Deep Instinct Appoints Deborah Chase Hopkins to Its Board of Directors

Deep learning cybersecurity pioneer taps ex-Citigroup executive’s
expansive Fortune 500 leadership to provide market insights and further
advance global expansion

NEW YORK–(BUSINESS WIRE)–Deep Instinct, the first company to apply Deep learning to
cybersecurity, today announced the appointment of Deborah Chase Hopkins
to its Board of Directors. Hopkins’ appointment further solidifies Deep
Instinct’s emerging role as a global leader in Deep learning-powered
cybersecurity platforms and technologies.

Hopkins has served in several high-level C-suite roles, including Chief
Operations and Technology Officer at Citi. Prior to her retirement from
Citi in December 2016, she was founder and CEO of Citi Ventures based in
Silicon Valley and Citi’s first Chief Innovation Officer. In that role,
she and her team focused on partnering with emerging companies in the
cybersecurity and technology sectors for deployment in the financial
services industry. These partnerships included direct equity investments
by Citi Ventures and support to these companies enabling them to scale
at a highly accelerated pace.

Prior to Citi, Hopkins served as Chief Financial Officer at both The
Boeing Company and Lucent Technologies. She was also General Auditor at
General Motors and followed as Vice President of Finance at GM Europe in

Deborah Chase Hopkins is currently a member of the Board of Directors at
Union Pacific, Marsh & McLennan, and Virtusa, and is an Advisory Board
Member at M3 Biotechnology Inc., SalesHero and an Executive Fellow at UC
Berkeley’s Haas School of Business. She also serves as Treasurer at St.
John’s Hospital Foundation and as a Trustee for Silicon Couloir both
located in Jackson, WY.

“In my various roles, across multiple industries, I’ve had tremendous
opportunities to participate in and lead transformations critical to
long established companies as they face the challenges of the 21st
century. The greatest of those challenges is cybersecurity. The
advancements in AI and deep learning that Deep Instinct has implemented
in their solutions for cybersecurity is a critical component of those
transformations,” said Hopkins.

“As the first company to apply Deep learning technology to
cybersecurity, we take great pride in the work that we’re doing for our
enterprise clients by being a trendsetter in this growing field,” said
Guy Caspi, CEO and Co-founder at Deep Instinct. “Debby’s past
accomplishments and experiences at several leading companies are a
perfect fit for our ongoing efforts in the cybersecurity space and a
testament to the pioneering work our teams do every day. I look forward
to working with her as we continue to bring the very best in real-time
threat prevention to market.”

“As the cybersecurity landscape continues to evolve and shift toward a
new reality steeped in artificial intelligence, we need true visionaries
on our Board who understand the implications this has for enterprise in
the future,” said Lane Bess, Executive Chairman of the Board, Deep
Instinct. “Debby is one of the brightest in her field and we’re
confident that her industry experience, business acumen and innovative
thinking will be instrumental in providing Deep Instinct with valuable
counsel as it continues its global expansion. This is a fantastic
company with true vision and we’re all excited about her joining the

About Deep Instinct

Deep Instinct is the first company to directly apply Deep learning to
cybersecurity. Deep learning technology is inspired by the human brain’s
innate ability to learn, adapt and react. Just as the human brain learns
to identify, Deep Instinct’s artificial deep neural network learns to
prevent all types of cyber threats and its prediction capabilities
become fully instinctive. As a result, any types of malware, both known
and first-seen malware, zero-days, ransomware and APT attacks from any
kind are predicted and prevented in real-time with unmatched accuracy
and speed anywhere in an enterprise ecosystem, including Network,
Endpoint and Mobile, enabling robust multi-layered protection.

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Jaime Tero

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