The AI Governance & Strategy Summit: Palo Alto

As AI technologies become increasingly central to business strategy, protecting the underlying data, models, algorithms, and processes is more critical—and more complex—than ever. Companies must weigh the benefits and limitations of different IP protection methods, from maintaining trade secrets to pursuing patent filings, all while navigating evolving legal standards and competitive pressures.

This session discussed:

• Choosing between trade secret protection and patenting for AI innovations
• Safeguarding datasets, models, and algorithms from unauthorized use or disclosure
• Avoiding common pitfalls in IP strategy for rapidly evolving AI technologies
• Building internal processes to support long-term asset protection and compliance