Overview

December 14

Hybrid and remote employees in state and local government workforces are increasing IT’s focus on endpoint security to reduce risk. Short-staffed agencies are looking to maximize efficiencies across the board. Personal computers, laptops and other end-user devices are a crucial component to increase employee productivity and enable resiliency. Join Government Technology on December 14 at 10am PT/1pm ET as we discuss why choosing the right compute platform is critical to achieving desired outcomes across the enterprise.

You’ll learn:

-Why building security into hardware and firmware is a non-negotiable in reducing risk
-How IT efficiency and high user productivity starts with security
-What you should look at when building a modern endpoint strategy

Speakers

Deb Snyder — Moderator

Senior Fellow, Center for Digital Government

Deborah is an accomplished C-level executive, influencer and educator who has dedicated her career to improving state and local government services for the citizens of New York state through policy and technology innovation. She has a broad range of experience in government, policy, cybersecurity, privacy and information technology. She recently retired from the position of New York state’s chief information security officer, where she led the state’s cybersecurity programs and directed the NYS Cyber Command Center. She works with organizations and universities to strengthen cybersecurity defenses and preparedness, and to create and inspire the next generation of cyber leaders.

Stephen Pieraldi — Panelist

Distinguished Technologist , HP

Stephen Pieraldi is a security expert who works comfortably in hardware and software. Stephen has designed advanced Machine Learning-based detection systems and highly secure mobile to cloud-based protection systems. An internet search will highlight many of Stephen's accomplishments. His unique capabilities are now being used at HP, as a Distinguished Technologist while continuing to teach at U.C. Berkeley.

Webinar

Reducing Risk and Increasing Efficiency at the Endpoint