Security Sales & Integration May 2023 - 35

rium on large-scale experiments with AI. While
they all claim to promise that their technologies
will change the course of civilization, they
claim that the industry has not taken the steps
to ensure AI is not co-opted into nefarious use
and establish foundational rules and standards
governing the use of AI and AI-based systems.
Let's dig deeper into where we fi nd ourselves
today and what it portends for the electronic
security industry and systems integrators.
What Is Adversarial AI?
Machine learning and AI presents a new cyber-attack
surface requiring new skillsets, technologies,
and competencies to identify and
mitigate cybersecurity risks to public, industry,
and the nation.
Cybersecurity eff orts aim to protect computing
systems from digital attacks, which are
a rising threat in the Digital Age. Adversarial
machine learning, a technique that attempts to
fool models with deceptive data, is a growing
Cybersecurity eff orts aim to protect computing
systems from digital attacks, which are
a rising threat in the Digital Age. Adversarial
machine learning, a technique that attempts to
fool models with deceptive data, is a growing
threat in AI and machine learning.
Th e monitoring of AI-based technologies, or
Th e monitoring of AI-based technologies, or
adversarial AI, is based on technology that if
used for malicious purposes can endanger public
safety, health, and national security. Before
we go down the path leading to machines that
decide to exterminate mankind such as seen in
movies like " Th e Terminator, " let's talk about
real-world examples.
One of the best examples we see today is what
as virtual assistants.
Today, we see the next emergence of real AI
integrated into real-world applications currently
led by progressive high-tech fi rms like
San Francisco's OpenAI. A new set of industry
giants - including the defense industrial
base, automation specialists, car manufacturers,
robotics, help desk/call centers and medical
equipment manufacturers - all clamor to develop
the next best thing in AI.
Th ere appears to be no end to the possibility
of AI diminishing the need for humans to think
as we move to the smart machine era. When we
develop confi dence in AI and integrate it into
our daily lives we must also think of the adversarial
use of AI and its capability to disrupt and
negatively impact our way of living.
A group called the Future of Life Institute has
administered a petition supported by major AI
tech companies calling for a six-month moratosecuritysales.com
One
of the best examples we see today is what
is known as deepfake. Th is refers to the use of
AI-based models and computer algorithm capabilities
to simulate voice, expressions, facial
recognition, and computer vision facial images
contextually so that the ability to discern real
versus fake is not possible.
AI natural language models that now fl ood
the Internet as chatbots, or bots, have been successfully
programmed to alter data and make
mistakes in its algorithms in advance of presenting
it back to other systems and responses.
Next-Generation Technologies
Without going into a dissertation of how AI is
developed, there is a specifi c process known as
training AI. Th is involves taking a machine algorithm
and developing responses that classify
how the input is used, processed, and output.
Most AI cyber-attacks on AI frequently use
poisoning to train the data and labels to underperform
during the deployment. Th ink of
this as data being contaminated, rendering the
MAY 2023 Security Sales & Integration 35
There appears to
be no end to the
possibility of AI
diminishing the
need for humans
to think as we
move to the smart
machine era.
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Security Sales & Integration May 2023

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