5 Privacy Trends for 2025: What to Watch For
Heraclitus said that “The only constant in life is change,” but...
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Why does privacy have an inside track when it comes to setting policy and governing AI in an organization? Why not? Who else in the business survived GDPR readiness and the constantly shifting world of privacy law and lived to tell the tale?
Learn the areas where privacy can lean in on establishing a comprehensive and achievable AI strategy that supports compliance and ethical use while promoting growth and innovation.
Assessing the relationship between data and AI across the business
Developing responsible AI products
Preparing for regulatory compliance and adapting to frequent iterations
Build consumer trust and keep it
Educating users about the risks and responsibilities of using AI
Heraclitus said that “The only constant in life is change,” but privacy professionals don’t need to turn to ancient Greek philosophy to grasp this concept. We can just use our eyes and observe our colleagues, industry, governments, and world. Data privacy is constantly changing, and 2025 won’t be an exception.
As of this writing, the CAM4 security incident remains the largest data breach in history. The attack on the website exposed nearly 11 billion records, including users' names, email addresses, sexual orientations, chat transcripts, and IP addresses.
In the article “Privacy Risk Quantification: How and Why to Do It Effectively,” we went over the basics and best practices of privacy risk quantification and a few relevant industry benchmark frameworks. If you are implementing privacy risk quantification at your organization, one of the most important steps is tailoring a scoring methodology to align with your business.