The Cyber Defense eMagazine November Edition for 2023

Let’s explore how businesses can navigate the delicate balance of adoption, security, and trust in the era
of GenAI.
Why Business Leaders Aren’t Yet Sure of GenAI
So, how does this technology work, and why does it warrant concern for businesses? GenAI models
undergo extensive training on vast image and text datasets from various origins. Users start the process
with an initial prompt to the platform which serves as a guide for generating content. Given that these
models are still in their learning phases, however, the way data is utilized on the backend remains
uncertain.
It’s important to recognize that any shared information effectively becomes part of the platform’s training
data, influencing future outputs. While ChatGPT assures consumers of not training their software with
personal or corporate data, OpenAI faces multiple high-profile data leaks. For example, Samsung faced
a proprietary data leak with ChatGPT. Meanwhile, others criticized the way it learns from content in a
manner that potentially breaches copyright.
Enterprises are right to approach this technology with a healthy dose of caution. Consider that higher
adoption of GenAI and subsequent integration with third-party platforms demand additional assessment
from cybersecurity teams. As a result, their focus is no longer confined to internal measures but to also
scrutinizing the security of third-party software and its affiliates. Additionally, another emerging threat
involves injection attacks targeting customer support chatbots, which could potentially grant unauthorized
access to enterprise systems. If unaddressed, the potential threat vector with this technology is
considerable.
Interestingly, 45% of organizations believe that if they fail to implement the right risk management tools,
GenAI could potentially erode trust within their organization. Therefore, before onboarding this
technology, business leaders are doing their homework to ensure a safe and responsible adoption. This
meticulous approach to adoption seeks to strike a balance between the remarkable potential of GenAI
and the imperative of safeguarding trust.
The Duality of GenAI
There’s great promise and profound risk for enterprises venturing into the realm of GenAI. To navigate
the associated risks and challenges, organizations must forge forward-thinking policies that protect
employees and data.
For instance, companies will likely need to address GenAI-specific risks by revising policies regarding
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