AG

Anthony Gadient

Chief Executive Officer and Cofounder at Vali Cyber

Anthony Gadient has extensive work experience in various roles and industries. Anthony is currently the Chief Executive Officer and Co-Founder of Vali Cyber, a position they have held since July 2020. Anthony is also a Board Member at TrackStreet since 2020.

In the past, Anthony has held positions at Voci Technologies, Inc. from 2008 to 2020, where they served as the Executive Vice Chairman, Chief Strategy Officer, and Co-Founder before becoming the President and Chief Executive Officer. Anthony was also a Security Advisor at the University of Virginia in 2008.

Prior to that, Anthony was a Board Member at Renovis Surgical Technologies from 2009 to 2019. Anthony was a Group Director at Cadence Design Systems from 2004 to 2008. Anthony served as the Vice President at Neolinear Inc from 1997 to 2004.

Earlier in their career, Anthony worked as a DARPA PI at SCRA: South Carolina Research Authority from 1992 to 1997. Anthony was a Grad Student at Carnegie Mellon University from 1987 to 1992. Anthony started their career as an Officer in the United States Air Force from 1982 to 1987.

Anthony Gadient has a PhD in Electrical and Computer Engineering (ECE) from Carnegie Mellon University. Anthony also has an MBA in Finance from Wright State University and a Bachelor of Science in Electrical Engineering (BSEE) from the University of Virginia.

Location

Charlottesville, United States

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Vali Cyber

Vali Cyber, Inc. was founded in 2020 with the mission of addressing the specific security needs of Linux. Based on DARPA-funded research from MIT and CMU, we created ZeroLock™, a security product that provides comprehensive lockdown capability and unparalleled threat detection efficacy while consuming a mere fraction of the resources required by legacy Linux security tools. Our approach is built to put our clients in control—by automating the time-consuming (and error-prone) tasks of securing systems against attack, using state-of-the-art behavioral and AI/ML techniques to detect and stop threats, and automating recovery from attacks. Imagine detecting and fully remediating a ransomware attack in milliseconds… that dream has become reality.