Using Data To Secure Networks

Thursday, April 14, 2016
Hoover Institution, Washington DC
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istock

The Hoover Institution hosted "Using Data To Secure Networks: Optimizing Individual Privacy While Achieving Strong Security" on Thursday, April 14, 2016 from 12:00pm - 2:00pm. The event video is below.

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 in responsibly and in a fashion that protect their privacy. Many commentators characterize privacy and security as a trade-off, values to be balanced against each other. But is it possible for the pursuit of privacy and security not to be a zero-sum game and for the two goals to be pursued tandem? Indeed, can the collection, analysis and use of big data sometimes even serve as a powerful tool both to secure networks and to protect privacy?

This event—hosted by the Hoover Institution in Washington and sponsored by Lawfare, the Center for Democracy and Technology, and Intel Security—looked at how to improve cybersecurity in a fashion that also enhances privacy. Despite rapid, transformational changes in the data ecosystem, fair information practice principles continue to provide recognized, proven guidance for using data to secure data networks in a fashion that respects the privacy of individuals. The pooling and analysis of threat information and network traffic–done properly–can help create safer, more private network spaces for users.

The event featured an address by Chris Young, senior vice president and general manager of Intel Security and was followed by a panel discussion, moderated by Benjamin Wittes of Lawfare, and includes: 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.

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