How to Use AI in Cybersecurity and Avoid Being Trapped

Feb
24,
2023The
Hacker
NewsArtificial
Intelligence
/
Cybersecurity

The
use
of
AI
in
cybersecurity
is
growing
rapidly
and
is
having
a
significant
impact
on
threat
detection,
incident
response,
fraud
detection,
and
vulnerability
management.

How to Use AI in Cybersecurity and Avoid Being Trapped



Feb
24,
2023
The
Hacker
News
Artificial
Intelligence
/
Cybersecurity

The
use
of
AI
in
cybersecurity
is
growing
rapidly
and
is
having
a
significant
impact
on
threat
detection,
incident
response,
fraud
detection,
and
vulnerability
management.
According
to
a
report
by
Juniper
Research,
the
use
of
AI
for
fraud
detection
and
prevention
is
expected
to
save
businesses
$11
billion
annually
by
2023.
But
how
to
integrate
AI
into
business
cybersecurity
infrastructure
without
being
exposed
to
hackers?

In
terms
of
detecting
and
responding
to
security
threats
in
a
more
efficient
and
effective
manner,
AI
has
been
helping
businesses
in
lots
of
ways.

  • Firstly,
    it
    can
    analyze
    large
    amounts
    of
    data
    and
    identify
    patterns
    or
    anomalies
    much
    faster
    and
    with
    greater
    accuracy
    than
    humans.
    AI
    detects
    and
    responds
    to
    security
    threats
    in
    real-time,
    reducing
    the
    time
    it
    takes
    to
    identify
    and
    remediate
    security
    incidents.
  • The
    algorithms
    can
    learn
    from
    past
    incidents
    and
    adapt
    to
    new
    threats
    as
    they
    emerge.
    With
    it,
    cybersecurity
    systems
    can
    become
    smarter
    and
    more
    effective
    over
    time,
    reducing
    the
    risk
    of
    future
    security
    incidents.
  • In
    addition
    to
    that,
    AI
    can
    automate
    many
    of
    the
    repetitive
    and
    time-consuming
    tasks
    associated
    with
    cybersecurity,
    such
    as
    threat
    monitoring
    and
    incident
    response.
    It
    frees
    up
    cybersecurity
    professionals
    to
    focus
    on
    more
    complex
    tasks
    that
    require
    human
    expertise,
    such
    as
    threat
    analysis
    and
    risk
    assessment.
  • AI
    can
    be
    used
    to
    scale
    cybersecurity
    operations
    to
    meet
    the
    growing
    demand
    for
    security
    services.
    It
    is
    particularly
    important
    as
    the
    number
    of
    devices
    and
    systems
    connected
    to
    the
    internet
    continues
    to
    grow.
  • Its
    algorithms
    can
    proactively
    identify
    vulnerabilities
    and
    potential
    security
    threats
    before
    they
    are
    exploited.
    It
    helps
    organizations
    to
    stay
    one
    step
    ahead
    of
    attackers
    and
    prevent
    security
    incidents
    before
    they
    occur.

Artificial
Intelligence
is
also
widely
used
in
web
filtering
to
help
organizations
and
individuals
protect
against
malicious
websites
and
content
on
the
internet

just
like

SafeDNS
does
.
Its
AI
algorithms
analyze
and
classify
web
content
in
real-time,
which
allows
web
filtering
software
to
quickly
identify
and
block
websites
that
contain
harmful
content,
such
as
malware,
phishing
scams,
and
inappropriate
material.
These
algorithms
can
also
learn
and
adapt
to
new
threats
over
time,
making
web
filtering
more
effective
and
efficient.

AI
also
helps
personalize
web
filtering,
allowing
individuals
and
organizations
to
customize
their
web
filtering
settings
based
on
their
specific
needs
and
preferences.
For
example,
AI
can
be
used
to
learn
an
individual’s
browsing
habits
and
preferences,
and
then
adjust
web
filtering
settings
accordingly.

However,
deploying
AI
in
business
cybersecurity
can
be
a
complex
and
challenging
process,
and
there
are
many
potential
pitfalls
to
avoid
to
ensure
that
AI
is
effectively
integrated
into
your
cybersecurity
strategy.
Here
are
some
tips
to
make
the
process
secure.

Define
clear
goals
and
objectives

Before
deploying
AI
in
your
cybersecurity
strategy,
it
is
important
to
clearly
define
your
goals
and
objectives.
This
will
help
you
to
focus
your
efforts
and
ensure
that
your
AI
solution
is
aligned
with
your
business
needs.

Understand
the
limitations
of
AI

While
AI
can
be
a
powerful
tool
in
cybersecurity,
it
is
not
a
panacea.
It
is
important
to
understand
the
limitations
of
AI
and
the
potential
risks
associated
with
its
use,
such
as
bias
and
false
positives.

Invest
in
training
and
education

Deploying
AI
in
cybersecurity
requires
a
skilled
workforce
that
understands
how
to
work
with
AI
and
interpret
its
outputs.
Invest
in
training
and
education
for
your
cybersecurity
team
to
ensure
that
they
are
equipped
with
the
knowledge
and
skills
needed
to
effectively
deploy
and
manage
AI
solutions.

Test
and
validate
your
AI
solution

Before
deploying
your
AI
solution
in
a
production
environment,
it
is
important
to
thoroughly
test
and
validate
it
in
a
controlled
environment.
This
will
help
to
identify
any
issues
or
weaknesses
and
ensure
that
your
AI
solution
is
functioning
as
intended.

What
if
there
are
no
resources,
both
human,
and
financial,
to
ensure
all
these
tips
are
followed?
Lean
on
a
trustful
vendor.

SafeDNS
already
uses
AI
in
Threat
Protection
via
web
filtering.
Special
offer
for
The
Hacker
News
readers:
10%
off
for
business
with
promocode
“Business_hackernews”.

Insert
it
here

&
try
out
AI
for
your
cybersecurity
today.

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