5 Privacy Trends for 2025: What to Watch For
Heraclitus said that “The only constant in life is change,” but...
Read NowGet an overview of the simple, all-in-one data privacy platform
Manage consent for data privacy laws in 50+ countries
Streamline and automate the DSAR workflow
Efficiently manage assessment workflows using custom or pre-built templates
Streamline consent, utilize non-cookie data, and enhance customer trust
Automate and visualize data store discovery and classification
Ensure your customers’ data is in good hands
Key Features & Integrations
Discover how Osano supports CPRA compliance
Learn about the CCPA and how Osano can help
Achieve compliance with one of the world’s most comprehensive data privacy laws
Key resources on all things data privacy
Expert insights on all things privacy
Key resources to further your data privacy education
Meet some of the 5,000+ leaders using Osano to transform their privacy programs
A guide to data privacy in the U.S.
What's the latest from Osano?
Data privacy is complex but you're not alone
Join our weekly newsletter with over 35,000 subscribers
Global experts share insights and compelling personal stories about the critical importance of data privacy
Osano CEO, Arlo Gilbert, covers the history of data privacy and how companies can start a privacy program
Upcoming webinars and in-person events designed for privacy professionals
The Osano story
Become an Osanian and help us build the future of privacy!
We’re eager to hear from you
Assessing and Governing AI from a Privacy Perspective
No doubt about it, artificial intelligence is here to stay. We are getting past the hype and starting to see how organizations are adopting AI. Even cautious groups who have taken a "wait and see" approach are beginning to dive into AI. From a data privacy perspective, it is time to pay attention.
How can privacy teams be proactive in assessing where AI intersects with personal information across the organization, helping to architect the right governance framework, and identifying and mitigating risk? In this webinar, we talk about how to navigate and process personal data in a compliant way and keep personal data secure in the new world of AI.
As AI starts to get real, you will walk away from this webinar with guidance on assessing the impact of AI on data privacy and building a solid foundation for governance.
How to assess the impact of using and developing new AI tools and where they overlap with personal information.
Risks to watch out for, including updates on enforcement activity and scrutiny by data protection supervisory authorities in the U.K. and EU.
Working together with stakeholders across the business to establish policies and safeguard personal data.
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.