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AI AI Impact Assessments: What Companies Need to Document Before Deploying AI
Most companies are moving too fast with artificial intelligence.
SignalTrace Shows the Next Privacy Fight Is Vehicle and Device Tracking
A new surveillance technology being promoted to law enforcement is raising a major privacy question: what happens when license plate readers no…
OAIC Finds Healthcare Firms Misused Tracking Pixels, Exposed Sensitive Health Data
Australia’s privacy regulator has drawn a hard line around healthcare website tracking.
Why Transparent AI-Era Privacy Notices Matter for Consumer Education
Artificial intelligence quietly is starting to power everything from personalized recommendations to autonomous decision-making, clear communication about data practices isn’t just a…
AI Gartner Says AI Governance Comes Before AI Hype
AI is moving faster than most organizations can govern it. That is the real warning behind Gartner’s latest comments on artificial intelligence.…
GOVERNANCE RISK AND COMPLIANCE Illinois Eavesdropping Statute A Huge Data Privacy Risk
The Illinois Eavesdropping Law Is becoming a data privacy weapon.
COMPLIANCE The $12.5M Web Tracking AARP Facebook Settlement
So what is the costly reality of hidden web tracking?
AI Governance Tools
AI governance tools are becoming necessary because AI is spreading faster than most companies can track it.
AI Updating Data Privacy Tools for the AI Era: Why Zero Trust Needs a Data-Centric Boost to Slash Cybersecurity Risks
In the high-stakes world of cybersecurity, numbers don’t lie.
AI AI Inventory: The First Step in AI Governance
Most companies do not have an AI governance problem because they built one powerful artificial intelligence system.
NIST AI Risk Management Framework
The NIST AI Risk Management Framework launched in January 2023 with language so carefully neutral it could have been written by committee…
DATA Data Embassies vs. Data Corridors: A Compliance Officer’s Guide to the Cross-Border Data Transfer Framework
Data embassies are one of the most discussed — and most misunderstood — concepts in global data governance.