The document discusses cybersecurity threats from AI and outlines several types of threats: 1) Corrupt learning and data sabotaging, where incorrect or altered training data causes AI systems to produce unreliable results. 2) Deepfaking identities and businesses, using AI to generate fake audio or video to impersonate individuals or executives. 3) Compromised secrets, through advanced AI cracking analytics leaked via employee data sharing. 4) Advanced malware powered by AI that could severely disrupt digital life through cyber attacks.

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AI
And
Cyber-security
Threats

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You have locked your door and
went out to a shopping mall. In
the meanwhile if someone can
break into your home and steal
your valuables. That is a threat
to the home security. Right?
What is
cyber-security
threat?

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Similarly, if someone or a
group of people can maliciously
break your online security and
steal or manipulate your digital
information such as financial
details, corporate details,
personal details that’s a threat
to your cyber security.
What is
cyber-security
threat?

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AI is nothing but algorithms,
codes and how you are using
them. As a matter of fact, there
will be good usage as well as bad
usage of AI. And AI is bound to
create more deadly threats to our
digital life than there is already.
We need to be aware of the
threats AI can bring to us over
internet.
Good AI Bad AI

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Before your machine learning
algorithms starts working for
you they need to be trained to
perform. This is just like how
we learn. For an Amazon Alexa
to answer your questions it
needs to be trained with a lot of
training data.
Corrupt learning and
data sabotaging

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But if your system is fed with
fake/ incorrect/ altered data
your system will learn garbage
and produce garbage.
Corrupt learning and
data sabotaging

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This can entirely disrupt the
decision making and operations
in businesses. For companies
that depend on AI based
automation for supply-chain and
sales, a sabotaged data set may
result in drastic under or
oversupply and overproduction
of products leading to huge loss.
Corrupt learning and
data sabotaging

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BEC or Business Email
Compromise is something in
which attackers pose as CEOs
and other senior-level managers
to trick people in charge of
banking accounts to make
fraudulent transfers in the guise
of closing a deal or otherwise
getting business done.
Deepfaking your business

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And now attackers are using AI
powered audio calls to deepfake
their targets. Experts believe we
will see increased use of
AI-powered deepfake audio to
carry out BEC-style attacks in
2020.
Deepfaking your business

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Facial recognition technique is a
more secured way of protecting
your sensitive information on
digital platform. Financial
institutions are rapidly building
AI-powered facial recognition
based authentication
mechanisms that can confirm
online identity using mobile
cameras and stored image of the
person.
Deepfaking your identity

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It is suspected that mechanism
to dupe these systems are in use
that uses AI to deepfake
identities.
Deepfaking your identity

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More advanced data
masking will be needed to
shield the customer analytics
as well as other secret
corporate information
leaking via employee social
data sharing. Advanced AI
will be used to crack the
analytics. More advanced
rapidly evolving AI
algorithms will be needed to
counter that.
Compromised secrets

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AI-powered malware
Anytime in the coming days we
suspect to see advanced
malwares powered by AI. This
will severely challenge our way
of digital life and totally disrupt
it.

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The beginning
However, what we have
witnessed so far may be just the
tip of an iceberg. No one knows
exactly how big or deadly cyber
attacks are coming via AI in the
near future.
Our estimate says, cybersecurity
is going to be one of the most
sought after skills in 2021. It
better be ready.

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#HappyLearning
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