The Cyber Defense eMagazine November Edition for 2023

proprietary data in your model. A well planned and executed security strategy can mitigate the
risk of compromise that comes with generative AI products.
• Develop use cases that reinforce trust—Demonstrate to the CEO, the board and other leaders
what is possible with generative AI. Also, highlight the privacy and intellectual property risks and
propose criteria for evaluating the value of use cases that will inevitably be brought forward by
other areas of the business. In time, generative AI could support enterprise governance and
information security, protecting against fraud, improving regulatory compliance, and proactively
identifying risk by drawing cross-domain connections and inferences both within and outside the
organization.
• Know data sources and data lineage—Monitor network traffic and shadow models to prevent data
from leaving the enterprise. Ensure that detection response is up to date. Database records,
system files, configurations, user files, applications, and customer data may all be at risk of
leakage in a public large language model environment. Not understanding or curating the training
data set can lead to inaccuracies, misinformation, discrimination, bias, harm, lack of fairness or
adversarial actions like data poisoning.
While the full impact of generative AI is evolving, one fact is clear: trust cannot be compromised.
Establishing and maintaining trust means the organization must ensure the security, privacy, and the
safety of individuals, communities, businesses, data and services. If stakeholders trust how businesses
are using generative AI, the business strategies predicated on that technology can thrive.
About the Author
Lisa O’Connor is Accenture's Managing Director, Global Security Research and
Development, a visionary leader who understands both the opportunities and
risks of emerging technologies to the business. Her role is to enable the security
and resilience of the future enterprise through a program of applied research,
co-innovating with the Global 2000, governments, academia and startups.
Her applied research programs in Washington, DC and Herzliya, Israel
include Generative AI, Quantum Security, Metaverse Security, Trustworthy AI,
Intelligent Secure Data Mesh, Ontological Mesh and Cyber Digital Twins.
She has over 35 years of information security experience, with over 16 years in
financial services, including serving as CISO at Fannie Mae. Her nine-year tenure at the National Security
Agency included special assignments to the White House Communications Agency and to the Surveys
and Investigations Staff of the House Appropriations Committee.
Lisa holds a Masters of Engineering Administration from George Washington University and a Bachelor
of Science of Electrical Engineering from Lehigh University. She is an avid rock climber.
Lisa can be reached online on LinkedIn at https://www.linkedin.com/in/lisaoconnor/ and at Accenture’s
company website https://www.accenture.com/it-it/about/leadership/lisa-oconnor
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