Using Data to Secure Networks: Optimizing Individual Privacy While Achieving Strong Security

To fully realize the benefits of information technology, big data, analytics and the Internet of Things, individuals must be confident that their devices are secure and their data is used responsibly and in a fashion that protects their privacy. Securing data and networks often requires the processing of data—raising questions for policymakers, advocates, experts and businesses about how that can be accomplished in a way that protects the privacy of individuals. While some believe that privacy and security are goals that can be pursued in tandem, others hold that tradeoffs are necessary.

Please join us for a lively debate about the issues surrounding the processing of data for security. This discussion—hosted by the Hoover Institution in Washington and sponsored by Lawfare, the Center for Democracy and Technology, and Intel Security—will feature recognized experts who will explore questions about how and to what extent data and networks can be secured in a way that also enhances privacy.

Chris Young, senior vice president and general manager of Intel Security will open the event with remarks about this important issue. A panel discussion will follow, moderated by Benjamin Wittes of Lawfare, which will include: Greg Nojeim, senior counsel and director of CDT’s Freedom, Security and Technology Project, Susan Hennessey of Brookings and Lawfare, Daniel Weitzner of MIT’s Computer Science and Artificial Intelligence Laboratory, Laura Donohue of Georgetown Law, and David Hoffman of Intel.

Lunch will be served. Space is limited, and RSVPs are required.