Foley's Jennifer Rathburn's take on the question: "Could the Internet of Things Put Your Security At Risk."

Rathburn Discusses IoT Security on Milwaukee Public Radio


Partner Jennifer Rathburn was interviewed on Milwaukee Public Radio’s ‘Lake Effect’ show for a segment titled “Could the Internet of Things Put Your Security at Risk?” 

During the 13-minute interview, Rathburn discussed a range of cybersecurity issues with internet-connected devices and what consumers and businesses need to watch out for when they connect their devices together using internet and data. 

She explained what security researchers learn at hacker conferences, as well as the importance for consumers to understand how data is collected and used through their connected devices (including Fitbits) and what rights consumers have to control that data. She also touched on Big Data and how companies aggregate consumer data, the Internet of Things Cybersecurity Improvement Act of 2017, the importance of consumers making device updates and the number one thing for consumers to do to avoid being hacked. 

Listen to the full interview here

Please Join Us at the RIMS CyberRisk Forum in Vegas on September 6 - 8th.

Please Join Us at the RIMS CyberRisk Forum in Vegas on September 6 - 8th.

Cybersecurity: A Team Sport Played Beyond IT
This panel will share data breach findings that will provide the appropriate context for cyber risk discussions within most organizations. Panel members will share how, together, they created a cyber ecosystem and operationalized the TIE framework. TIE incorporates Technology and Insurance solutions in parallel with integrating cyber risk management into an organization’s Enterprise-wide risk governance. This framework allows for iterative and recursive management and monitoring of cyber risks.


  • Augustine Doe, CEO, Outsource Risk Management LLC
  • Joseph Abrenio, Founder, CyberSquire, LLC
  • Will Durkee, CISSP, ITPM, Director of Security Solutions, TSC Advantage
  • Yvette Conner, Chief Risk Officer, Focal Point Data Risk