaking the same data language across the organization.
Navigating the New Federal AI Landscape: Implications for Businesses and the Role of Trust
Aligning enterprise strategy with the next era of federal AI oversight.