A Case Study on Threat Intel Sharing Across Multiple Parties

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Presented by

Harold Byun, VP Products

About this talk

In the case of many security teams, there is a desire to share threat intelligence and fraud information across multiple parties. Some of the benefits of sharing this data are: - faster identification and confirmation of a given threat by participating security teams - less manual research and investigation by already stretched resources - a better view into frequency of a given threat or actor However, given the sensitive nature of this information and attribution, there's also a great deal of concern and resistance over sharing this information, who can access it and potential leakage. What if you could share this information without really "sharing" it? What if there was a method that allowed for confirmation of a given threat without attributing the information to a given party and without exposing data from any of the other participants? This webinar will provide an overview of threat intelligence sharing across multiple parties using privacy preserving analytics to secure the data, while still allowing organizations to query a shared data store. Join this webinar and learn about the following: - Common benefits of threat intel sharing - Privacy preserving analytics techniques to prevent data exposure in a shared data repository - Methods of data access control and entitlements to ensure confidentiality - Additional privacy preserving analytics use cases that facilitate secure data sharing
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